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Springer

European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD)

Location: Grenoble , France

Submission deadline: 3/30/2022

Conference dates: 9/19/2022 - 9/23/2022

Research H-index
12

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 284 49 41 12

Call for Papers

We invite submissions for the journal track of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) 2022. The journal track of the conference is implemented in partnership with the Machine Learning Journal and the Data Mining and Knowledge Discovery Journal. The conference provides an international forum for the discussion of the latest high-quality research results in all areas related to machine learning, data mining, and knowledge discovery.

Overview

This ranking provides a comprehensive evaluation of scientific conferences within the field of Computer Science, meticulously curated and analyzed by Research.com—one of the leading platforms for science research, offering trusted scientific data across all major fields, including Computer Science, since 2014.

The rankings are determined using a unique and robust bibliometric score developed exclusively by Research.com. This score is computed based on a sophisticated combination of the estimated h-index and the number of leading scientists who have contributed to each conference within the preceding three years. The Impact Score values presented herein were collected as of 2024-11-27, ensuring the most current and relevant data.

The ranking process is the result of an extensive and thorough analysis. Experts at Research.com systematically examined more than 2,742 conferences, each carefully selected following a detailed inspection and rigorous evaluation of over 148,739 scientific documents published over the last three years. These contributions stem from an impressive cohort of 13,184 leading and well-respected scientists specializing in Computer Science.

To ensure the highest level of transparency and credibility, the complete methodology for computing the ranking scores is openly available. Interested readers are encouraged to review the in-depth procedures and data considerations employed by visiting the 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 European Conference on Principles of Data Mining and Knowledge Discovery (based on the number of publications) are:

  • Jesse Davis (2 papers) published 2 papers at the last edition,
  • Jan Ramon (2 papers) published 2 papers at the last edition,
  • Jan Van Haaren (1 papers) published 1 paper at the last edition,
  • Joris Duguépéroux (1 papers) published 1 paper at the last edition,
  • Jean-François Boulicaut (1 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 European Conference on Principles of Data Mining and Knowledge Discovery (based on the number of publications) are:

  • Katholieke Universiteit Leuven (5 papers) published 4 papers at the last edition, 3 more than at the previous edition,
  • Federal University of Ceará (1 papers) published 1 paper at the last edition,
  • University of Auvergne (1 papers) published 1 paper at the last edition,
  • Stanford University (1 papers) published 1 paper at the last edition,
  • University of Bari (1 papers) published 1 paper 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 2017 edition, 15.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 58.82% were posted by at least one author from the top 10 institutions publishing at the conference. Another 29.41% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 11.76% of all publications and 0.00% 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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