Simon Haykin

33.0k citations
44 papers · 22.9k indexed · 3 hit papers · h-index 15

Impact in

Papers in

Simon Haykin

43 papers receiving 20.8k citations

Hit Papers

Kernel Adaptive Filtering 2010 · 388 citations
38819982026200720165.0k10.0k15.0k20.0k

Peers

Simon Haykin
Comparison fields: 5 of 223
  • Artificial Intelligence 8.2k
  • Signal Processing 2.5k
  • Computer Vision and Pattern Recognition 3.0k
  • Control and Systems Engineering 3.3k
  • Environmental Engineering 1.8k
Replace Ronald J. Williams with:
Ronald J. Williams United States
Chris Bishop United Kingdom
Jyh‐Shing Roger Jang Taiwan
Joos Vandewalle Belgium
Jorge Nocedal United States
Johan A. K. Suykens Belgium
Bart De Moor Belgium
David E. Goldberg United States
Christopher J. C. Burges United States
Carl Edward Rasmussen United Kingdom
Simon Haykin relative to Ronald J. Williams United States Ronald J. Williams's profile →
Citations per field
00.5×1.5×
Ronald J. Williams · 1×
Citations per year

Countries citing papers authored by Simon Haykin

Since Specialization
Citations

This map shows the geographic impact of Simon Haykin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Simon Haykin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Haykin more than expected).

Fields of papers citing papers by Simon Haykin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon Haykin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Simon Haykin. The network helps show where Simon Haykin may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Simon Haykin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Simon Haykin Line = papers co-authored together Simon Haykin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Neural Networks;Acomprehensive foundation
20195
2
Kernel Adaptive Filtering: A Comprehensive Introduction
Hit paper breakdown →
2010391
3
Neural Networks and Learning Machines 3rd Edition : Simon Haykin
20098
4
Neural Networks: A Comprehensive Foundation (3rd Edition)
200768
5 2007132
6
Correlative Learning: A Basis for Brain and Adaptive Systems (Adaptive and Learning Systems for Signal Processing, Communications and Control Series)
20071
7 20072
8 200722
9
Independent Component Analysis and Blind Signal Separation: 6th International Conference, ICA 2006, Charleston, SC, USA, March 5-8, 2006, Proceedings (Lecture Notes in Computer Science)
20062
10 200628
11
Predicting Speech Intelligibility from a Population of Neurons
20037
12 200119
13
Generalized support vector machines.
19999
14
Adaptive signal processing
199812
15
Neural Networks: A Comprehensive Foundation
Hit paper breakdown →
199821291
16
A mutual information-based learning strategy and its application to radar
19965
17
Neural networks for adaptive signal processing
19935
18 19870
19 19867
20 19834

About Simon Haykin

Simon Haykin is a scholar working on Signal Processing, Artificial Intelligence, Sensory Systems, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 44 papers that have together received 22.9k indexed citations. Recurring topics across this work include Neural Networks and Applications (8 papers), Target Tracking and Data Fusion in Sensor Networks (8 papers), Blind Source Separation Techniques (6 papers), Radar Systems and Signal Processing (6 papers), Advanced Adaptive Filtering Techniques (4 papers), Image and Signal Denoising Methods (3 papers), Face and Expression Recognition (3 papers) and Hearing Loss and Rehabilitation (3 papers). The work is most often cited by research in Artificial Intelligence (8.2k citations), Signal Processing (2.5k citations), Computer Vision and Pattern Recognition (3.0k citations), Control and Systems Engineering (3.3k citations) and Environmental Engineering (1.8k citations). Simon Haykin has collaborated with scholars based in Canada, United States and Belgium. Frequent co-authors include José C. Prı́ncipe, Weifeng Liu, Weifeng Liu, Peyman Setoodeh, Yanbo Xue, Le Yang, Vikram Krishnamurthy, Alex Wang, J.P. Reilly and Davide Mattera. Their work appears in journals such as Proceedings of the IEEE, IEEE Signal Processing Magazine, IEEE Signal Processing Letters, Neural Networks and Signal Processing.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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