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Springer

The 25th International Conference on Discovery Science (DS)

Location: Montpellier , France

Submission deadline: 5/30/2022

Conference dates: 10/10/2022 - 10/12/2022

Research H-index
7

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 551 9 10 7

Call for Papers

We invite submissions of research papers addressing all aspects of discovery science: papers that focus on the analysis of different types of massive and complex data, including structured, spatio-temporal and network data. We would also like to encourage contributions from the areas of computational scientific discovery, mining scientific data, computational creativity and discovery informatics.
We particularly welcome papers addressing applications from different domains of science including biomedicine and life sciences, astronomy, physics, chemistry, as well as social sciences. Applications to massive, heterogeneous, continuous or imprecise data sets are of particular interests. Possible topics include, but are not limited to:

Knowledge discovery, machine learning and statistical methods
Ubiquitous Knowledge Discovery
Data Streams, Evolving Data and Models
Change Detection and Model Maintenance
Active Knowledge Discovery
Information extraction from scientific literature
Knowledge discovery from heterogeneous, unstructured and multimedia data
Data and knowledge visualization
Planning to Learn
Knowledge Transfer
Computational Creativity
Human-machine interaction for knowledge discovery and management
Evaluation of models and predictions in discovery setting
Causality modelling
AutoML, meta-learning, planning to learn
Explainable AI, interpretability of machine learning and deep learning models
Learning from complex data
Graphs, networks, linked and relational data
Spatial, temporal and spatiotemporal data
Unstructured data, including textual and web data
Multimedia data
AI frameworks for discovery in scientific domains
Biomedical knowledge discovery, analysis of (multi)omics, micro-array, gene deletion, gene set enrichment data
Machine Learning for High-Performance Computing, Grid and Cloud Computing
Applications of the above techniques in scientific domains, such as
Physical sciences (e.g., materials sciences, particle physics)
Life sciences (e.g., systems biology/systems medicine)
Environmental sciences
Life Sciences
Natural and social sciences

Overview

This comprehensive ranking presents an authoritative list of scientific conferences in the field of Computer Science, meticulously compiled by Research.com—one of the leading websites for science research across all major fields. Since 2014, Research.com has been recognized for delivering trusted data on scientific contributions, making this ranking a credible and respected resource in the academic community.

The position of each conference in this ranking is determined by a unique bibliometric score developed by Research.com. This robust score is calculated using the estimated h-index of the conference as well as the number of leading scientists who have presented at the conference over the last three years. Such an approach ensures a multifaceted assessment of each conference’s scientific impact and ongoing relevance within the Computer Science domain.

The ranking incorporates up-to-date Impact Score values, with data collected as of 2024-11-27, ensuring that the assessments reflect the most current trends and contributions in the field. The selection process for inclusion in the ranking was rigorous, involving the examination of over 2,742 conferences. These conferences were chosen after thorough evaluation and analysis of more than 148,739 scientific documents published in the last three years by 13,184 established and respected computer scientists. This exhaustive approach highlights the depth and breadth of the research underpinning the ranking’s creation.

For further insight into the methodology and detailed explanation of how ranking scores are computed, 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 Discovery Science (based on the number of publications) are:

  • Sašo Džeroski (11 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • Nada Lavrač (8 papers) published 1 paper at the last edition,
  • Donato Malerba (8 papers) absent at the last edition,
  • Hiroshi Motoda (7 papers) absent at the last edition,
  • Kazumi Saito (7 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 Discovery Science (based on the number of publications) are:

  • University of Porto (13 papers) published 4 papers at the last edition, 3 more than at the previous edition,
  • University of Bari (11 papers) published 2 papers at the last edition, 1 less than at the previous edition,
  • Kyushu University (10 papers) absent at the last edition,
  • Hokkaido University (9 papers) absent at the last edition,
  • Aalto University (9 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 2018 edition, 72.95% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 27.27% were posted by at least one author from the top 10 institutions publishing at the conference. Another 9.09% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 27.27% of all publications and 36.36% 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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