World's Best Scientists 2026 revealed!
ACM

ACM International WSDM Conference (WSDM)

Location: Singapore , Singapore

Submission deadline: 8/12/2022

Conference dates: 2/27/2023 - 3/3/2023

Research H-index
52

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 25 303 449 52

Call for Papers

WSDM proceedings are published in the ACM Digital Library. We invite papers in the areas below, with example topics listed for each area.

Web Search

Algorithms for web-scale search; Adversarial search; Search user interfaces and interaction; Distributed search, metasearch, peer-to-peer search; Local and mobile search; Multimedia web search, crosslingual search; Query analysis and query processing; Search benchmarking and evaluation; Search user behavior and log analysis; Search with Foundation Models

Web Mining and Content Analysis

Crawling and indexing web content; Web recommender systems and algorithms; Clustering, classification, and summarization of web data; Data, entity, event, and relationship extraction; Knowledge acquisition and automatic construction of knowledge bases; Large-scale graph analysis; Semantic search, faceted search, and knowledge graphs; Multimodal data mining; Scalable algorithms for mining web data; Opinion mining and sentiment analysis; Web traffic and log analysis; Web measurements, web evolution, and web models.

Web of Things, Ubiquitous and Mobile Computing

Geo-location data analysis; Mobility and behavior data mining; Location-based social networks; User activity modeling and exploitation.

Privacy, Fairness, Interpretability

Fairness and accountability in ranking, recommendations and advertising; Explainability in web systems; Model and algorithm transparency; Interpretable models of individual and social behavior; Web search and data mining under privacy constraints.

Social Networks

Link prediction and community detection; Social network analysis and graph algorithms; Computational social science; Influence and viral marketing in social networks; Social sensing; Searching social and real-time content; Social network dynamics; Sampling, experiments, and evaluation in social networks; Social media analysis: blogs and friendship networks; Social network analysis, theories, models and applications; Social reputation and trust.

Intelligent Assistants

Voice search, conversational search, and dialog systems; Personal assistants, dialogue models, and conversational interaction; Task-driven search; Zero-query and implicit search.

Crowdsourcing and Human Computation

Collaborative search and question answering; Human-in-the-Loop and Collaborative Human-AI systems.

Emerging Applications

Monitoring and prevention of epidemics; Mental health and well-being support systems; Systems and algorithms for urban applications; Online education systems; Web Mining for Social Good.

Information Integrity

Systems and algorithms for monitoring and detection of misinformation and fake news; Prevalence and virality of misinformation; Misinformation sources and origins; Source and content credibility; Detecting and combating spamming, trolling, aggression, and toxic online behaviors; Methods for detecting and mitigating low quality and offensive content, bullying and hate speech; Polarization, Extremism and Radicalization; Echo chambers and Filter bubbles.

Overview

The ranking presented on this page provides a comprehensive evaluation of scientific conferences within the field of Computer Science. This ranking has been meticulously curated by Research.com, a leading authority in the aggregation and analysis of scientific research across all major disciplines since 2014, consistently offering trusted data on scientific contributions, including in Computer Science.

Conference positions in this ranking are determined using a proprietary bibliometric score, uniquely developed by Research.com. This score is calculated through an advanced methodology that incorporates both the estimated h-index and the number of leading scientists participating in the respective conference during the preceding three years. This dual-criterion approach ensures a more nuanced and accurate reflection of a conference's impact and reputation within the scientific community.

Impact Score values utilized in the current edition of the ranking were collected as of 2024-11-27, ensuring the most up-to-date and relevant assessment of conference influence. The rigorous process for compiling this ranking entailed the examination of over 2,742 conferences, which were specifically selected following an exhaustive review of more than 148,739 scientific documents published in the past three years. These publications were authored by 13,184 prominent and highly respected scientists specializing in Computer Science. Such a comprehensive analysis underscores the depth of research and the commitment to impartiality that define this ranking.

For those interested in a detailed overview of the methodology used in computing these ranking scores, further information is available on 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 Web Search and Data Mining (based on the number of publications) are:

  • Maarten de Rijke (23 papers) published 3 papers at the last edition, 2 more than at the previous edition,
  • Huan Liu (22 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • Yi Chang (17 papers) published 1 paper at the last edition,
  • Jiawei Han (17 papers) published 2 papers at the last edition the same number as at the previous edition,
  • Jure Leskovec (16 papers) published 1 paper 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 Web Search and Data Mining (based on the number of publications) are:

  • Microsoft (197 papers) published 9 papers at the last edition, 1 more than at the previous edition,
  • Yahoo! (132 papers) published 3 papers at the last edition, 2 more than at the previous edition,
  • Google (87 papers) published 11 papers at the last edition, 5 more than at the previous edition,
  • Tsinghua University (52 papers) published 4 papers at the last edition, 2 less than at the previous edition,
  • Carnegie Mellon University (42 papers) published 1 paper at the last edition, 1 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 2021 edition, 6.06% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 29.03% were posted by at least one author from the top 10 institutions publishing at the conference. Another 20.65% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 19.35% of all publications and 30.97% 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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