31st European Signal Processing Conference

Top Research Topics at European Signal Processing Conference?

• Artificial intelligence (33.60%)
• Algorithm (29.89%)
• Pattern recognition (17.68%)

The conference is mainly concerned with subjects like Artificial intelligence, Algorithm, Pattern recognition, Speech recognition and Computer vision. The Artificial intelligence study featured in it draws connections with the study of Machine learning. Topics in Algorithm were tackled in line with various other fields like Control theory, Communication channel, Mathematical optimization and Signal, Signal processing.

It is mostly focused on Control theory, specifically Adaptive filter. Communication channel research discussed connects with the study of Electronic engineering. The conference connects research in Speech recognition with the related topic of Noise measurement.

Image processing and Image (mathematics) studies are all carried out as a component of the study in Computer vision presented.

What are the most cited papers published at the conference?

• Multimodal biometrics: An overview (583 citations)
• Simulating the Long Term Evolution physical layer (427 citations)
• Video denoising by sparse 3D transform-domain collaborative filtering (355 citations)

Research areas of the most cited articles at European Signal Processing Conference:

The most cited publications mainly tackle studies in Artificial intelligence, Speech recognition, Algorithm, Pattern recognition and Computer vision. The research on Artificial intelligence discussed in the conference papers draws on the closely related field of Machine learning. The most cited articles facilitate discussions on Algorithm that incorporate concepts from other fields like Matrix (mathematics), Mathematical optimization, Control theory and Signal processing.

What topics the last edition of the conference is best known for?

• Artificial intelligence
• Statistics
• Quantum mechanics

The previous edition focused in particular on these issues:

The main research concerns discussed in the conference are Artificial intelligence, Algorithm, Signal processing, Pattern recognition and Artificial neural network. Topics in Artificial intelligence explored in it were investigated in conjunction with research in Machine learning and Computer vision. The studies on Algorithm discussed can also contribute to research in the domains of Signal-to-noise ratio, Signal, Matrix (mathematics) and Filter (signal processing).

The event addresses concerns in Signal processing which are intertwined with other disciplines, such as Speech recognition, Speech processing, Robustness (computer science) and Noise measurement. The Speech recognition study tackled is a key component of adjacent topics in the area of Speech enhancement. Feature (computer vision) and Electroencephalography are some topics wherein Pattern recognition research discussed in the event have an impact.

The most cited articles from the last conference are:

• A GAN-Based Image Transformation Scheme for Privacy-Preserving Deep Neural Networks (12 citations)
• A Fixed Point Framework for Recovering Signals from Nonlinear Transformations (9 citations)
• The Modulo Radon Transform and its Inversion (8 citations)

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 European Signal Processing Conference (based on the number of publications) are:

• Marc Moonen (93 papers) published 3 papers at the last edition,
• Patrick A. Naylor (67 papers) published 4 papers at the last edition,
• Andreas Jakobsson (55 papers) published 2 papers at the last edition,
• Ioannis Pitas (53 papers) published 1 paper at the last edition,
• Aggelos K. Katsaggelos (53 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.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing at European Signal Processing Conference (based on the number of publications) are:

• Centre national de la recherche scientifique (301 papers) published 16 papers at the last edition,
• Tampere University of Technology (275 papers) published 3 papers at the last edition,
• Katholieke Universiteit Leuven (175 papers) published 12 papers at the last edition,
• École Polytechnique Fédérale de Lausanne (167 papers) published 4 papers at the last edition,
• Imperial College London (130 papers) published 12 papers 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 2021 edition, 5.75% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 12.60% were posted by at least one author from the top 10 institutions publishing at the conference. Another 7.52% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 13.01% of all publications and 66.87% 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.