Forum for Information Retrieval Evaluation (FIRE)

Name: Forum for Information Retrieval Evaluation
Start: 2022-12-09
End: 2022-12-13
Location: Kolkata

Location: Kolkata , India

Conference dates: 12/9/2022 - 12/13/2022

Research H-index

Official website

Ranking & Metrics

Discipline name	Position	Best Scientists	Publications	D-Index
Computer Science	601	19	30	6

Call for Papers

Topics of interest include, but are not limited to

Search and Ranking: Research on core algorithmic topics in IR:
Queries and query analysis (e.g., Query understanding, query reformulation, query representation etc.)
Retrieval models and ranking (e.g., Cross lingual IR, ranking algorithms, language models, retrieval algorithms, learning to rank etc)
Efficiency and scalability (e.g., distributed search, search engine architecture, indexing, crawling etc)
Domain Specific: Research on domain specific IR:
Applications in Social Media (e.g., Hate speech recognition, social network in search etc.)
Applications in Finance (e.g., Stock market prediction, other applications in finance)
Applications in Legal (e.g., Patent discovery, verdict summarization, other applications in law)
Applications in Health (e.g., Biomedical IR, medicine, genomics, other applications in health)
Other applications and domains
Recommendation Systems: Research on Recommendation systems, content representation and content analysis:
Recommendation algorithms (e.g., Content based filtering, collaborative filtering etc.)
Document representation and analysis (e.g., Summarization, text representation, sentiment analysis etc.)
Knowledge acquisition (e.g., Information extraction, event extraction etc.)
Multimodal and Crossmodal IR/Recsys model
Visual Question Answering
Image search/recommendation
Multimodal document summarization
Bridging the gap between AI and IR:
Supervised/Weakly supervised deep neural networks
Word Embedding Methodologies
Question answering
Conversational systems
Machine Translation
Evaluation: Research on evaluation of IR systems:
User centric evaluation (e.g., User experience, user engagement etc)
System centric evaluation (e.g., Evaluation metrics)
Explainability, Fairness and Trust of IR/Recsys models
Explainable models for ranking, text classification/clustering, summarization etc.
User studies for explainable AI (XAI) applied to IR/Recsys
Issues related to fairness and trustworthiness of IR/Recsys models

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.

Top authors and change 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.

Top affiliations and change over time

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.

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