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International Conference on Model-Driven Engineering and Software Development (MODELSWARD)

Location: Lisbon , Portugal

Submission deadline: 10/10/2022

Conference dates: 2/19/2023 - 2/21/2023

Research H-index
6

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 621 14 17 6

Call for Papers

The purpose of the International Conference on Model-Driven Engineering and Software Development is to provide a platform for researchers, engineers, academics as well as industrial professionals from all over the world to present their research results and development activities in using models and model driven engineering techniques for Software Development. Model-Driven Development (MDD) is an approach to the development of IT systems in which models take a central role, not only for analysis of these systems but also for their construction. MDD has emerged from modelling initiatives, most prominently the Model-Driven Architecture (MDA) fostered by the Object Management Group (OMG). In the scope of MDA, a couple of technologies have been developed that became the cornerstones of MDD, like metamodelling and model transformations. MDD relies on languages for defining metamodels, like the Meta-Object Facility (MOF) and Ecore (developed in the scope of the Eclipse Modelling Framework), and transformation specification languages like QVT and ATL.

Overview

This comprehensive ranking presents a rigorous evaluation of scientific conferences in the field of Computer Science. The ranking has been meticulously prepared by Research.com, recognized as one of the leading websites for science research across all major disciplines, including Computer Science, and providing trusted data on scientific contributions since 2014.

The position of each conference within this ranking is determined by a unique bibliometric score, developed exclusively by Research.com. This score is calculated based on an estimated h-index alongside the number of leading scientists who have participated in the conference during the preceding three years. The Impact Score values presented in this ranking were collected on 2024-11-27, reflecting the most current measure of conference influence and prominence.

The development of this ranking was founded on an extensive and systematic process. Experts at Research.com examined more than 2,742 conferences, each selected following detailed inspection and rigorous analysis. This examination involved a comprehensive review of over 148,739 scientific publications authored within the last three years by 13,184 leading and highly respected scientists in the Computer Science domain.

For a more granular understanding of the methodology employed in computing these ranking scores, further details are available on 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 International Conference on Model-Driven Engineering and Software Development (based on the number of publications) are:

  • Ludovic Apvrille (11 papers) published 5 papers at the last edition, 2 more than at the previous edition,
  • Bernhard Westfechtel (11 papers) published 2 papers at the last edition, 1 less than at the previous edition,
  • Vincent Englebert (11 papers) absent at the last edition,
  • Ricardo Jardim-Goncalves (10 papers) absent at the last edition,
  • Timothy C. Lethbridge (8 papers) published 2 papers 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 International Conference on Model-Driven Engineering and Software Development (based on the number of publications) are:

  • University of Oslo (17 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • University of Bayreuth (14 papers) published 4 papers at the last edition, 1 more than at the previous edition,
  • RWTH Aachen University (12 papers) published 1 paper at the last edition,
  • Université de Namur (10 papers) absent at the last edition,
  • Weizmann Institute of Science (9 papers) published 3 papers at the last edition, 1 more 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 2019 edition, 12.33% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 31.25% were posted by at least one author from the top 10 institutions publishing at the conference. Another 10.94% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 21.88% of all publications and 35.94% 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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