The 30th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN)

The conference ranking presented on this page offers a comprehensive evaluation of scientific conferences within the field of Engineering and Technology. This ranking has been meticulously prepared by Research.com, a leading authority in scientific research data since 2014, recognized for delivering dependable insights across all major research fields, including Engineering and Technology.

The ranking positions are determined according to a proprietary bibliometric score developed by Research.com. This unique score is calculated based on two key metrics: the estimated h-index and the number of leading scientists who have participated in each conference over the preceding three years. The multi-faceted approach ensures an accurate and nuanced assessment of conference influence and scientific contribution.

Impact Score values featured in this ranking were collected as of 2024-11-27, providing the most current and relevant assessment available. The ranking methodology entailed a thorough analysis process, which began with the examination of over 2,262 conferences. These conferences were carefully selected following an in-depth review and critical evaluation of more than 26,934 scientific documents published over the last three years. The assessment incorporated contributions from 9,385 distinguished and widely respected scientists active in Engineering and Technology.

The result is a rigorously constructed ranking that highlights the conferences making the most significant impact in the field. For those interested in a detailed exploration of our methodology for calculating ranking scores, 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.

Top authors and change over time

The top authors publishing at The European Symposium on Artificial Neural Networks (based on the number of publications) are:

• Barbara Hammer (12 papers) published 2 papers at the last edition, 2 less than at the previous edition,
• Michel Verleysen (11 papers) absent at the last edition,
• Michael Biehl (10 papers) published 2 papers at the last edition the same number as at the previous edition,
• Thomas Villmann (9 papers) published 1 paper at the last edition, 4 less than at the previous edition,
• Amaury Lendasse (7 papers) published 1 paper at the last edition, 2 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.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing at The European Symposium on Artificial Neural Networks (based on the number of publications) are:

• Université catholique de Louvain (18 papers) published 3 papers at the last edition, 2 less than at the previous edition,
• Bielefeld University (15 papers) published 3 papers at the last edition, 7 less than at the previous edition,
• Katholieke Universiteit Leuven (11 papers) published 4 papers at the last edition, 2 more than at the previous edition,
• Leipzig University (10 papers) published 1 paper at the last edition, 5 less than at the previous edition,
• Ghent University (9 papers) published 1 paper at the last edition, 2 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 2017 edition, 9.80% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 25.00% were posted by at least one author from the top 10 institutions publishing at the conference. Another 17.39% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 19.57% of all publications and 38.04% 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.