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ACM

31st ACM International Conference on Information and Knowledge Management - CIKM2022 (CIKM)

Location: Atlanta , United States

Submission deadline: 5/12/2022

Conference dates: 10/17/2022 - 10/22/2022

Research H-index
61

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 23 679 1322 61

Call for Papers

The Conference on Information and Knowledge Management (CIKM) provides a unique venue for industry and academia to present and discuss state-of-the-art research on artificial intelligence, search and discovery, data mining, and database systems, all at a single conference. CIKM is uniquely situated to highlight technologies and insights that materialize the big-data and artificial-intelligence vision of the future. CIKM 2022 will be held between Oct 17-22, 2022, in Atlanta, Georgia, USA. Currently, we are planning a hybrid event, with both in-person and online interactive events.

Key Dates
All deadlines are at 11:59pm in the Anywhere on Earth timezone.

Full Papers Abstract Deadline: 12 May 2022
Full Papers Final Deadline: 19 May 2022
Papers Notifications: 1 August 2022
Camera Ready Deadline: 15 Aug 2022

Topics of Interest

We encourage submissions of high-quality research papers on all topics in the general areas of artificial intelligence, data science, databases, information retrieval, and knowledge management. Topics of interest include, but are not limited to, the following areas:

Data and information acquisition and preprocessing (e.g., data crawling, IoT data, data quality, data privacy, mitigating biases, data wrangling)
Integration and aggregation (e.g., semantic processing, data provenance, data linkage, data fusion, knowledge graphs, data warehousing, privacy and security, modeling, information credibility)
Efficient data processing (e.g., serverless, data-intensive computing, database systems, indexing and compression, architectures, distributed data systems, dataspaces, customized hardware)
Special data processing (e.g., multilingual text, sequential, stream, spatio-temporal, (knowledge) graphs, multimedia, scientific, and social media data)
Analytics and machine learning (e.g., OLAP, data mining, machine learning and AI, scalable analysis algorithms, algorithmic biases, event detection and tracking, understanding, interpretability)
Neural Information and knowledge processing (e.g., graph neural networks, domain adaptation, transfer learning, network architectures, neural ranking, neural recommendation, and neural prediction)
Information access and retrieval (e.g., ad hoc and web search, facets and entities, question answering and dialogue systems, retrieval models, query processing, personalization, recommender and filtering systems)
Users and interfaces for information and data systems (e.g., user behavior analysis, user interface design, perception of biases, personalization, interactive information retrieval, interactive analysis, spoken interfaces)
Evaluation, performance studies, and benchmarks (e.g., online and offline evaluation, best practices)
Crowdsourcing (e.g. task assignment, worker reliability, optimization, trustworthiness, transparency, best practices)
Understanding multi-modal content (e.g., natural language processing, speech recognition, computer vision, content understanding, knowledge extraction, knowledge graphs, and knowledge representations)
Data presentation (e.g., visualization, summarization, readability, VR, speech input/output)
Applications (e.g., urban systems, biomedical and health informatics, legal informatics, crisis informatics, computational social science, data-enabled discovery, social media)
Paper Submissions
Authors are invited to submit original full-length research papers that are not previously published, accepted to be published, or being considered for publication in any other forum. Full-length papers should satisfy the standard requirements of top-tier international research conferences.

Manuscripts should be submitted to the CIKM-22 Easychair site in PDF format, using the ACM sigconf template, see https://www.acm.org/publications/proceedings-template. Full papers cannot exceed 9 pages plus unlimited references. Rejected full papers will not be considered for publication as short papers. Paper review will be double blind, and those submissions that have not been properly anonymized will be desk-rejected without review. At least one author of each accepted paper must register to present the work as scheduled in the conference program, which may include both oral presentations and poster sessions. Additional details for running the online conference will be published on the website shown above.

Dual Submission Policy
It is not allowed to submit papers that are identical (or substantially similar) to versions that have been previously published, or accepted for publication, or that have been submitted in parallel to other conferences (or any venue with published proceedings). Such submissions violate our dual-submission policy. There are several exceptions to this rule:

Submission is permitted for papers presented or to be presented at conferences or workshops without proceedings, or with only abstracts published.
Submission is permitted for papers that have previously been made available as a technical report or similar, e.g., in arXiv. In this case, the authors should not cite the report, so as to preserve anonymity.
ACM Policy Against Discrimination
All authors and participants must adhere the the ACM discrimination policy. For full details, please visit this site:

https://www.acm.org/special-interest-groups/volunteer-resources/officers-manual/policy-against-discrimination-and-harassment

As a published ACM author, you and your co-authors are subject to all ACM Publications Policies https://www.acm.org/publications/policies, including ACM's new Publications Policy on Research Involving Human Participants and Subjects https://www.acm.org/publications/policies/research-involving-human-participants-and-subjects

Overview

The conference ranking presented on this page highlights leading scientific conferences in the field of Computer Science. This authoritative ranking has been developed by Research.com—one of the premier platforms for science research insights across all major fields, including Computer Science. Since 2014, Research.com has been a trusted provider of reliable data on scientific contributions and impact.

Each conference’s position in the ranking is determined by a unique bibliometric score formulated by Research.com. This sophisticated score integrates two key indicators: the estimated h-index and the number of leading scientists who have contributed to the conference over the past three years. These scores reflect both the historical impact and the caliber of recent contributors, offering a comprehensive assessment of each conference’s significance in the domain.

The ranking showcases Impact Score values that were collected on 2024-11-27. In constructing this ranking, our experts conducted an extensive evaluation process, beginning with an analysis of over 2,742 conferences meticulously selected following a rigorous assessment. This selection was based on a thorough review of more than 148,739 scientific documents published by 13,184 leading and highly respected scientists in Computer Science over the last three years.

For a complete overview of the methodology employed, including data sources, metric computations, and evaluation criteria, 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 Conference on Information and Knowledge Management (based on the number of publications) are:

  • Philip S. Yu (62 papers) absent at the last edition,
  • ChengXiang Zhai (55 papers) absent at the last edition,
  • W. Bruce Croft (55 papers) absent at the last edition,
  • Maarten de Rijke (47 papers) absent at the last edition,
  • Jiawei Han (41 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 Information and Knowledge Management (based on the number of publications) are:

  • Microsoft (357 papers) published 2 papers at the last edition, 13 less than at the previous edition,
  • IBM (320 papers) absent at the last edition,
  • Yahoo! (249 papers) absent at the last edition,
  • Tsinghua University (181 papers) absent at the last edition,
  • Chinese Academy of Sciences (176 papers) absent at the last 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, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 40.00% were posted by at least one author from the top 10 institutions publishing at the conference. Another 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 20.00% of all publications and 40.00% 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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