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ACM

European Conference on Object-Oriented Programming (ECOOP)

Location: Berlin , Germany

Submission deadline: 4/1/2022

Conference dates: 6/6/2022 - 6/10/2022

Research H-index
8

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 449 30 38 8

Call for Papers

ECOOP is a conference about programming originally focused on object-orientation, but now including all practical and theoretical investigations of programming languages, systems and environments. ECOOP solicits innovative solutions to real problems as well as evaluations of existing solutions.


Authors are asked to pick one of the following categories:

Research. The most traditional category for papers that advance the state of the art.
Reproduction. An empirical evaluation that reconstructs a published experiment in a different context in order to validate the results of that earlier work.
Experience. Applications of known PL techniques in practice as well as tools. Industry papers will be reviewed by practitioners. We welcome negative results that may provide inspiration for future research.
Pearls/Brave New Ideas. Articles that either explain a known idea in an elegant way or unconventional papers introducing ideas that may take some time to substantiate. These papers may be short.

Overview

The scientific conference ranking presented on this page provides a comprehensive and authoritative assessment of conferences within the field of Computer Science. Developed by Research.com, a leading resource for science research recognized for delivering trusted data on scientific contributions across all major fields since 2014, this ranking serves as a valuable guide for researchers, academics, and professionals seeking to identify prominent venues for the dissemination and discussion of advancements in Computer Science.

The positions within the ranking are determined by a unique bibliometric score specially developed by Research.com. This score is calculated using a robust methodology that takes into account the estimated h-index and the number of leading scientists who have participated in each conference over the past three years. By considering these critical indicators, the ranking delivers an objective and data-driven evaluation, designed to accurately reflect both the scholarly impact and the reputational standing of each conference.

The Impact Score values featured in this ranking were gathered as of 2024-11-27, ensuring that the assessment is both current and relevant. The underlying process was notably extensive: over 2,742 conferences were carefully considered, selected through detailed inspection and rigorous examination of more than 148,739 scientific documents published in the preceding three years. These documents represent the scholarly output of 13,184 leading and well-respected scientists in the area of Computer Science. Such a thorough approach emphasizes the depth of research and the complexity of analysis undertaken by our expert team.

For a comprehensive overview of the methodology employed in computing the 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.

The top authors publishing at European Conference on Object-Oriented Programming (based on the number of publications) are:

  • Jonathan Aldrich (11 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Jan Vitek (10 papers) published 1 paper at the last edition,
  • James Noble (10 papers) absent at the last edition,
  • Wolfgang De Meuter (8 papers) published 2 papers at the last edition, 1 less than at the previous edition,
  • Martin Odersky (8 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 Object-Oriented Programming (based on the number of publications) are:

  • IBM (31 papers) absent at the last edition,
  • Victoria University of Wellington (18 papers) published 3 papers at the last edition, 2 more than at the previous edition,
  • Carnegie Mellon University (16 papers) published 1 paper at the last edition, 2 less than at the previous edition,
  • Purdue University (15 papers) published 2 papers at the last edition,
  • Microsoft (15 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, 18.75% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 30.77% were posted by at least one author from the top 10 institutions publishing at the conference. Another 7.69% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 34.62% of all publications and 26.92% 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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