Let's Analyze What Makes a Good H-Index Score
Mar 7, 2023 |
8 Mins ReadUnderstanding H-Index
The H-index is a metric that measures an author’s productivity by the number of publications that have published their work and the impact of the work based on the number of citations their research receives. In general, authors with a higher h-index score will have produced more research and therefore published more content which, to their peers, creates their reputation of credibility.
This quantitative metric was brought about in 2005 by Argentinian-American professor of physics Jorge E. Hirsch to analyse publication data.
Finding an author’s H-index
There are multiple platforms on which you may find an author’s H-index score. To name a few, Google Scholar, Scopus, Web of science etc. However, in this blog, we’ll take you through the process of locating an author’s H-index on google scholar as shown below.
- Visit Google Scholar
- Enter the author’s name in the search bar
- If a profile exists for the author, it will appear at the top of the search results, click the author's name, and their profile page will open.
- View their h-index on the right side of the screen.
Calculating H-Index Score
The H-index measures the importance, significance, and impact of research contributions. To calculate an author’s H-index, you’d need to create a list of all publications in which the author has been published and rank them in descending order of the citations his/her work has received. Understanding the H-index of an author is an indication of their credibility, so that brings us to the question:
What is a good H-index score?
J. E. Hirsch (2005) observes that Noble Prize winners in physics have an average H-index score of 30, this highlights that Noble prize winners are selected with a scientific body of research and a history of contributional impact. This proved that successful scientists do need a good h-index score.
Hirsch stated that after 20 years of research; an H-index score of 20 was good, 40 was outstanding and 60 was truly exceptional.
Does the H-index score evaluate an author in all important aspects?
Undoubtedly, it is appealing to have a singular value that measures an author's productivity and impact. Many committees have opted the H-index as their metric of choice as well. Bordons and Costas (2007) stated that the key advantage of the H-index metric is that it measures the scientific output of a researcher with objectivity. This plays a vital role in making decisions about promotions, fund allocation and awarding prizes.
However, there are suggestions that H-index does not take other important variables into account. According to Enago Academy (2022), a higher H-index score does not indicate better quality of research. The article further elaborates that the H-index score does not account for an author’s career stage, research and journal quality and contribution to the scientific community. The score also has potential unintended negative impacts; for example, a younger researcher may not challenge a researcher with a high h-index score and researchers aiming for a higher h-index may only pursue popular fields of science.
Furthermore, BiteSizeBio (2021) states that the H-index score does not take into account the number of authors on a research paper. If a paper has 1 author with about 100 citations, this researcher deserves more recognition than a paper that had 10 authors with similar citations.
The fluctuation of the H-index score
The H-index score does not decrease unless the paper is redacted or deleted. Older papers may continue to gain new citations, and the h-index can potentially increase indefinitely, even after the researcher has stopped actively publishing.
What is the difference between H-index and the journal impact factor?
The Journal Impact Factor metric is used to evaluate the importance of a journal within its respective field or discipline. In simpler terms, it measures the frequency of citations the average article within this journal receives. On the contrary, the H-index metric is used to measure the productivity and quality of an author’s publications. While they are both measures of research quality, they measure different aspects of research and can therefore not be compared.
To conclude, having a good H-index score is impressive. However, every author’s research contrasts with that of another. There are many more aspects to investigate when evaluating a researcher.
Discover millions of e-books, journal articles, proceedings and more on Zendy.
