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IEEE

Asilomar Conference on Signals, Systems, and Computers (ASILOMAR)

Location: Pacific Grove, , United States

Submission deadline: 4/29/2022

Conference dates: 10/30/2022 - 11/2/2022

Research H-index
19

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Electronics and Electrical Engineering 48 225 601 16
Computer Science 165 255 546 16

Call for Papers

Authors are invited to submit papers in the following areas:
A. Communications Systems: 1. Modulation and Coding,
2. Cognitive Radios and Spectrum Sharing, 3. Ultra-Low Latency,
4. Optimization, 5. Physical Layer Security and Privacy, 6. mmWave
and THz, 7. Underwater, 8. Wireline and Optical Communications,
9. Satellite, 10. IoT, 11. V2V, 12. 5G and Beyond
B. MIMO Communications and Signal Processing: 1. Multiuser
and Massive MIMO, 2. Channel Estimation and Equalization,
3. Full-Duplex, 4. Cooperation and Relaying, 5. Interference
Management and Awareness, 6. mmWave and THz, 7. Optimization,
8. Cell-Free Systems, 9. Intelligent Reflective Surfaces
C. Networks: 1. Wireless Networks, 2. IoT, 3. Network Information
Theory, 4. Optimization, 5. Graph Signal Processing, 6. Social
Networks, 7. Distributed Algorithms, 8. Security, 9. Computational
Offloading, 10. Self-Organizing Networks, 11. UAV and V2V
Networks, 12. Smart Grid
D. Adaptive Systems, Machine Learning, and Data Analytics:
1. Compressive Sensing, 2. Supervised and Self-Supervised Learning,
3. Estimation and Inference, 4. Adaptive and Cognitive Systems,
5. Adaptive Filtering, 6. Fast and Scalable Algorithms, 7. Models for
High-Dimensional Large-Scale Data, 8. Distributed Computation
and Storage, 9. Deep Learning, 10. Reinforcement Learning
E. Array Processing and Multisensor Systems: 1. Source
Localization and Separation, 2. Beamforming, 3. Robust Methods,
4. MIMO and Cognitive Radars, 5. Tensor Models and Processing,
6. Sparse Sensor Arrays, 7. Optimization, 8. Applications (Imaging,
Radar, Sonar, Microphone Arrays, etc.)
F. Biomedical Signal and Image Processing: 1. Molecular and
Medical Imaging, 2. Computational Imaging, 3. Neuroengineering,
4. Processing of Physiological Signals, 5. Bioinformatics and
Computational Biology, 6. Image Registration and Multimodal
Imaging, 7. Functional Imaging, 8. Brain Machine Interfaces,
9. Neural Signal Processing, 10. Computational Neuroscience
G. Architectures and Implementation: 1. Energy Efficiency,
2. Accelerators, 3. Reconfigurable Processing, 4. Non-idealities,
5. Multicore, Many-core, and Distributed Systems, 6. Algorithm and
Architecture Co-optimization, 7. Architectures for Big Data,
8. Architectures for Machine Learning, 9. Processing In-Memory,
10. Cyber-Physical Systems, 11. Testbeds, 12. Mixed-Signal
Processors, 13. Computer Arithmetic and Algorithms
H. Speech, Image and Video Processing: 1. Speech Coding,
2. Speech Recognition, 3. Audio Coding, 4. Document Processing,
5. Models for Speech and Image Processing, 6. Image and Video
Coding, 7. Learning and Autonomous Systems, 8. Computer Vision,
Image and Video Analysis, 9. Image and Video Forensics,
10. Biometrics and Security, 11. Hybrid Imaging Systems

Overview

The ranking presented on this page features a comprehensive list of scientific conferences within the field of Computer Science, meticulously compiled by Research.com. As one of the leading platforms dedicated to science research across all major disciplines, Research.com has been providing trusted data and analytical insights on scientific contributions since 2014.

This authoritative ranking is based on a unique bibliometric score, exclusively developed by Research.com, setting it apart from conventional conference evaluations. The bibliometric score integrates two key factors: the estimated h-index and the number of leading scientists who have actively participated in each conference over the previous three years. This robust scoring system ensures a multidimensional assessment of both conference influence and the quality of contributing researchers.

Impact Score values for this ranking were gathered as of 2024-11-27. The evaluation process relied on an extensive dataset, involving a thorough review of more than 2,742 conferences, which were shortlisted after a detailed and rigorous examination of over 148,739 scientific documents published within the last three years. These documents were authored by a select group of 13,184 leading and well-respected scientists specializing in Computer Science. This meticulous approach highlights the depth of research and analytical rigor that underpins the ranking, ensuring its reliability and esteem within the academic community.

For a detailed explanation of the methodology and criteria applied in computing the ranking scores, 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.

The top authors publishing at Asilomar Conference on Signals, Systems and Computers (based on the number of publications) are:

  • Robert W. Heath (29 papers) published 4 papers at the last edition the same number as at the previous edition,
  • Georgios B. Giannakis (28 papers) published 4 papers at the last edition the same number as at the previous edition,
  • Joseph R. Cavallaro (28 papers) published 4 papers at the last edition, 2 more than at the previous edition,
  • P.P. Vaidyanathan (25 papers) published 3 papers at the last edition the same number as at the previous edition,
  • Keshab K. Parhi (22 papers) published 3 papers at the last edition the same number as 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 Asilomar Conference on Signals, Systems and Computers (based on the number of publications) are:

  • University of Texas at Austin (84 papers) published 14 papers at the last edition, 4 more than at the previous edition,
  • University of Minnesota (80 papers) published 10 papers at the last edition the same number as at the previous edition,
  • Arizona State University (73 papers) published 15 papers at the last edition, 1 more than at the previous edition,
  • University of California, San Diego (67 papers) published 8 papers at the last edition the same number as at the previous edition,
  • Massachusetts Institute of Technology (63 papers) published 5 papers at the last edition, 2 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, 3.01% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 26.27% were posted by at least one author from the top 10 institutions publishing at the conference. Another 11.02% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 23.73% of all publications and 38.98% 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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