Jan Putzeys

4.9k citations
30 papers · 794 · h-index 12

Impact in

Papers in

Jan Putzeys

30 papers receiving 782 citations

Peers

Jan Putzeys
Comparison fields: 5 of 54
  • Cellular and Molecular Neuroscience 572
  • Cognitive Neuroscience 346
  • Electrical and Electronic Engineering 469
  • Biomedical Engineering 272
  • Bioengineering 23
Replace Alexandru Andrei with:
Alexandru Andrei Belgium
Arno Aarts Belgium
Carolina Mora López Belgium
David Jäckel Switzerland
Vijay Viswam Switzerland
Paolo Livi Switzerland
Taiyun Chi United States
Simon Neukom Switzerland
Makito Haruta Japan
Yong Lim South Korea
Jan Putzeys relative to Alexandru Andrei Belgium Alexandru Andrei's profile →
Citations per field
00.5×1.5×
Alexandru Andrei · 1×
Citations per year

Countries citing papers authored by Jan Putzeys

Since Specialization
Citations

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

Fields of papers citing papers by Jan Putzeys

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017151
2 2017131
3 201879
4 201958
5 201956
6 201647
7 201640
8 201938
9 201827
10 201926
11 202325
12 201013
13 200611
14 200211
15 202210
16 201310
17 20238
18 20138
19 20157
20 20077

About Jan Putzeys

Jan Putzeys is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Biomedical Engineering, Cognitive Neuroscience and Astronomy and Astrophysics, having authored 30 papers that have together received 794 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (17 papers), Advanced Memory and Neural Computing (14 papers), CCD and CMOS Imaging Sensors (7 papers), Analog and Mixed-Signal Circuit Design (7 papers), Neural dynamics and brain function (6 papers), Superconducting and THz Device Technology (5 papers), Particle Detector Development and Performance (4 papers) and Advancements in Semiconductor Devices and Circuit Design (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (572 citations), Cognitive Neuroscience (346 citations), Electrical and Electronic Engineering (469 citations), Biomedical Engineering (272 citations) and Bioengineering (23 citations). Jan Putzeys has collaborated with scholars based in Belgium, United States and United Kingdom. Frequent co-authors include Carolina Mora López, Nick Van Helleputte, Shiwei Wang, Chris Van Hoof, Marco Ballini, Alexandru Andrei, Bogdan Raducanu, Silke Musa, Refet Fırat Yazıcıoğlu and Srinjoy Mitra. Their work appears in journals such as IEEE Transactions on Biomedical Circuits and Systems, IEEE Journal of Solid-State Circuits, Nature Communications, Journal of Low Temperature Physics and Frontiers in Neuroscience.

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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