Jan Putzeys

4.7k citations
30 papers · 780 · h-index 12

Impact in

Papers in

Jan Putzeys

30 papers receiving 765 citations

Peers

Jan Putzeys
Comparison fields: 5 of 53
  • Cellular and Molecular Neuroscience 578
  • Cognitive Neuroscience 355
  • Electrical and Electronic Engineering 472
  • 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
Taiyun Chi United States
Paolo Livi Switzerland
Simon Neukom Switzerland
Ross Walker United States
S. Hafizovic Switzerland
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 2017148
2 2017131
3 201878
4 201957
5 201952
6 201647
7 201640
8 201936
9 201827
10 201926
11 202323
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 780 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (17 papers), Advanced Memory and Neural Computing (14 papers), Analog and Mixed-Signal Circuit Design (7 papers), CCD and CMOS Imaging Sensors (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 (578 citations), Cognitive Neuroscience (355 citations), Electrical and Electronic Engineering (472 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, Alexandru Andrei, Bogdan Raducanu, Marco Ballini, Silke Musa, Srinjoy Mitra and Refet Fırat Yazıcıoğlu. Their work appears in journals such as IEEE Transactions on Biomedical Circuits and Systems, IEEE Journal of Solid-State Circuits, Nature Communications, Frontiers in Neuroscience and Journal of Low Temperature Physics.

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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