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ACM

12th ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR 2022) (ICTIR)

Location: Madrid , Spain

Submission deadline: 4/26/2022

Conference dates: 7/14/2022 - 7/15/2022

Research H-index
15

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 199 54 87 15

Call for Papers

Key Dates:

Paper submission deadline: April 26, 2022
Notification of acceptance: June 7, 2022
Camera ready deadline: July 1, 2022
Conference date: July 14-15, 2022
Time Zone: Anywhere on Earth (AoE)

Topics:

IR theory and practice
New retrieval problems
Retrieval algorithm behavior analysis
Recommendation algorithm behavior analysis
Understanding IR models
Quantum IR or other non-conventional retrieval models and ranking
New evaluation measures, mathematical analysis of measures
New evaluation paradigms
User aspects of IR
Interactive and dynamic search
Information seeking
Modelling and simulation of information interaction
Contextual and personalized search
Search interfaces
Understanding context information
Understanding retrieval results
User modeling for ranking and evaluation
IR system architectures and scalability
Understanding IR system architecture
Efficient content representation
Compression for IR
String processing for IR
IR system scalability
Content representation and processing
Natural language processing for IR
Multimodal IR
Multilingual IR
Linguistic analysis
Text representation
Topic models
Machine learning for IR
Deep learning
Kernel methods
Markov decision processes
Online learning
Optimization
Hyper-parameter and model selection
Reinforcement learning
Applications of IR
Information extraction
Information fusion
Legal IR
Patent search
Search applied to the Internet of Things
Semantic search
Sentiment analysis
Social good and collaborative search
Voice and image search
Structured, semi-structured data and databases
Task-based and exploratory search
Web, digital libraries and social media search

Page Length
To facilitate the exchange of ideas on the theory of IR, this year we allow submissions of any length between 2 and 9 pages, plus unrestricted space for references. However, page length should be commensurate with contribution size and authors should submit a paper whose length reflects what is needed for the content of the work. Reviewers will assess whether the contribution is appropriate for the given length. Consequently, there is no longer a distinction between long and short papers, nor a need of condensing or enlarging medium-length ones. We may however allocate more presentation time to longer papers during the conference. We hope this new streamlined process will preserve the variety of paper lengths and foster the exchange of ideas without creating an artificial distinction among them.

Reviewing Process
The review process for all submissions is double-blind, and authors must take all reasonable steps to conceal their identity. For this reason, ICTIR follows the ACM SIGIR policy of strongly discouraging uploading papers onto arXiv.org until after final notification.

Accepted papers must be relevant to the theme of ICTIR. Results will be judged on the degree to which they have advanced the theoretical understanding of IR or how much they have offered generalizable observations in IR. Evaluation expectations for submissions are less demanding than in other IR conferences, but some degree of evaluation is still expected and valued unless it is a purely theoretical work (e.g., a proof of an important theorem). The relevant literature should be properly cited and reviewed.

Submissions will be rejected without review if they are over the specified page limit, if they violate the formatting guidelines, if they are not anonymous, or if they are incomplete.

Style and Author Instructions
All submissions must be in English, in PDF format, and in ACM two-column format. Suitable LaTeX and Word templates for ICTIR are available from the ACM website. The algorithms, resources, and methods used within a paper should be described as completely as possible. Authors may upload supplementary material, including detailed descriptions, test datasets, or code; however, this information is not part of the submission paper, and will be read only at the discretion of the reviewers. Papers must be submitted electronically via the conference submission system. Authors should carefully go through ACM’s authorship policy before submitting a paper.

Submissions should be submitted electronically via EasyChair:

https://login.easychair.org/my/conference?conf=ictir2022

Overview

This comprehensive ranking presents a detailed evaluation of the leading scientific conferences in the field of Computer Science. The ranking is meticulously curated by Research.com, a prominent platform recognized for providing reliable data and insights on scientific achievements across major disciplines since 2014. Renowned for its authority in science metrics, Research.com has leveraged its expertise to establish this trusted resource for the Computer Science community.

Each conference's position in the ranking is determined by a unique bibliometric score, specially developed by Research.com. This score is calculated using a combination of the estimated h-index and the number of distinguished scientists who have participated in the conference over the previous three years, offering a multi-dimensional view of each event's scholarly impact and influence within the field.

The ranking features up-to-date Impact Score values, collected as of November 27, 2024, ensuring a reliable and current perspective on conference significance. To ensure comprehensive coverage and depth, the evaluation process rigorously assessed more than 2,742 conferences, shortlisted through an exhaustive review process involving over 148,739 scientific documents published in the last three years. Contributions from 13,184 leading and well-respected Computer Science experts were examined, reflecting an extraordinary depth of research and analysis.

For a detailed explanation of the methodology and criteria used in calculating the ranking scores, including further insights into the bibliometric score computation, 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 International Conference on the Theory of Information Retrieval (based on the number of publications) are:

  • Oren Kurland (11 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • Jimmy Lin (11 papers) published 4 papers at the last edition the same number as at the previous edition,
  • Leif Azzopardi (10 papers) published 2 papers at the last edition, 1 less than at the previous edition,
  • Hui Fang (10 papers) published 2 papers at the last edition, 1 less than at the previous edition,
  • Guido Zuccon (9 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 International Conference on the Theory of Information Retrieval (based on the number of publications) are:

  • University of Glasgow (23 papers) published 5 papers at the last edition, 4 more than at the previous edition,
  • University of Waterloo (17 papers) published 5 papers at the last edition, 1 more than at the previous edition,
  • Microsoft (16 papers) published 3 papers at the last edition, 1 less than at the previous edition,
  • University of Delaware (15 papers) published 2 papers at the last edition, 2 less than at the previous edition,
  • University of Amsterdam (14 papers) published 7 papers at the last edition, 4 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 2017 edition, 1.45% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 44.12% were posted by at least one author from the top 10 institutions publishing at the conference. Another 22.06% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 20.59% of all publications and 13.24% 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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