2026 IEEE 27th Workshop on Control and Modeling for Power Electronics (COMPEL 2026) (COMPEL)

The scientific conference ranking presented on this page showcases a comprehensive evaluation of conferences within the field of Engineering and Technology. This ranking has been developed by Research.com, a leading platform renowned for providing trusted data on scientific contributions across all major fields of science, including Engineering and Technology, since 2014.

Each conference's position in the ranking is determined by a unique bibliometric score devised by Research.com. This bibliometric score incorporates both the estimated h-index and the number of leading scientists actively participating or contributing to each conference over the past three years, thus ensuring a multidimensional assessment of conference impact and scientific relevance.

The data underpinning the Impact Score values were collected as of 2024-11-27. The rigorous ranking process involved an initial examination of more than 2,262 conferences, which were selected after a detailed inspection and assessment of over 26,934 scientific documents published in the last three years. These documents represent the work of 9,385 leading and highly respected scientists within the domain of Engineering and Technology. This thorough and robust methodology underscores the credibility and precision of our ranking system.

For a comprehensive overview of the methodology used in computing the ranking scores, including detailed explanations of bibliometric indicators and selection criteria, 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 Workshop on Control and Modeling for Power Electronics (based on the number of publications) are:

• Dragan Maksimovic (31 papers) published 3 papers at the last edition, 1 more than at the previous edition,
• Toshiji Kato (22 papers) published 2 papers at the last edition, 1 more than at the previous edition,
• Jian Sun (21 papers) published 3 papers at the last edition, 2 more than at the previous edition,
• Regan Zane (20 papers) published 4 papers at the last edition, 2 more than at the previous edition,
• Charles R. Sullivan (18 papers) published 6 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.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing at Workshop on Control and Modeling for Power Electronics (based on the number of publications) are:

• University of Colorado Boulder (48 papers) published 8 papers at the last edition, 3 more than at the previous edition,
• University of Illinois at Urbana–Champaign (28 papers) published 3 papers at the last edition the same number as at the previous edition,
• Dartmouth College (27 papers) published 8 papers at the last edition, 6 more than at the previous edition,
• Norwegian University of Science and Technology (26 papers) published 7 papers at the last edition, 7 less than at the previous edition,
• Doshisha University (23 papers) published 2 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 2017 edition, 1.41% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 29.29% were posted by at least one author from the top 10 institutions publishing at the conference. Another 21.43% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 22.14% of all publications and 27.14% 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.