World's Best Scientists 2026 revealed!
Journal of Information Science
H-index 17

Journal of Information Science

0165-5515

Published by: SAGE

http://jis.sagepub.com/

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 428 37 48 14
Social Sciences and Humanities 764 9 13 7

Additional Metrics

Number of Best Scientists*: 59
Documents by Best Scientists*: 66
Top 100 Ranked Scientists*: 3
SCIMAGO H-index: 81
SCIMAGO SJR: 0.629
Impact Factor: 1.7

Overview

Top Research Topics at Journal of Information Science?

Journal of Information Science aims to foster the development of research in Information retrieval, World Wide Web, Knowledge management, Information system and Artificial intelligence. Journal of Information Science focuses on Information retrieval as well as the interrelated topic of Data mining. World Wide Web research is the primary subject tackled in it with a focus on The Internet.

While it focused on Artificial intelligence, it was also able to explore topics like Machine learning and Natural language processing.

  • Information retrieval (17.88%)
  • World Wide Web (13.47%)
  • Knowledge management (9.39%)

What are the most cited papers published in the journal?

  • Usage patterns of collaborative tagging systems (1714 citations)
  • Towards an integrated crowdsourcing definition (1119 citations)
  • Social network analysis: a powerful strategy, also for the information sciences: (1045 citations)

Research areas of the most cited articles at Journal of Information Science:

The journal publications mostly deal with topics like Information retrieval, Knowledge management, World Wide Web, Information science and Artificial intelligence. While Information retrieval is the key highlight in the published papers, thet also covered some subjects on Data mining and Document retrieval. Aside from discussions in World Wide Web, the published papers also deal with the subject of Internet privacy which intersects with The Internet disciplines.

What topics the last edition of the journal is best known for?

  • Law
  • World War II
  • Artificial intelligence

The previous edition focused in particular on these issues:

The journal is mainly concerned with subjects like Information retrieval, Artificial intelligence, Data science, Natural language processing and Social media. The journal facilitates discussions on Information retrieval that incorporate concepts from other fields like Term (time), Information needs and Data set. The journal investigates Artificial intelligence research which frequently intersects with Machine learning.

While work presented in Journal of Information Science provided substantial information on Data science, it also covered topics in Social network, Bibliometrics, Extraction (military) and Big data. The studies in Natural language processing featured incorporate elements of Transfer of learning and Similarity (network science). Social media research featured in Journal of Information Science incorporates concerns from various other topics such as China, Public relations and Internet privacy.

The most cited articles from the last journal are:

  • A review of author name disambiguation techniques for the PubMed bibliographic database (12 citations)
  • Intelligent detection of hate speech in Arabic social network: A machine learning approach: (9 citations)
  • Spam profiles detection on social networks using computational intelligence methods: The effect of the lingual context: (9 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing in Journal of Information Science (based on the number of publications) are:

  • Charles Oppenheim (43 papers) absent at the last edition,
  • David Bawden (26 papers) absent at the last edition,
  • Peter Willett (24 papers) absent at the last edition,
  • George McMurdo (23 papers) absent at the last edition,
  • Blaise Cronin (18 papers) absent at the last edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing in Journal of Information Science (based on the number of publications) are:

  • University of Sheffield (82 papers) absent at the last edition,
  • City University London (77 papers) published 1 paper at the last edition,
  • Loughborough University (64 papers) absent at the last edition,
  • Nanyang Technological University (34 papers) absent at the last edition,
  • University of Strathclyde (28 papers) published 2 papers at the last edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 6.40% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 3.42% were posted by at least one author from the top 10 institutions publishing in the journal. Another 4.27% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.80% of all publications and 73.50% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Career Opportunities in Information Science

The knowledge and skills learned through studying the topics covered by the Journal of Information Science might guide your path towards a variety of career choices. While academia and research roles are a common path, other opportunities may include becoming a data analyst, data scientist, or even an educator in the field. In fact, many graduates with a focus on subjects like Artificial Intelligence or Data Mining find rewarding opportunities in teaching, often at the middle school or high school level.

If the field of education seems appealing, you might be interested in learning about the requirements to become a middle school math teacher. Certain states in the U.S., such as Minnesota, have specific prerequisites to enter this career. You might wonder how long does it take to become a middle school math teacher in Minnesota, for instance. There you can find useful information detailing the necessary steps towards achieving this career goal.

Whether you are fascinated by the inner workings of Information Retrieval or passionate about the World Wide Web and its implications, Information Science offers a wealth of opportunities, from impacting the academic world with new research findings to influencing young minds in the classroom.

Top Publications

  • Intelligent detection of hate speech in Arabic social network: A machine learning approach:

    Ibrahim Aljarah;Maria Habib;Neveen Mohammed Hijazi;Hossam Faris

    (2021)
    91 Citations
  • Factors influencing researchers’ journal selection decisions:

    Jennifer Rowley;Laura Sbaffi;Martin Sugden;Anna Gilbert

    (2020)
    51 Citations
  • Exploring the dominant features of social media for depression detection

    Jamil Hussain;Fahad Ahmed Satti;Muhammad Afzal;Wajahat Ali Khan

    (2020)
    43 Citations
  • Detection of conspiracy propagators using psycho-linguistic characteristics:

    Anastasia Giachanou;Bilal Ghanem;Paolo Rosso

    (2021)
    35 Citations
  • Spam profiles detection on social networks using computational intelligence methods: The effect of the lingual context:

    Ala’ M Al-Zoubi;Ja’far Alqatawna;Hossam Faris;Mohammad A Hassonah

    (2021)
    33 Citations
  • Does the use of open, non-anonymous peer review in scholarly publishing introduce bias? Evidence from the F1000Research post-publication open peer review publishing model:

    Mike Thelwall;Liz Allen;Eleanor-Rose Papas;Zena Nyakoojo

    (2021)
    26 Citations
  • Understanding data search as a socio-technical practice:

    Kathleen M. Gregory;Helena Cousijn;Paul Groth;Paul Groth;Andrea Scharnhorst

    (2020)
    25 Citations
  • Improved multi-lingual sentiment analysis and recognition using deep learning

    (2023)
    25 Citations
  • Assessing the credibility of COVID-19 vaccine mis/disinformation in online discussion

    Reijo Savolainen

    (2021)
    21 Citations
  • Finding top performers through email patterns analysis

    Qi Wen;Peter A Gloor;Andrea Fronzetti Colladon;Praful Tickoo

    (2020)
    21 Citations

Related Online Degrees & Career Pathways

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Best Scientists Contributing to This Journal

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