W. Fedorko

9.0k citations
6 papers · 6 · h-index 2

Impact in

Papers in

    • Particle physics theoretical and experimental studies 4
    • Particle Detector Development and Performance 3
    • High-Energy Particle Collisions Research 2
    • Radiation Detection and Scintillator Technologies 1

W. Fedorko

2 papers receiving 6 citations

Peers

W. Fedorko
Comparison fields: 5 of 7
  • Nuclear and High Energy Physics 4
  • Statistical and Nonlinear Physics 1
  • Artificial Intelligence 2
  • Computer Vision and Pattern Recognition 1
  • Radiology, Nuclear Medicine and Imaging 1
Replace Antonio Carlos Oliveira da Silva with:
Antonio Carlos Oliveira da Silva United States
B. Schlag Switzerland
A. Giannini Italy
M. Zdybał Poland
Moloko Hlakola South Africa
C. Battilana Italy
D. Salamani Switzerland
Swagata Mukherjee India
D. Trocino United States
J. Barrios-Martí Italy
W. Fedorko relative to Antonio Carlos Oliveira da Silva United States Antonio Carlos Oliveira da Silva's profile →
Citations per field
00.5×1.5×2.5×
Antonio Carlos Oliveira da Silva · 1×
Citations per year

Countries citing papers authored by W. Fedorko

Since Specialization
Citations

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

Fields of papers citing papers by W. Fedorko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside W. Fedorko, 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. Fedorko Line = papers co-authored together W. Fedorko links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 20245
2 20251
3 20250
4 20230
5 20100
6 20250

About W. Fedorko

W. Fedorko is a scholar working on Nuclear and High Energy Physics, Radiation, Artificial Intelligence, Aerospace Engineering and Computer Networks and Communications, having authored 6 papers that have together received 6 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (4 papers), Particle Detector Development and Performance (3 papers), Particle accelerators and beam dynamics (2 papers), High-Energy Particle Collisions Research (2 papers), Particle Accelerators and Free-Electron Lasers (1 paper), Advanced Data Storage Technologies (1 paper), Quantum Computing Algorithms and Architecture (1 paper) and Radiation Detection and Scintillator Technologies (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (4 citations), Statistical and Nonlinear Physics (1 citation), Artificial Intelligence (2 citations), Computer Vision and Pattern Recognition (1 citation) and Radiology, Nuclear Medicine and Imaging (1 citation). W. Fedorko has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include M. Swiatlowski, T. Dias Do Vale, Roger G. Melko, O. Kester, Sebastián González, I-Hsuan Lu, N. W. Prouse, Geoffrey Fox, C. Gay and Eric Paquet. Their work appears in journals such as Journal of Instrumentation, The European Physical Journal C, npj Quantum Information and Review of Scientific Instruments.

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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