Research Better: 5 Best AI Tools for Research Efficiency
The increased usage of AI tools has sparked many conversations in the world of academia, which inspired the innovation of AI tools for research. The integration of technology in academia has brought innovation that introduced digital libraries, plagiarism trackers and grammar-checking softwares, this changed the way researchers write and discover academic literature. In recent years, the academic sphere has witnessed the rapid growth and implementation of AI, which we believe can be leveraged to create efficiency in research. As an AI-powered research library, Zendy provides key tools like summarisation and keyphrase highlighting to streamline the process of literature review, we also developed and launched ZAIA, the AI research assistant. These tools have been designed to create efficiency in research, which allows researchers to invest significant time in data analysis and their primary research. With the growing integration of AI products, we believe in the ethical use of AI in the world of research while also harnessing the innovative technology to streamline research processes amongst students and researchers alike. According to a study that looked at the usage of AI amongst students, it was found that every fourth student (25.2%) uses AI-based tools frequently, while almost half of the students (47.8%) use AI-based tools occasionally. Slightly more than a third of the students (36.6%) do not use AI-based tools at all. In this blog, we recommend the 5 best AI-driven tools to assist you with annotating, citing and more!1. Semantic Scholar Housing over 200 million papers from all fields of science, this tool generates a comprehensive summary of an academic paper, including the area of study the research addressed and its overall impact on the discipline. 2. ZAIA AI Assistant for Research ZAIA is a domain-specific LLM designed to assist researchers in understanding essential research concepts and finding relevant papers. This tool enhances the efficiency of the literature review process, providing answers backed by millions of academic research papers. 3. Tableau This tool generates date visualisation and analytical tools for businesses and researchers. The platform is equipped with Einstein AI which is driven by machine learning and delivers predictions and recommendations within Tableau workflows to assist with efficient decision-making. 4. Scite.ai This is a well-rounded citation tool that provides context to citations by clearly stating whether an academic paper supports or contrasts the cited claim. This helps researchers save time having to read lengthy papers and quickly determine whether the citation is relevant to their research. 5. Consensus AI This tool annotates insights about research papers using AI. It produces “study snapshots” to condense lengthy research papers by mentioning study aims, variables, and findings. The platform also provides credible responses backed by academic papers to queries, by presenting research papers that both support and contrast the query, allowing users to browse through objective responses. Limitations of AI Tools While AI tools are effective in streamlining research processes, they raise ethical concerns and can impact research integrity if misused. AI raises ethical issues including data privacy, algorithm bias and misuse of AI. However, due to the increasing usage of AI tools, policies are developing quickly to ensure the technology is adequately regulated. Tips for Using AI Tools in Research Follow these recommendations to ensure ethical AI usage: Always fact-check content generated by AI tools Do not write academic articles using AI tools. Instead, use these tools to edit and structure original research content. Do not use AI tools to generate references, instead use it to manage and store the references. Use AI tools that produce accurate results. Incorporate your own voice and style of written content as much as possible. In conclusion, AI is a resourceful innovation in academic research when used ethically. The correct and responsible usage of AI can create immeasurable efficiency in research processes, and aid in citation management, resource annotation, data visualization, literature discoverability and summarisation.Discover a comprehensive suite of AI-driven tools like summarisation, keyphrase highlighting and ZAIA - AI assistant for research on Zendy now.
23 Reflections to Recap Zendy's 2023 Journey
Welcome to Zendy’s annual recap, where we reflect on another year of milestones. The ever-evolving landscape of scholarly communication this year was anything but stagnant, dominated by themes of openness, integrity, inclusion, and innovation. As we reflect on 2023, we're proud to have welcomed new publishers, attended events, celebrated milestones with our users, and released some really great features to continue to support our users on their research and learning journey. How we enhanced our user experience We developed and launched ZAIA Our most anticipated and exciting feature launch this year was ZAIA - Zendy's AI assistant. Ask any question, and ZAIA will analyse millions of researchers papers to give you credible answers backed by references. If you haven't already, log in to your Zendy account and put ZAIA to the test! We launched Zendy Plus globally We launched our global subscription plan at Frankfurt Book Fair 2023! The plan allows students, researchers and professionals globally to access scholarly material from leading publishers for the monthly price of a single research paper. This was a key milestone for us as our previous Zendy Plus plan was limited to several