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IEEE

2019 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)

Location: Guadalupe , Mexico

Submission deadline: 7/19/2019

Conference dates: 12/15/2019 - 12/18/2019

Research H-index
3

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Electronics and Electrical Engineering 584 29 39 3

Call for Papers

TOPICS OF INTEREST:
• Array processing, waveform diversity, space-time adaptive processing
• Convex optimization and relaxation
• Computational linear & multi-linear algebra
• Computer-intensive methods in signal processing (bootstrap, MCMC, EM, particle filtering, etc.)
• Signal and information processing over networks
• Sparse signal processing
• Tensor and graph signal processing

Overview

The scientific conference ranking featured on this page presents a comprehensive evaluation of events within the field of Engineering and Technology. Developed by Research.com, a distinguished authority in science research analytics across all major disciplines, this ranking leverages trusted data on scientific contributions accumulated since 2014.

Each conference’s position in the ranking is determined using a unique bibliometric score, meticulously devised by Research.com, which integrates both the estimated h-index and the number of preeminent scientists who have contributed to the conference over the prior three years. This methodology ensures that only conferences demonstrating sustained influence and significant scholarly engagement are highlighted.

The ranking includes the most current Impact Score values, which were collated as of 2024-11-27. The evaluation process involved a thorough review of more than 2,262 conferences, each selected after a detailed and systematic assessment. This rigorous process included the analysis of over 26,934 scientific publications produced within the last three years by 9,385 leading and widely recognized researchers in Engineering and Technology.

This ranking stands as a testament to the intricate research, expert analysis, and methodological rigor that underpin every stage of its development. For comprehensive information regarding the methodology used to calculate the ranking scores, please visit 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 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (based on the number of publications) are:

  • Georgios B. Giannakis (25 papers) published 3 papers at the last edition, 1 less than at the previous edition,
  • Geert Leus (21 papers) published 2 papers at the last edition, 2 less than at the previous edition,
  • Martin Haardt (18 papers) published 3 papers at the last edition, 2 less than at the previous edition,
  • Arye Nehorai (18 papers) absent at the last edition,
  • Sergiy A. Vorobyov (16 papers) published 2 papers at the last edition, 1 more 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 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (based on the number of publications) are:

  • University of Minnesota (42 papers) published 3 papers at the last edition, 7 less than at the previous edition,
  • Technische Universität Darmstadt (26 papers) published 7 papers at the last edition, 4 more than at the previous edition,
  • University of Toulouse (25 papers) published 7 papers at the last edition, 1 more than at the previous edition,
  • Delft University of Technology (24 papers) published 2 papers at the last edition, 3 less than at the previous edition,
  • Washington University in St. Louis (21 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 2019 edition, 3.55% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 25.00% were posted by at least one author from the top 10 institutions publishing at the conference. Another 11.76% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 24.26% of all publications and 38.97% 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.

Related Online Degrees & Career Pathways

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Flexibility in enrollment is also a key factor for working professionals and students with busy schedules. Choosing online schools with multiple start dates allows learners to begin their studies at convenient times, accelerating their path to graduation.

For those aiming to advance into leadership or educational roles within engineering, pursuing advanced credentials through accredited eds to edd programs can be a strategic choice. These programs offer robust online formats to enhance expertise and qualifications.

Additionally, several institutions offer accelerated degree program options, enabling students to complete their electrical engineering degrees faster without compromising depth of knowledge.

By leveraging these online educational pathways, aspiring engineers can efficiently tailor their learning to fit personal goals and career demands in the dynamic field of Electronics and Electrical Engineering.

Best Scientists who published in this Conference

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