World's Best Scientists 2026 revealed!
ACM

FIRE 2026 — 18th Annual Meeting of the Forum for Information Retrieval Evaluation (FIRE)

Location: Indian Statistical Institute, Kolkata , India

Submission deadline: 8/15/2026

Conference dates: 12/17/2026 - 12/20/2026

Research H-index
7

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 488 19 35 7

Call for Papers

FIRE is the annual evaluation forum for information retrieval in South Asian and multilingual settings, organised by the Information Retrieval Society of India. It invites original contributions on information retrieval, evaluation and benchmarking, multilingual retrieval, NLP for Indian languages, recommender systems, question answering, search. Submissions may take the form of full research papers, extended abstracts and poster presentations reporting theoretical, computational and experimental work, as well as industrial case studies and applications. The meeting brings together researchers, engineers, industry practitioners and students to exchange recent results and discuss emerging directions in the field. Accepted papers are published in the conference proceedings (ACM).

Overview

This ranking provides a comprehensive evaluation of scientific conferences within the field of Computer Science. The ranking was meticulously developed by Research.com, a recognized authority in the dissemination and analysis of science research data. Since 2014, Research.com has been at the forefront of providing trusted information on scientific contributions spanning major disciplines, including Computer Science.

Conference positions in this ranking are determined using a proprietary bibliometric score formulated by Research.com. This unique score incorporates the estimated h-index alongside the count of leading scientists who have participated in each conference during the previous three years, ensuring a robust and multi-faceted assessment of conference impact. The Impact Score values featured here were collected as of 2024-11-27.

In constructing this ranking, Research.com undertook an in-depth analysis that involved the examination of over 2,742 conferences. This selection resulted from a thorough screening process that encompassed an exhaustive review of more than 148,739 scientific documents published within the last three years. Contributions were analyzed from 13,184 leading and exceptionally respected scientists specializing in Computer Science, demonstrating the depth and rigor of the research process.

To learn more about the detailed methodology employed in computing these ranking scores, please refer to our Methodology Page.

Papers citation over time

A key indicator for each conference 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 at Forum for Information Retrieval Evaluation (based on the number of publications) are:

  • Paolo Rosso (10 papers) published 2 papers at the last edition the same number as at the previous edition,
  • Prasenjit Majumder (9 papers) published 2 papers at the last edition the same number as at the previous edition,
  • Debasis Ganguly (8 papers) published 2 papers at the last edition,
  • Gareth J. F. Jones (7 papers) published 1 paper at the last edition,
  • Sukomal Pal (7 papers) absent at the last edition.

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

Only papers with recognized affiliations are considered

The top affiliations publishing at Forum for Information Retrieval Evaluation (based on the number of publications) are:

  • Amrita Vishwa Vidyapeetham (12 papers) absent at the last edition,
  • Indian Institute of Technology Kharagpur (9 papers) published 4 papers at the last edition, 1 more than at the previous edition,
  • Dublin City University (8 papers) published 1 paper at the last edition,
  • Indian Statistical Institute (8 papers) published 1 paper at the last edition,
  • Polytechnic University of Valencia (7 papers) published 2 papers at the last edition, 1 more than at the previous edition.

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

Publication chance based on affiliation

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

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 2020 edition, 12.50% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 57.14% were posted by at least one author from the top 10 institutions publishing at the conference. Another 21.43% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 7.14% of all publications and 14.29% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference 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 conference 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 at a conference. The index includes the authors publishing at the last edition of a conference, 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.

Related Online Degrees & Career Pathways

For students interested in advancing their knowledge in computer science, several online options cater to varying career goals and timelines. Those eager to complete their education quickly might consider a fast track computer science degree, which offers a streamlined curriculum designed to help graduates enter the workforce sooner.

Data science continues to grow as a lucrative field, and pursuing the cheapest master in data science can provide an affordable gateway to roles in data analytics, business intelligence, and machine learning without the burden of excessive tuition fees.

For those interested in cutting-edge research and innovation, pursuing a phd in artificial intelligence usa offers opportunities to contribute to advancements in AI technologies, impacting industries worldwide.

With cybersecurity threats on the rise, completing a cyber security fast track program can fast-track your entry into this critical sector, equipping you with the skills to protect information and systems effectively.

Best Scientists who published in this Conference

Related Articles

Recently Published Articles