countries. Having an affordable and equitable access model strengthens our mission to remove the barriers to scholarly literature. Keyphrase Highlighting We released an AI-powered keyphrase highlighting tool. Instead of having multiple tabs open, looking for definitions and further research on a concept, Zendy highlights keyphrases in just one click to allow readers to grasp key research concepts quickly. Summarisation We also released an AI-powered summarisation tool. This tool summarises lengthy research papers into a concise paragraph on demand. This significantly helps readers save time during literature review. Reading Lists Earlier this year, we launched a reading list feature. Reading lists can be used to organise and categorise research papers according to projects, subject areas or whichever method the reader finds simplest to navigate through. New UI coming soon The team has been working on a brand new UI to transform the user journey on Zendy. Zendy will reveal a new fresh look very soon, with additional personalisation features to further enhance the discovery of scholarly literature. Milestones we marked with our users Welcomed over 400,000 readers We’re proud to support over 400,000 readers from 200 countries and territories on Zendy! We thank our valued community for their consistent support. The trust of our community fuels our mission to keep striving for a world where equal access to research is a reality. Over a 6 million searches & 2.5 million downloads We have seen over 6 million keywords searched on the platform. Searches ranging from the neural networks, to enteric bacteria, and social impact - we’re proud to support a diverse community of students, researchers, and professionals. We marked over 2.5 million downloads on Zendy! As we continue to work with new publishers, we look forward to bringing an even better selection of content to our readers. We exhibited, presented, and attended many events! Presented at Charleston Hub 2023 Our Partner Relations Manager, Sara Crowley Vigneau presented at Charleston Hub in partnership with IGI Global. The presentation titled ‘On the Open Road: The story of an OA publication through the stakeholder journey’ looked at the journey of a publication through the eyes of each custodian. Exhibited at STEP 2023 Earlier this year, our team exhibited Zendy at STEP 2023. Showcasing our Zendy alongside various startups inspired the team to learn from other tech products in the Middle Eastern region. Sponsored and presented at the Forum for Open Research MENA We were proud to sponsor the Forum of Open Research MENA, which is an event that highlights and advances open access initiatives in the Arab region. Our head of technology, Rodrigo Pinto, presented his insightful research paper titled, "Leveraging Big Data and Machine Learning to Enhance Open Data Quality: Insights for Developing Regions." Exhibited at Frankfurt Book Fair It was a pleasure to exhibit and connect with new and existing partners at Frankfurt Book fair 2023. We hosted a launch event at this year's fair, showcasing our Zendy Plus global subscription offering. Thanks to all who attended! Presented at the MENA Panel Our co-founder, Kamran Kardan spoke at The MENA panel titled, “AI wrote this abstract: The Impact of AI on higher education and academic research.” The discussion touched on the impact of AI on higher education, dissecting how it affects teaching, learning and ethical guidelines. Attended London Book Fair We attended the London Book Fair earlier this year. Our team met with many of our partners and other key leaders in scholarly communication. We look forward to exhibiting at next year’s fair. Exhibited at UKSG 2023 We also exhibited at our first UKSG conference this year. It was a really great experience connecting with and learning from some of the best minds in our global knowledge community. Joint Webinar with InTechOpen We partnered with InTechOpen to host a joint webinar titled, “Emerging Technologies - Partnering for Accessibility, Discoverability and a Sustainable Future.” Zendy’s Head of Marketing, Monica Chinsami, presented on the panel alongside Prof Tatiana Morosuk, Editorial Board Member of IntechOpen's Green Energy and Environmental Technology (GEET) journal, and Dr Jo Havemann, Co-founder of AfricArXiv. We welcomed new partners IEEE In September, we integrated IEEE’s open access research content. This partnership has brought significant technological research across various areas of study, like aerospace, robotics and more on Zendy. IT Governance In June, we partnered with IT Governance, which is a leading publisher of books on information technology, cybersecurity and governance. IGI Global We partnered with IGI Global, a leading publisher focused on research across different specialisms under the vast umbrella of Science. This partnership saw the addition of leading e-journals as well as book content across subject areas including Business & Management; Scientific, Technical, Medical (STM); and Education. Bristol University Press We also signed an agreement with Bristol University Press. BUP is well known for producing scholarship that advances theory, knowledge and learning within and beyond academia. InTechOpen We also welcomed IntechOpen to our partner community. InTechOpen specialises in journals and books in the fields of Medicine, Technology and Science. A couple of things we published Published SDG Report This year, we published an SDG report in partnership with Knowledge E. This comprehensive report helps us keep track of our efforts in accelerating the aims of the UN’s publishers compact. With a focus on SDG 4 (Quality Education) and SDG 10 (Reduced Inequalities), Zendy progresses to ensure that academic research is accessible to everyone everywhere. An analysis of OER’s on Research Information Our co-founder, Kamran Kardan, wrote a piece on the future of Open Educational Resources and how the industry is preparing for them. In summary, with the uncapped potential of responsible AI, the future looks bright and full of innovative opportunities to positively impact societal progress. We look forward to continuing our journey together in 2024, and we thank you for your unwavering support. ol { margin-top: 0 !important; margin-bottom: 0 !important; } ol li { margin-left: 2rem !important; } p { word-break: initial !important; }
