W. Dąbrowski

113.7k citations
167 papers · 2.8k · h-index 24

Impact in

Papers in

W. Dąbrowski

145 papers receiving 2.7k citations

Peers

W. Dąbrowski
Comparison fields: 5 of 128
  • Cellular and Molecular Neuroscience 1.6k
  • Cognitive Neuroscience 1.0k
  • Radiation 317
  • Nuclear and High Energy Physics 416
  • Electrical and Electronic Engineering 1.1k
Replace Keith Mathieson with:
Keith Mathieson United Kingdom
Shigeru Tanaka Japan
P. Gryboś Poland
Ursula van Rienen Germany
Yudong Yao United States
Elisa Vianello France
G. Hall United Kingdom
Christoph Börgers United States
T. Nakano Japan
C. Pask Australia
W. Dąbrowski relative to Keith Mathieson United Kingdom Keith Mathieson's profile →
Citations per field
00.5×3.6×
Keith Mathieson · 1×
Citations per year

Countries citing papers authored by W. Dąbrowski

Since Specialization
Citations

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

Fields of papers citing papers by W. Dąbrowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 167 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006294
2 2010253
3 2008220
4 2004206
5 2008172
6 2011151
7 201188
8 200987
9 201480
10 201376
11 199765
12 201461
13 201755
14 201253
15 201043
16 200339
17 200538
18 201837
19 200634
20 201328

About W. Dąbrowski

W. Dąbrowski is a scholar working on Electrical and Electronic Engineering, Nuclear and High Energy Physics, Radiation, Cellular and Molecular Neuroscience and Biomedical Engineering, having authored 167 papers that have together received 2.8k indexed citations. Recurring topics across this work include Particle Detector Development and Performance (72 papers), Radiation Detection and Scintillator Technologies (37 papers), Neuroscience and Neural Engineering (37 papers), CCD and CMOS Imaging Sensors (27 papers), Radiation Effects in Electronics (20 papers), Nuclear Physics and Applications (20 papers), Advanced Memory and Neural Computing (19 papers) and Analog and Mixed-Signal Circuit Design (16 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.6k citations), Cognitive Neuroscience (1.0k citations), Radiation (317 citations), Nuclear and High Energy Physics (416 citations) and Electrical and Electronic Engineering (1.1k citations). W. Dąbrowski has collaborated with scholars based in Poland, United States and Switzerland. Frequent co-authors include A. M. Litke, Paweł Hottowy, Alexander Sher, E. J. Chichilnisky, Chris Sekirnjak, Lauren H. Jepson, Keith Mathieson, P. Gryboś, Deborah E. Gunning and Piotr Kazimierz Wiacek. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Journal of Instrumentation, IEEE Transactions on Nuclear Science, Journal of Neural Engineering and Journal of 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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