Simon Denman

6.3k citations
180 papers · 4.3k · 1 hit paper · h-index 36

Impact in

Papers in

Simon Denman

171 papers receiving 4.1k citations

Simon Denman's Hit Papers

Deep Learning for Patient-Independent Epileptic Seizure Prediction Using Scalp EEG Signals 2021 · 133 citations
1330+1+3Years since publication4080120

Peers

Simon Denman
Comparison fields: 5 of 151
  • Computer Vision and Pattern Recognition 2.4k
  • Signal Processing 455
  • Artificial Intelligence 1.4k
  • Cognitive Neuroscience 586
  • Safety, Risk, Reliability and Quality 261
Replace Clinton Fookes with:
Clinton Fookes Australia
Matteo Matteucci Italy
Urbano Nunes Portugal
Xiaobo Chen China
Jiquan Ngiam United States
Sridha Sridharan Australia
Alexandre Bernardino Portugal
Massimo Piccardi Australia
Antoni B. Chan Hong Kong
Yinpeng Chen United States
Simon Denman relative to Clinton Fookes Australia Clinton Fookes's profile →
Citations per field
00.5×1.5×
Clinton Fookes · 1×
Citations per year

Countries citing papers authored by Simon Denman

Since Specialization
Citations

This map shows the geographic impact of Simon Denman'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 Denman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Denman more than expected).

Fields of papers citing papers by Simon Denman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon Denman. 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 Denman. The network helps show where Simon Denman may publish in the future.

Co-authors

The 25 scholars most cited alongside Simon Denman, 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 Denman Line = papers co-authored together Simon Denman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 180 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018278
2 2009238
3 2021156
4 2017134
5
Deep Learning for Patient-Independent Epileptic Seizure Prediction Using Scalp EEG Signals
Hit paper breakdown →
2021133
6 2011123
7 2014107
8 2018102
9 2012101
10 202187
11 202078
12 202177
13 201972
14 202070
15
Heart Sound Segmentation using Bidirectional LSTMs with Attention
202063
16 202063
17 201457
18 201756
19 201955
20 202055

About Simon Denman

Simon Denman is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Biomedical Engineering and Cognitive Neuroscience, having authored 180 papers that have together received 4.3k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (69 papers), Human Pose and Action Recognition (43 papers), Anomaly Detection Techniques and Applications (41 papers), Advanced Image and Video Retrieval Techniques (19 papers), Gait Recognition and Analysis (16 papers), EEG and Brain-Computer Interfaces (15 papers), Face recognition and analysis (15 papers) and Advanced Vision and Imaging (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.4k citations), Signal Processing (455 citations), Artificial Intelligence (1.4k citations), Cognitive Neuroscience (586 citations) and Safety, Risk, Reliability and Quality (261 citations). Simon Denman has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Clinton Fookes, Sridha Sridharan, Tharindu Fernando, David Ryan, David Ahmedt‐Aristizabal, Harshala Gammulle, Kien Nguyen, Theekshana Dissanayake, Mohammad Ali Armin and Lars Petersson. Their work appears in journals such as Computer Vision and Image Understanding, Pattern Recognition Letters, Pattern Recognition, IEEE Journal of Biomedical and Health Informatics and IEEE Transactions on Circuits and Systems for Video Technology.

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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