Tom Torfs

3.8k citations
90 papers · 3.2k · h-index 29

Impact in

Papers in

Tom Torfs

88 papers receiving 3.1k citations

Peers

Tom Torfs
Comparison fields: 5 of 86
  • Biomedical Engineering 1.7k
  • Nuclear Energy and Engineering 4
  • Cardiology and Cardiovascular Medicine 316
  • Cellular and Molecular Neuroscience 189
  • Electrical and Electronic Engineering 490
Replace Guoxing Wang with:
Guoxing Wang China
Ramon Pallas-Areny Spain
Zhilin Zhang China
Chun-Huat Heng Singapore
Refet Fırat Yazıcıoğlu Belgium
Paulo Mateus Mendes Portugal
Bradley J. Bazuin United States
Jerald Yoo South Korea
Faisal Mohd-Yasin Malaysia
Pieter J. A. Harpe Netherlands
Tom Torfs relative to Guoxing Wang China Guoxing Wang's profile →
Citations per field
00.5×2×3×4×
Guoxing Wang · 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 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007321
2 2019278
3 2010230
4 2014222
5 2012161
6 2005107
7 201884
8 202182
9 202172
10 201968
11 200667
12 201464
13 201062
14 201162
15 201761
16 200860
17 200856
18 200948
19 201048
20 201147

About Tom Torfs

Tom Torfs is a scholar working on Biomedical Engineering, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Civil and Structural Engineering and Computer Networks and Communications, having authored 90 papers that have together received 3.2k indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (30 papers), Wireless Body Area Networks (18 papers), ECG Monitoring and Analysis (17 papers), Analog and Mixed-Signal Circuit Design (15 papers), Advanced Sensor and Energy Harvesting Materials (11 papers), Neuroscience and Neural Engineering (8 papers), Structural Health Monitoring Techniques (7 papers) and Innovative Energy Harvesting Technologies (5 papers). The work is most often cited by research in Biomedical Engineering (1.7k citations), Nuclear Energy and Engineering (4 citations), Cardiology and Cardiovascular Medicine (316 citations), Cellular and Molecular Neuroscience (189 citations) and Electrical and Electronic Engineering (490 citations). Tom Torfs has collaborated with scholars based in Belgium, Netherlands and Italy. Frequent co-authors include Chris A. Van Hoof, Vladimir N. Leonov, Refet Fırat Yazıcıoğlu, Paolo Fiorini, Marco Mercuri, Yao‐Hong Liu, Ilde Rosa Lorato, Hye Jung Kim, Fokko Pieter Wieringa and Sun Young Kim. Their work appears in journals such as IEEE Transactions on Biomedical Circuits and Systems, IEEE Sensors Journal, Sensors, Nature Electronics and IEEE Journal of Biomedical and Health Informatics.

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.

Explore authors with similar magnitude of impact