M. Kagan

72.9k citations
60 papers · 830 · 1 hit paper · h-index 15

Impact in

Papers in

M. Kagan

54 papers receiving 766 citations

M. Kagan's Hit Papers

Machine learning at the energy and intensity frontiers of particle physics 2018 · 253 citations
2530+2+5Years since publication50100150200250

Peers

M. Kagan
Comparison fields: 5 of 103
  • Nuclear and High Energy Physics 234
  • Hardware and Architecture 105
  • Structural Biology 10
  • Computer Networks and Communications 156
  • Acoustics and Ultrasonics 6
Replace Matthew Feldman with:
Matthew Feldman United States
Matthias Jung Germany
Dimitrios Papadopoulos France
Thomas Winkler Germany
James Michael United States
Stefan Breuer Germany
Rainer Müller Germany
Daniel Dewey United States
Roberto da Silva Brazil
Matthew E. Peters United States
M. Kagan relative to Matthew Feldman United States Matthew Feldman's profile →
Citations per field
00.5×8.7×
Matthew Feldman · 1×
Citations per year

Countries citing papers authored by M. Kagan

Since Specialization
Citations

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

Fields of papers citing papers by M. Kagan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Machine learning at the energy and intensity frontiers of particle physics
Hit paper breakdown →
2018253
2
Is Truth in the Eye of the Beholder? Objective Credibility Assessment in Refugee Status Determination
200372
3 201147
4 201139
5 201636
6 201032
7 200628
8 201027
9
We Live in a Country of UNHCR: The UN Surrogate State and Refugee Policy in the Middle East
201123
10 201122
11 202019
12 200617
13 202415
14 201615
15 200614
16 200514
17 201711
18
The UN "Surrogate State" and the Foundation of Refugee Policy in the Middle East
201211
19
The Pentium" Processor with MMXTM Technology
199710
20 202110

About M. Kagan

M. Kagan is a scholar working on Political Science and International Relations, Sociology and Political Science, Nuclear and High Energy Physics, Artificial Intelligence and Computer Networks and Communications, having authored 60 papers that have together received 830 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (12 papers), Particle Detector Development and Performance (9 papers), Asian Geopolitics and Ethnography (9 papers), Computational Physics and Python Applications (7 papers), Global Peace and Security Dynamics (7 papers), Migration, Refugees, and Integration (6 papers), Parallel Computing and Optimization Techniques (6 papers) and Legal Systems and Judicial Processes (6 papers). The work is most often cited by research in Nuclear and High Energy Physics (234 citations), Hardware and Architecture (105 citations), Structural Biology (10 citations), Computer Networks and Communications (156 citations) and Acoustics and Ultrasonics (6 citations). M. Kagan has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include A. Himmel, K. Terao, M. Williams, Alexander Radovic, A. Aurisano, T. Wongjirad, D. Rousseau, Gilad Shainer, K. Cranmer and Gilles Louppe. Their work appears in journals such as Machine Learning Science and Technology, Physical review. D, Computer Science - Research and Development, Applied Optics and Computer Physics Communications.

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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