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IEEE/ACM

ACM/IEEE Joint Conference on Digital Libraries (JCDL)

Location: Cologne , Germany

Submission deadline: 1/23/2022

Conference dates: 6/20/2022 - 6/24/2022

Research H-index
17

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 162 43 106 17

Call for Papers

Topics of interest, as they relate to digital libraries, include, but are not limited to:

Users and Interactions

• Collaborative and participatory information environments
• Crowdsourcing and human computation
• Human-information Interaction
• Information visualization
• Social networks, virtual organizations and networked information
• Social media, community building, and applications
• User behavior and modeling

Search and Recommendation

• AI / Machine Learning/ Data mining for DLs
• Dataset retrieval
• Information and knowledge systems
• Information retrieval
• Knowledge discovery
• Natural language processing
• Navigational and exploratory search
• Personalization and contextualization

Digital Libraries in Practice

• Digital archiving and preservation
• Digital humanities and heritage
• Knowledge organization systems in practice
• Personal digital information management
• Performance evaluation
• Policy and law
• Privacy and Intellectual property
• Scientific data management

Content and Structures
• Data curation and stewardship
• Document genres
• Extracting semantics, entities, and patterns from large collections
• Infrastructure and service design
• Linked data and its applications
• Research data management
• Web and network science

Overview

This ranking presents a comprehensive evaluation of scientific conferences in the field of Computer Science, meticulously compiled by Research.com—one of the leading online platforms for science research since 2014. Renowned for providing trusted data on scientific contributions across all major disciplines, including Computer Science, Research.com is recognized for its commitment to accuracy and scholarly integrity.

The position of each conference within the ranking is determined using a proprietary bibliometric score, uniquely developed by Research.com. This score incorporates both the estimated h-index and the number of leading scientists who have presented at each conference over the past three years, thus offering a robust assessment of both academic impact and the presence of top experts.

The ranking is based on the most recent Impact Score values, collected as of 2024-11-27. The evaluation process encompassed a thorough analysis of more than 2,742 conferences, rigorously selected following the detailed examination of over 148,739 scientific documents published during the last three years. Contributions from 13,184 leading and highly respected scientists in the field of Computer Science were scrutinized to ensure that only conferences demonstrating sustained excellence and influence are included.

For those seeking further insight into the rigorous methodology employed in compiling these rankings, additional information can be found 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 ACM/IEEE Joint Conference on Digital Libraries (based on the number of publications) are:

  • Michael L. Nelson (39 papers) published 1 paper at the last edition, 3 less than at the previous edition,
  • Edward A. Fox (36 papers) published 4 papers at the last edition,
  • C. Lee Giles (27 papers) absent at the last edition,
  • David Bainbridge (27 papers) published 2 papers at the last edition, 3 less than at the previous edition,
  • J. Stephen Downie (26 papers) published 1 paper at the last edition, 6 less than 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.

Only papers with recognized affiliations are considered

The top affiliations publishing at ACM/IEEE Joint Conference on Digital Libraries (based on the number of publications) are:

  • University of Illinois at Urbana–Champaign (57 papers) published 5 papers at the last edition, 4 less than at the previous edition,
  • Old Dominion University (49 papers) published 6 papers at the last edition, 1 more than at the previous edition,
  • Virginia Tech (48 papers) published 6 papers at the last edition, 3 more than at the previous edition,
  • University of Waikato (44 papers) published 3 papers at the last edition, 2 less than at the previous edition,
  • Texas A&M University (38 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 2020 edition, 1.47% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 35.07% were posted by at least one author from the top 10 institutions publishing at the conference. Another 14.18% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 12.69% of all publications and 38.06% 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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