Understanding Citation Styles: Your Pocket Guide to Citing Academic Sources



One of the most defining aspects of academic research writing is a demonstration of research-oriented findings. Referring to credible sources and data is made possible through the concept of citations. In this blog, we’ll equip you with citation knowledge across multiple different formats and aid in understanding the purpose of each one.
The purpose of citations
When you search the definition of the term ‘citation’ on google, you’re met with the following description: a quotation from or reference to a book, paper, or author, especially in a scholarly work. Citing sources has multiple purposes, the primary focus is to give credit to the original author. When writing a specialised research paper, the author will cite external sources when referencing the material in their own work to establish strength, transparency and authority within their research.
This positions their work in a specific context to depict their stance in the larger discussion. Citations also serve as an efficient way to provide references to others wanting to explore the subject or even use them within their own academic research papers. Overall, citing establishes an important roadmap in the research process.
Why are there different types of citations?
Different citation formats are utilised across different disciplines. While it might be convenient to have one universal citation format, it is not possible because different fields focus on unique information within their respective research; this requires citation formats to be tailored to the field’s primary focus.
The APA (American Psychological Association) citation format is utilised in social sciences like psychology, sociology, anthropology as well as education. Moreover, the MLA (Modern Language Association) citation format is largely used within humanities and the Chicago citation format is applied in the fields of Business, History & Fine Arts. Finally, the Harvard citation format is primarily used in education.
Citing in APA Referencing Format
APA (American Psychological Association) referencing style is a widely used referencing style in social science disciplines, such as psychology, sociology, and education. The style is characterised by the use of in-text citations, which typically include the author's last name and the year of publication of the source being cited.
The APA style requires a detailed reference list, which includes all sources referenced in the text. The reference list is arranged alphabetically by the author's last name, and each entry provides comprehensive information about the source, including the title, publisher, and publication date.
- Book: Author, A.A. (Year of Publication). The Title of work. Publisher City, State: Publisher.
- Journal Article: Last name, Initials. (Year). Article title. Journal Name, Volume(Issue), Page range. DOI or URL
- Magazine: Author, A.A. (Year, a month of Publication). Article title. Magazine Title, Volume(Issue), pp.-pp.
- Newspaper: Author, A.A. (Year, Month Date of Publication). Article title. Magazine Title, pp. xx-xx.
- Website: Author, A.A. (Year, Month Date of Publication). Article title. Retrieved from URL
Citing in MLA Referencing Format
MLA (Modern Language Association) referencing style is a popular method of citing sources used in academic writing, particularly in the humanities. The style is characterised by the use of in-text citations, which typically include the author's last name and the page number(s) of the source being cited. The MLA style also requires a comprehensive list of Works Cited at the end of the document, which includes all sources referenced in the text. The Works Cited page is arranged alphabetically by the author's last name or, if there is no author, by the first word of the title.
- Book: Last Name, First Name. Book Title. Publisher City: Publisher Name, Year Published. Medium.
- Journal Article: Author last name, First name. “Article Title.” Journal Name, vol. Volume, no. Issue, Month Year, Page range. DOI or URL.
- Magazine: Last Name, First Name. “Article Title.” Magazine Name Publication Date: Page Numbers. Medium.
- Newspaper: Last Name, First Name. “Article Title.” Newspaper Name Publication Date: Page Numbers. Medium.
- Website: Last Name, First Name. “Page Title.” Website Title.Sponsoring Institution/Publisher. Publication Date: Page Numbers. Medium.
Citing in Harvard Referencing Format
Harvard style referencing, also known as author-date referencing, is a widely used referencing system that originated from Harvard University. It is a method of acknowledging sources of information in academic writing, by citing the author's last name and the year of publication in the text. Harvard referencing style also requires a detailed list of references at the end of the document, arranged alphabetically by the author's last name, which includes all the sources cited in the text. This style of referencing is used in many disciplines, including the social sciences, humanities, and natural sciences.
- Journal Articles: Surname, Initial. (Year of publication) 'Title of article', Title of Journal, volume number (issue number), page reference. If accessed online: Available at: DOI or URL (if required) (Accessed: date).
- Books: Surname, Initial. (Year of publication) Title. Edition if later than first. Place of publication: publisher. Series and volume number if relevant.
- Newspaper Article: Surname, Initial. (Year of publication) 'Title of article', Title of Newspaper, Day and month, Page reference.
