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IEEE

2027 IEEE Statistical Signal Processing Workshop (SSP 2027) (SSP)

Location: Centre de Congrès Impérial, Annecy , France

Submission deadline: 2/7/2027

Conference dates: 6/28/2027 - 7/1/2027

Research H-index
10

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Electronics and Electrical Engineering 124 59 72 10
Mathematics 15 3 4 2

Call for Papers

SSP 2027, the IEEE Statistical Signal Processing Workshop, is a flagship workshop of the IEEE Signal Processing Society, sponsored by its Signal Processing Theory and Methods Technical Committee. Contributions are invited on detection and estimation theory, statistical learning and inference, Bayesian methods, sparse and low-rank models, graph signal processing, array processing and localization, adaptive and distributed signal processing, information theory, time-series analysis, and applications in communications, radar, biomedicine and data science. The four-day programme opens with tutorials and continues with plenary talks and poster and oral sessions.

Overview

The ranking presented on this page offers a comprehensive evaluation of scientific conferences within the field of Engineering and Technology. Developed by Research.com, a leading platform recognized for its contribution to advancing science research across all major disciplines, this ranking is designed to deliver trusted, data-driven insights to academics and professionals. Since 2014, Research.com has become a reputable source for reliable data on scientific excellence, leveraging its experience and expertise to inform the global research community.

Conference positions in this ranking are determined using a unique bibliometric score, meticulously created by Research.com. This score integrates the estimated h-index of conferences and the number of leading scientists who have contributed to or appeared at these events over the past three years. Such a method ensures a multifaceted evaluation, reflecting both the influence and the scholarly participation that characterize high-impact conferences.

The Impact Score values reported here were collected on 2024-11-27, following an extensive assessment process. The selection involved the examination of more than 2,262 conferences, which were included after detailed inspection and rigorous analysis of over 26,934 scientific documents published in the last three years. This thorough scrutiny was carried out by 9,385 leading and highly respected scientists active in Engineering and Technology, ensuring that only conferences demonstrating exceptional academic value were featured.

For readers interested in the detailed methodology underlying the computation of these ranking scores, further information is available on our Methodology Page. This resource provides an in-depth explanation of the expert-driven processes and quantitative approaches used in creating this authoritative ranking.

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 Signal Processing Workshop on Statistical Signal Processing (based on the number of publications) are:

  • Rodrigo C. de Lamare (15 papers) published 9 papers at the last edition, 6 more than at the previous edition,
  • Abdelhak M. Zoubir (15 papers) absent at the last edition,
  • Raviv Raich (15 papers) absent at the last edition,
  • Jean-Yves Tourneret (13 papers) absent at the last edition,
  • Petar M. Djuric (13 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 IEEE Signal Processing Workshop on Statistical Signal Processing (based on the number of publications) are:

  • Centre national de la recherche scientifique (31 papers) published 3 papers at the last edition, 3 less than at the previous edition,
  • University of Michigan (31 papers) absent at the last edition,
  • University of Illinois at Urbana–Champaign (27 papers) published 2 papers at the last edition,
  • Massachusetts Institute of Technology (26 papers) published 1 paper at the last edition, 5 less than at the previous edition,
  • University of Toulouse (24 papers) published 3 papers at the last edition, 1 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 2021 edition, 0.83% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 9.17% were posted by at least one author from the top 10 institutions publishing at the conference. Another 21.67% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 17.50% of all publications and 51.67% 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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