M. Dabrowski

1.3k citations
40 papers · 802 · h-index 13

Impact in

    • Neutrino Physics Research
    • Particle Detector Development and Performance
    • Particle physics theoretical and experimental studies
    • Dark Matter and Cosmic Phenomena
    • Quantum Chromodynamics and Particle Interactions
    • Nuclear physics research studies
  • Radiation top 10%
    • Radiation Detection and Scintillator Technologies

Papers in

M. Dabrowski

38 papers receiving 764 citations

Peers

M. Dabrowski
Comparison fields: 5 of 24
  • Nuclear and High Energy Physics 761
  • Radiation 36
  • Hardware and Architecture 9
  • Structural Biology 1
  • Computer Vision and Pattern Recognition 7
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Citations per field
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Citations per year

Countries citing papers authored by M. Dabrowski

Since Specialization
Citations

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

Fields of papers citing papers by M. Dabrowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020161
2 2021139
3 202097
4 202077
5 202253
6 202033
7 202030
8 202028
9
The DUNE Far Detector Interim Design Report, Volume 2 : Single-Phase Module
201821
10
Deep underground neutrino experiment (DUNE) far detector technical design report
202019
11 202016
12 201515
13 201615
14 202113
15 20149
16 20218
17 20187
18 20166
19 20206
20 20145

About M. Dabrowski

M. Dabrowski is a scholar working on Nuclear and High Energy Physics, Biomedical Engineering, Aerospace Engineering, Electrical and Electronic Engineering and Nuclear Energy and Engineering, having authored 40 papers that have together received 802 indexed citations. Recurring topics across this work include Particle Detector Development and Performance (30 papers), Neutrino Physics Research (13 papers), Analog and Mixed-Signal Circuit Design (2 papers), Advanced Fiber Optic Sensors (1 paper) and Particle accelerators and beam dynamics (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (761 citations), Radiation (36 citations), Hardware and Architecture (9 citations), Structural Biology (1 citation) and Computer Vision and Pattern Recognition (7 citations). M. Dabrowski has collaborated with scholars based in United States, Switzerland and Belgium. Frequent co-authors include Paul Leroux, Paul Aspell, G. De Robertis, Filip Tavernier, Tuure Tuuva, Gilles De Lentdecker, R. De Oliveira, Stephen Jackson, F. Loddo and K. B. Luk. Their work appears in journals such as Journal of Instrumentation, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, IEEE Transactions on Nuclear Science, The European Physical Journal C and Physical review. D.

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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