- Online Newspaper Article: Surname, Initial. (Year of publication) 'Title of article', Title of Newspaper, Day and month, Page reference if available. Available at: URL (Accessed: date).
- Website: Surname, Initial. (Year that the site was published/last updated) Title of web page. Available at: URL (Accessed: date).
Citing in Chicago Referencing Format
The Chicago referencing format is commonly used in the fields of Business, History and Fine Arts. It offers two main citation styles: the notes and bibliography style and the author-date style.
The notes and bibliography style involves the use of footnotes to provide brief citations within the text and a corresponding bibliography at the end of the document. In contrast, the author-date style involves in-text citations that include the author's last name and the date of publication. A comprehensive reference list is also required at the end of the document.
- Journal Article: Author last name, First name. “Article Title.” Journal Name Volume, no. Issue (Month or Season Year): Page range. DOI or URL.
- Book: Last Name, First Name. Title of Book. Publisher City: Publisher Name, Year Published.
- Magazine: Last Name, First Name. Article title. Magazine Title, Month Date, Year of publication.
- Newspaper: Last Name, First Name. “Article Title.” Newspaper Name, Publication Date.
- Website: Last Name, First Name. “Page Title.” Website Title. Web Address (retrieved Date Accessed).
Citations and referencing bring attention to details within each format. While it is a time-consuming section to fulfill in an academic paper, it’s also an important skill to have as a researcher, to be able to dissect other research papers and build an authoritative and strengthened academic paper with your own research. Understanding which citation format is best suited for your discipline is equally important; this citation pocket guide covered the 4 commonly utilised citation styles which are APA, MLA, Harvard and Chicago.
Discover an array of academic resources now on Zendy where you can read through research worry-free because we offer automatic citations across all our books, journal articles, proceedings and more.

5 Tools Every Librarian Should Know in 2025
The role of librarians has always been about connecting people with knowledge. But in 2025, with so much information floating around online, the challenge isn’t access, it’s sorting through the noise and finding what really matters. This is where AI for libraries is starting to make a difference. Here are five that are worth keeping in your back pocket this year. 1. Zendy Zendy is a one-stop AI-powered research library that blends open access with subscription-based resources. Instead of juggling multiple platforms, librarians can point students and researchers to one place where they’ll find academic articles, reports, and AI tools to help with research discovery and literature review. With its growing use of AI for libraries, Zendy makes it easier to summarise research, highlight key ideas, and support literature reviews without adding to the librarian’s workload. 2. LibGuides Still one of the most practical tools for librarians, LibGuides makes it easy to create tailored resource guides for courses, programs, or specific assignments. Whether you’re curating resources for first-year students or putting together a subject guide for advanced research, it helps librarians stay organised while keeping information accessible to learners. 3. OpenRefine Cleaning up messy data is nobody’s favourite job, but it’s a reality when working with bibliographic records or digital archives. OpenRefine is like a spreadsheet, but with superpowers, it can quickly detect duplicates, fix formatting issues, and make large datasets more manageable. For librarians working in cataloguing or digital collections, it saves hours of tedious work. 4. PressReader Library patrons aren’t just looking for academic content; they often want newspapers, magazines, and general reading material too. PressReader gives libraries a simple way to provide access to thousands of publications from around the world. It’s especially valuable in public libraries or institutions with international communities. 5. OCLC WorldShare Managing collections and sharing resources across institutions is a constant task. OCLC WorldShare helps libraries handle cataloguing, interlibrary loans, and metadata management. It’s not flashy, but it makes collaboration between libraries smoother and ensures that resources don’t sit unused when another community could benefit from them. Final thought The tools above aren’t just about technology, they’re about making everyday library work more practical. Whether it’s curating resources with Zendy, cleaning data with OpenRefine, or sharing collections through WorldShare, these platforms help librarians do what they do best: guide people toward knowledge that matters. .wp-block-image img { max-width: 85% !important; margin-left: auto !important; margin-right: auto !important; }

Balancing AI Efficiency with Human Expertise in Libraries
