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Springer

Learning and Intelligent Optimization Conference (LION)

Location: Nice , France

Conference dates: 6/4/2023 - 6/8/2023

Research H-index
3

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 913 6 5 3

Call for Papers

The central theme of this conference is ML to OR pipelines. When integrating multiple data science pipelines, significant challenges arise, especially when considering predictive and prescriptive analytics. Central challenges here include loss functions for training ML models that will be used downstream by optimization approaches and actively taking uncertainty into account in optimization models. This joins with classic LION themes, such as determining appropriate optimization methods through expensive algorithm configuration and parameter tuning , implementing intelligent learning schemes for learning from past algorithm behavior to improve performance in the future, hybridizing different algorithms (evolutionary, etc.) to achieve robust and effective performance, and so on.

Overview

This ranking presents a comprehensive list of scientific conferences in the field of Computer Science, meticulously curated to reflect the most impactful and influential gatherings for researchers and practitioners worldwide. The ranking has been developed by Research.com, a leading authority in science research data since 2014, widely recognized for its trusted analytics across all major scientific disciplines, including Computer Science.

Conference positions in this ranking are determined by a proprietary bibliometric score uniquely designed by Research.com. This score is calculated using a combination of the estimated h-index and the number of distinguished scientists who have presented at each conference over the past three years. Such a rigorous approach ensures that the ranking accurately captures both the scholarly impact and the prominence of contributors within the Computer Science community.

Impact Score values featured in this listing were gathered as of 2024-11-27. The ranking process involved the detailed examination of over 2,742 conferences, which were selected following in-depth review and thorough analysis of more than 148,739 scientific documents published during the last three years by 13,184 leading and well-respected scientists in the field of Computer Science. This extensive vetting underscores the reliability and relevance of the included conferences.

To maintain the highest academic standards, the methodology integrates both quantitative metrics and qualitative expert input, ensuring that the resulting ranking is robust, transparent, and reflective of contemporary research excellence. For an in-depth explanation of the computational procedures and criteria utilized in forming the bibliometric 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.

The top authors publishing at Learning and Intelligent Optimization (based on the number of publications) are:

  • Laetitia Jourdan (6 papers) published 2 papers at the last edition, 1 less than at the previous edition,
  • Holger H. Hoos (6 papers) published 3 papers at the last edition, 1 more than at the previous edition,
  • Clarisse Dhaenens (5 papers) published 2 papers at the last edition, 1 less than at the previous edition,
  • Sébastien Verel (5 papers) published 1 paper at the last edition, 3 less than at the previous edition,
  • Kevin Leyton-Brown (4 papers) published 1 paper at the last edition, 1 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 Learning and Intelligent Optimization (based on the number of publications) are:

  • French Institute for Research in Computer Science and Automation (9 papers) published 1 paper at the last edition, 3 less than at the previous edition,
  • University of Granada (8 papers) published 4 papers at the last edition, 2 more than at the previous edition,
  • Université libre de Bruxelles (7 papers) published 5 papers at the last edition, 4 more than at the previous edition,
  • University of British Columbia (6 papers) published 3 papers at the last edition, 1 more than at the previous edition,
  • University of Nottingham (5 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 2013 edition, 2.04% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 45.83% were posted by at least one author from the top 10 institutions publishing at the conference. Another 6.25% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.67% of all publications and 31.25% 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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Best Scientists who published in this Conference

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