35th Annual Conference on Learning Theory (COLT 2022) (COLT)

This ranking presents a comprehensive evaluation of scientific conferences in the field of Computer Science, meticulously compiled by Research.com—a leading platform delivering authoritative data on scientific contributions across all major research areas since 2014. Recognized for its commitment to integrity and reliability, Research.com has designed a unique bibliometric scoring system to ensure the transparency and accuracy of this ranking.

The conference positions in this ranking are determined by an innovative bibliometric score, carefully developed by the specialists at Research.com. This score is calculated based on the estimated h-index of the conferences and the number of leading scientists who have participated in these events over the three most recent years. The Impact Score values reflected in this ranking were collected on 2024-11-27, representing the most up-to-date insights into conference influence within the Computer Science community.

The ranking process involved a rigorous and thorough analysis that began with the examination of more than 2,742 conferences. Each conference was selected for consideration following detailed scrutiny and stringent evaluation criteria. This selection was informed by the inspection of over 148,739 scientific documents published within the past three years, authored by 13,184 prominent and highly regarded scientists specializing in Computer Science.

This method ensures an accurate reflection of scientific excellence, community engagement, and the ongoing impact of each conference. The in-depth research and multi-layered analysis underpinning this ranking aim to offer a valuable resource for scholars, institutions, and professionals seeking to identify leading venues for research dissemination and collaboration.

For a comprehensive explanation of the methodology and metrics utilized in calculating the conference 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 Conference on Learning Theory (based on the number of publications) are:

• Manfred K. Warmuth (47 papers) absent at the last edition,
• Peter L. Bartlett (38 papers) published 2 papers at the last edition, 1 more than at the previous edition,
• Robert E. Schapire (37 papers) absent at the last edition,
• Yishay Mansour (36 papers) published 2 papers at the last edition, 1 more than at the previous edition,
• Avrim Blum (32 papers) published 1 paper at the last edition the same number as at the previous 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 Conference on Learning Theory (based on the number of publications) are:

• Massachusetts Institute of Technology (159 papers) published 15 papers at the last edition, 2 less than at the previous edition,
• Microsoft (136 papers) published 10 papers at the last edition, 1 less than at the previous edition,
• University of California, Berkeley (105 papers) published 11 papers at the last edition, 4 more than at the previous edition,
• Princeton University (99 papers) published 7 papers at the last edition, 3 less than at the previous edition,
• Technion – Israel Institute of Technology (92 papers) published 3 papers at the last edition the same number as 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 2021 edition, 1.37% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 50.69% were posted by at least one author from the top 10 institutions publishing at the conference. Another 13.19% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 20.83% of all publications and 15.28% 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.