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ACM

16th ACM Conference on Recommender Systems (RecSys)

Location: Seattle , United States

Submission deadline: 4/26/2022

Conference dates: 9/18/2022 - 9/23/2022

Research H-index
38

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 43 186 351 38

Call for Papers

Topics of interest for RecSys 2022 include but are not limited to (alphabetically ordered):

Algorithm scalability, performance, and implementations
Bias, fairness, bubbles, and ethics of recommender systems
Case studies of real-world implementations
Conversational and natural language recommender systems
Cross-domain recommendation
Data characteristics and processing challenges underlying recommender systems
Economic models and consequences of recommender systems
Interfaces for recommender systems
Multi-stakeholder recommendations
New aspects of recommender systems evaluation
Novel approaches to recommendation, including voice, VR/AR, etc.
Preference elicitation
Privacy and security
Socially- and context-aware recommender systems
Systems challenges such as scalability, data quality, and performance
User studies of recommendation applications

Overview

This ranking provides a comprehensive overview of scientific conferences in the field of Computer Science, meticulously curated by Research.com—one of the leading and most trusted resources for science research since 2014. Known for its dedication to delivering reliable and insightful data across all major scientific disciplines, including Computer Science, Research.com upholds the highest standards in evaluating scientific contributions.

The position of each conference within the ranking is determined by a unique bibliometric score developed by Research.com. This score incorporates both the estimated h-index and the number of prominent scientists who have participated in the conference over the preceding three years, ensuring a balanced and nuanced assessment of conference impact and scholarly excellence.

Impact Score values presented in this ranking were collected on 2024-11-27, reflecting the most recent and comprehensive dataset available. The ranking process was grounded in a rigorous approach: over 2,742 conferences were selected following a detailed inspection and critical review of more than 148,739 scientific documents. These publications represent the work of 13,184 leading and highly respected scientists within the field of Computer Science, affirming the authority and credibility of the resulting classification.

For a detailed explanation of the methodology applied in computing the ranking scores, please visit 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 Conference on Recommender Systems (based on the number of publications) are:

  • Francesco Ricci (36 papers) published 3 papers at the last edition, 2 more than at the previous edition,
  • Pasquale Lops (28 papers) published 2 papers at the last edition, 1 less than at the previous edition,
  • Paolo Cremonesi (27 papers) published 3 papers at the last edition, 3 less than at the previous edition,
  • Dietmar Jannach (27 papers) published 2 papers at the last edition, 3 less than at the previous edition,
  • Bamshad Mobasher (26 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 Conference on Recommender Systems (based on the number of publications) are:

  • University of Minnesota (54 papers) published 5 papers at the last edition, 2 more than at the previous edition,
  • Free University of Bozen-Bolzano (54 papers) published 7 papers at the last edition, 1 more than at the previous edition,
  • Autonomous University of Madrid (42 papers) published 5 papers at the last edition, 1 less than at the previous edition,
  • DePaul University (41 papers) published 2 papers at the last edition, 4 less than at the previous edition,
  • Polytechnic University of Milan (40 papers) published 5 papers at the last edition, 6 less 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 2018 edition, 11.17% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 23.27% were posted by at least one author from the top 10 institutions publishing at the conference. Another 11.32% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.98% of all publications and 48.43% 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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