T. Przedziński
Impact in
- Nuclear and High Energy Physics top 10%
- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- Particle Detector Development and Performance
- High-Energy Particle Collisions Research
- Neutrino Physics Research
- Astrophysics and Cosmic Phenomena
-
- Parallel Computing and Optimization Techniques
Papers in
-
- Particle physics theoretical and experimental studies 13
- Quantum Chromodynamics and Particle Interactions 4
- Co-authors
- Zbigniew Andrzej Was (10 shared papers)Nadia Davidson (3 shared papers)G. Nanava (1 shared paper)Pablo Roig (3 shared papers)Olga Shekhovtsova (4 shared papers)I. M. Nugent (2 shared papers)Andrii Verbytskyi (2 shared papers)Witold Pokorski D (2 shared papers)
- Journals
- Computer Physics Communications (5 papers)The European Physical Journal C (3 papers)Journal of Physics Conference Series (1 paper)EPJ Web of Conferences (1 paper)SciPost Physics Proceedings (1 paper)
- Partner nations
- PolandSwitzerlandGermany
In The Last Decade
T. Przedziński
13 papers receiving 849 citations
T. Przedziński's Hit Papers
Peers
Comparison fields: 5 of 12
- Nuclear and High Energy Physics 955
- Hardware and Architecture 3
- Information Systems and Management 3
- Numerical Analysis 1
- Radiation 1
Countries citing papers authored by T. Przedziński
This map shows the geographic impact of T. Przedziński'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 T. Przedziński with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Przedziński more than expected).
Fields of papers citing papers by T. Przedziński
This network shows the impact of papers produced by T. Przedziński. 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 T. Przedziński. The network helps show where T. Przedziński may publish in the future.
Co-authors
The 21 scholars most cited alongside T. Przedziński, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | PHOTOS interface in C++ Hit paper breakdown → | 2015 | 303 |
| 2 | 2010 | 276 | |
| 3 | 2011 | 129 | |
| 4 | 2013 | 68 | |
| 5 | 2020 | 52 | |
| 6 | 2012 | 50 | |
| 7 | 2013 | 22 | |
| 8 | 2018 | 18 | |
| 9 | 2010 | 16 | |
| 10 | 2014 | 14 | |
| 11 | 2020 | 5 | |
| 12 | 2012 | 3 | |
| 13 | 2016 | 1 | |
| 14 | 2025 | 0 |
About T. Przedziński
T. Przedziński is a scholar working on Nuclear and High Energy Physics, Nuclear Energy and Engineering, Waste Management and Disposal, Infectious Diseases and Organic Chemistry, having authored 14 papers that have together received 957 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (13 papers) and Quantum Chromodynamics and Particle Interactions (4 papers). The work is most often cited by research in Nuclear and High Energy Physics (955 citations), Hardware and Architecture (3 citations), Information Systems and Management (3 citations), Numerical Analysis (1 citation) and Radiation (1 citation). T. Przedziński has collaborated with scholars based in Poland, Switzerland and Germany. Frequent co-authors include Zbigniew Andrzej Was, Nadia Davidson, G. Nanava, Pablo Roig, Olga Shekhovtsova, I. M. Nugent, Andrii Verbytskyi, Witold Pokorski D, Philip Ilten and Leif Lönnblad. Their work appears in journals such as Computer Physics Communications, The European Physical Journal C, Journal of Physics Conference Series, EPJ Web of Conferences and SciPost Physics Proceedings.
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.