S.I. Pak

1.4k citations
16 papers · 882 · 1 hit paper · h-index 11

Impact in

    • Particle physics theoretical and experimental studies
    • High-Energy Particle Collisions Research
    • Quantum Chromodynamics and Particle Interactions
    • Particle Detector Development and Performance
    • Dark Matter and Cosmic Phenomena
    • Neutrino Physics Research
    • Black Holes and Theoretical Physics
    • Cosmology and Gravitation Theories

Papers in

    • High-Energy Particle Collisions Research 16
    • Particle physics theoretical and experimental studies 16
    • Quantum Chromodynamics and Particle Interactions 10
    • Particle Detector Development and Performance 3
    • Black Holes and Theoretical Physics 1
    • Cosmology and Gravitation Theories 2

S.I. Pak

14 papers receiving 634 citations

S.I. Pak's Hit Papers

Electron and photon reconstruction and identification with the CMS experiment at the CERN LHC 2021 · 174 citations
1740+1+3Years since publication50100150

Peers

S.I. Pak
Comparison fields: 5 of 30
  • Nuclear and High Energy Physics 855
  • Astronomy and Astrophysics 106
  • Artificial Intelligence 54
  • Radiation 11
  • Statistical and Nonlinear Physics 11
Replace A. Messineo with:
A. Messineo Austria
M. Gola Switzerland
P. Merkel France
R. Horisberger Austria
F. Iltzsche France
M. Hadley Switzerland
J. Malcles Austria
G. Roland Switzerland
P. Schleper
D. Green Switzerland
S.I. Pak relative to A. Messineo Austria A. Messineo's profile →
Citations per field
00.5×1.5×
A. Messineo · 1×
Citations per year

Countries citing papers authored by S.I. Pak

Since Specialization
Citations

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

Fields of papers citing papers by S.I. Pak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.I. Pak. 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 S.I. Pak. The network helps show where S.I. Pak may publish in the future.

No co-authors to show.

All Works

16 of 16 papers shown
#Work
1 2018219
2 2019187
3
Electron and photon reconstruction and identification with the CMS experiment at the CERN LHC
Hit paper breakdown →
2021174
4 202055
5 201950
6 202046
7 202039
8 202039
9 201931
10 202117
11 202315
12 20217
13 20232
14 20221
15 20250
16 20240

About S.I. Pak

S.I. Pak is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics, Insect Science, Renewable Energy, Sustainability and the Environment and Obstetrics and Gynecology, having authored 16 papers that have together received 882 indexed citations. Recurring topics across this work include High-Energy Particle Collisions Research (16 papers), Particle physics theoretical and experimental studies (16 papers), Quantum Chromodynamics and Particle Interactions (10 papers), Particle Detector Development and Performance (3 papers), Cosmology and Gravitation Theories (2 papers) and Black Holes and Theoretical Physics (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (855 citations), Astronomy and Astrophysics (106 citations), Artificial Intelligence (54 citations), Radiation (11 citations) and Statistical and Nonlinear Physics (11 citations). S.I. Pak has collaborated with scholars based in Austria, Switzerland and Armenia. Their work appears in journals such as Physics Letters B, Journal of High Energy Physics, Journal of Instrumentation, Nature Physics and The European Physical Journal C.

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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