Understanding Research Hypothesis: Perfect your hypothesis for your research statement
In academic research, the hypothesis statement directs the course of investigation and exploration. It serves as the foundation of an experiment as it is a proposed outcome, this guides the methodology and findings of a research design. In this blog, we shed light on the significance and intricacies of formulating an effective hypothesis that solidifies the approach while investigating its impact on relevant variables. What is a research hypothesis? A research hypothesis is a testable statement that predicts the relationship between two variables and how they impact one another. A good research hypothesis has no ambiguity, clearly specifies variables and is structured to be proven or countered depending on the trajectory of the study. This statement should also specify how the study aims to generate new knowledge through the experiment. What are the different types of hypotheses? Hypothesis TypeDefinitionExampleSimpleProposes a relationship between independent and dependent variable.Increased sunlight exposure leads to higher plant growth.ComplexProposes relationships between two or more independent and dependent variables.Increased sunlight exposure impacts the growth rate of specific plant species, and this effect is contingent upon factors such as the plant's genetic makeup, soil composition, and optimal climatic conditions, implying that while sunlight plays a crucial role, its influence on plant growth is mediated by multifaceted environmental and genetic variables.DirectionalDetails the directions derived from theory, specifies the steps to be taken to identify a relationship between relevant variables.Increased sunlight exposure significantly increases the rate of plant growth.Non-directionalDoes not predict exact nature of relationship between variables and is usually applied when there’s an absence of theory and contradictory results.There is a relationship between sunlight exposure and plant growth.NullProposes that there is no relationship between variables, justifies the generation of results through chance.There is no significant effect of increased sunlight exposure on plant growth.AlternativeOpposite to null, alternative hypothesis states that there is a significant relationship between two variables.Increased sunlight exposure is associated with higher plant growth. Components of a hypothesis In the case of research experiments, a good hypothesis contains independent and dependent variables, the predicted relationship between them, and the outcome of this relationship. Example hypothesis: Variables: Employee job satisfaction (independent variable) influences productivity levels (dependent variable) within an organization. Predicted Relationship: Higher job satisfaction among employees will lead to increased productivity levels. Outcome: The study might find that departments or teams with higher job satisfaction scores tend to demonstrate greater productivity, implying a positive relationship between job satisfaction and productivity. Why is a well-written hypothesis important? A well-written hypothesis is the foundation of a research study, it helps the researcher determine how to address the investigation. A good hypothesis also aids in assuming the probability of the study’s failure or progress while also ensuring the methodologies are scientifically valid. Furthermore, the research hypothesis statement links the underlying theory to the research question while also measuring the reliability and validity of the study itself. Common hypothesis errors to avoid Your research hypothesis should be specific and clear. When constructing the hypothesis, try to be as concise as possible while understanding that less is more. The following should be avoided in research hypotheses: Ambiguity, overgeneralisation and lack of specifics Having too many variables without establishing clear relationship between them Unvalid or insufficient justification of variable relationship FAQs What are some tips for ensuring testability of a hypothesis? The hypothesis should be structured in a way wherein the possibility of it being being false or true is present. Furthermore, the results of the hypothesis should be reproducible. How do I differentiate between a research question and a research hypothesis? A research question states what the study will investigate without making any assumptions or predictions, whereas a hypothesis answers that question through predicting relationships between variables and their possible outcome. What are the potential drawbacks of a poorly formulated hypothesis? Having a poor hypothesis structure can negatively impact the research design as the hypothesis statement guides the methodology and findings sections. Discover millions of open access research papers across an array of disciplines on Zendy now. ol, ul { margin-top: 0px !important; margin-bottom: 0px !important; } p, ul, li, ol { word-break: initial !important; }