AI in libraries is making some tasks quicker and less repetitive. However, even with these advances, there’s something irreplaceable about a librarian’s judgment and care. The real question isn’t whether AI will take over libraries, it’s how both AI and librarians can work side by side. How AI Helps in Libraries According to Clarivate Pulse of the Library 2025 survey, among 2,000 academic library professionals globally, many said they don’t have enough time or budget to learn new tools or skills, a challenge made even harder as global digital content is projected to double every two years. Here’s where AI tools for librarians prove useful: Cataloguing: AI can scan metadata and suggest subject tags in minutes. Search: Smarter search systems help students and researchers find relevant materials without digging through dozens of irrelevant results. Day-to-day tasks: Think overdue notices, compiling basic reading lists, or identifying key sources and trends to support literature reviews. This is where library automation with AI comes in handy. Instead of replacing people, these tools free up time. A librarian who doesn’t have to spend hours sorting through data can focus on supporting students, curating collections, analysing usage statistics to make informed decisions or tracking resource usage against budgets. Where Human Expertise Still Matters AI is fast, but it’s not thoughtful. A student asking, “I’m researching migration patterns in 19th-century Europe, where do I start?” gets much more from a librarian than from a search algorithm. Librarians bring context, empathy, and critical thinking that machines can’t replicate. This is why human-AI collaboration in libraries makes sense. AI takes care of the routine. Humans bring the nuance. Together, they cover ground neither could manage alone. Finding the Balance So how do libraries get this balance right? A few ideas: Think of AI as a helper – not a replacement for staff. Invest in training – librarians need to feel confident using AI tools and knowing when not to rely on them. Keep the focus on people – the goal isn’t efficiency for its own sake, it’s about better service for students, researchers, and communities. Final Thoughts By using AI to handle routine administrative tasks like cataloguing, managing records, or tracking resource usage, librarians free up time to focus on the part of the job that drew them to this profession in the first place: supporting researchers and students, curating meaningful collections, and fostering learning. Combining the efficiency of AI in libraries with the expertise of librarians creates a future where technology supports the human side of education. .wp-block-image img { max-width: 85% !important; margin-left: auto !important; margin-right: auto !important; }

How AI in Higher Education Is Helping Libraries Support Research
Libraries have always been at the centre of knowledge in higher education. Beyond curating collections, librarians guide researchers and students through complex databases, teach research skills, and help faculty navigate publishing requirements. They also play a key role in managing institutional resources, preserving archives, and ensuring equitable access to information. These days, libraries are facing new challenges: huge amounts of digital content, tighter budgets, and more demand for remote access. In this environment, AI in higher education is starting to make a real difference. How AI Makes Life Easier for Librarians Improving Discovery AI-powered search tools don’t just look for keywords, they can understand the context of a query. That means students and researchers can find related work they might otherwise miss. It’s like having an extra set of eyes to point them toward useful sources. Helping with Curation AI can go through thousands of articles and highlight the ones most relevant to a specific course, project, or research topic. For example, a librarian preparing a reading list for a history class can save hours by letting AI suggest the most relevant papers or reports. Supporting Remote Access Students, researchers and faculty aren’t always on campus. AI can summarise long articles, translate content, or adjust resources for different reading levels. This makes it easier for people to get the information they need, even from home. Working Within Budgets Subscriptions remain a major expense for libraries, and ongoing budget cuts are forcing many academic institutions to make difficult choices about which resources to keep or cancel. For example, recent surveys show that around 73% of UK higher education libraries are making budget cuts this year, sometimes slashing up to 30% of their overall budgets, and collectively spending £51 million less than the previous year. This trend is not limited to the UK, universities in the U.S. and elsewhere are also reducing library funding, which has dropped by nearly 20% per student over recent years. Even top institutions like Princeton have cut library hours and student staffing to save on costs. Subscriptions can be expensive, and libraries often have to make tough choices. AI tools that work across large collections help libraries give students and researchers more access without adding extra subscriptions. Trusted Content Still Matters AI is helpful, but the resources behind it are just as important. Librarians care about trusted, peer-reviewed, and varied sources. Librarians and AI: A Partnership AI isn’t replacing librarians. Instead, it supports the work they already do. Librarians are the ones who guide researchers, check the quality of sources, and teach information skills. By using AI tools, librarians can make research easier for students, researchers and faculty, and they can help their institutions make the most of the resources they have. Final Thoughts AI in higher education is making it easier for libraries to support students and faculty, but librarians are still at the centre of the process. By using AI tools alongside strong content collections, libraries can save time, offer more resources, and help researchers find exactly what they need. With the right AI support, research becomes easier to navigate and more accessible without overcomplicating the process. .wp-block-image img { max-width: 85% !important; margin-left: auto !important; margin-right: auto !important; }
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