L. Serkin

88.6k citations
6 papers · 15 · h-index 2

Impact in

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

Papers in

    • Cognitive Science and Mapping 1
    • Computational Physics and Python Applications 1
    • Particle physics theoretical and experimental studies 3
    • High-Energy Particle Collisions Research 2
    • Quantum Chromodynamics and Particle Interactions 1
    • Particle Detector Development and Performance 1

L. Serkin

5 papers receiving 14 citations

Peers

L. Serkin
Comparison fields: 5 of 6
  • Nuclear and High Energy Physics 12
  • Safety Research 1
  • Statistical and Nonlinear Physics 1
  • Computer Networks and Communications 1
  • Economics and Econometrics 1
Replace F. Si with:
F. Si China
Anuj Kumar Upadhyay United States
D. Savoiu Germany
Z. Y. You China
E. Waheed Japan
T. Sinha India
Rebin Karaparambil Chile
Iwona Anna Sputowska Poland
M. Kordell United States
L. Serkin relative to F. Si China F. Si's profile →
Citations per field
00.5×1.5×
F. Si · 1×
Citations per year

Countries citing papers authored by L. Serkin

Since Specialization
Citations

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

Fields of papers citing papers by L. Serkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside L. Serkin, 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 L. Serkin Line = papers co-authored together L. Serkin links everyone, so they are left out of the graph.

All Works

About L. Serkin

L. Serkin is a scholar working on Artificial Intelligence, Nuclear and High Energy Physics, Computer Networks and Communications, Statistical and Nonlinear Physics and Atomic and Molecular Physics, and Optics, having authored 6 papers that have together received 15 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (3 papers), High-Energy Particle Collisions Research (2 papers), Quantum Chromodynamics and Particle Interactions (1 paper), E-Learning and Knowledge Management (1 paper), Cognitive Science and Mapping (1 paper), Particle Detector Development and Performance (1 paper), Computational Physics and Python Applications (1 paper) and Advanced Fiber Laser Technologies (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (12 citations), Safety Research (1 citation), Statistical and Nonlinear Physics (1 citation), Computer Networks and Communications (1 citation) and Economics and Econometrics (1 citation). L. Serkin has collaborated with scholars based in Mexico, Italy and Germany. Frequent co-authors include T. L. Belyaeva, G. Paić, G. Bíró, G. G. Barnaföldi and Carlos A. Coello Coello. Their work appears in journals such as The European Physical Journal Special Topics, Mathematics and SHILAP Revista de lepidopterología.

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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