Tom Torfs

3.8k citations
91 papers · 2.9k · h-index 29

Impact in

Papers in

Tom Torfs

91 papers receiving 2.8k citations

Peers

Tom Torfs
Comparison fields: 5 of 101
  • Biomedical Engineering 1.7k
  • Cardiology and Cardiovascular Medicine 673
  • Cellular and Molecular Neuroscience 473
  • Cognitive Neuroscience 404
  • Electrical and Electronic Engineering 1.2k
Replace Zhilin Zhang with:
Zhilin Zhang China
Chun-Huat Heng Singapore
Refet Fırat Yazıcıoğlu Belgium
Darrin J. Young United States
Faisal Mohd-Yasin Malaysia
Javad Dargahi Canada
Hanjun Jiang China
Yiannos Manoli Germany
Ruud Vullers Netherlands
Cameron N. Riviere United States
Tom Torfs relative to Zhilin Zhang China Zhilin Zhang's profile →
Citations per field
00.5×4.6×
Zhilin Zhang · 1×
Citations per year

Countries citing papers authored by Tom Torfs

Since Specialization
Citations

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

Fields of papers citing papers by Tom Torfs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007299
2 2019249
3 2010213
4 2014210
5 2012147
6 2005100
7 201878
8 202173
9 201964
10 202162
11 201760
12 201459
13 201158
14 200655
15 201055
16 200854
17 200848
18 200947
19 201846
20 201046

About Tom Torfs

Tom Torfs is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 91 papers that have together received 2.9k indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (21 papers), Analog and Mixed-Signal Circuit Design (20 papers), Neuroscience and Neural Engineering (16 papers), ECG Monitoring and Analysis (16 papers), Energy Harvesting in Wireless Networks (13 papers), Hemodynamic Monitoring and Therapy (11 papers), EEG and Brain-Computer Interfaces (11 papers) and Advanced Sensor and Energy Harvesting Materials (7 papers). The work is most often cited by research in Biomedical Engineering (1.7k citations), Cardiology and Cardiovascular Medicine (673 citations), Cellular and Molecular Neuroscience (473 citations), Cognitive Neuroscience (404 citations) and Electrical and Electronic Engineering (1.2k citations). Tom Torfs has collaborated with scholars based in Belgium, Netherlands and Italy. Frequent co-authors include Chris Van Hoof, Vladimir Leonov, Refet Fırat Yazıcıoğlu, Paolo Fiorini, M. Mercuri, Yao‐Hong Liu, Hye Jung Kim, Ilde Lorato, Fokko P. Wieringa and Sun Young Kim. Their work appears in journals such as IEEE Transactions on Biomedical Circuits and Systems, IEEE Sensors Journal, Sensors, IEEE Journal of Biomedical and Health Informatics and Nature Electronics.

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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