M. Goncharov

85.8k total citations
5 papers, 23 citations indexed

About

M. Goncharov is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Organic Chemistry. According to data from OpenAlex, M. Goncharov has authored 5 papers receiving a total of 23 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Nuclear and High Energy Physics, 2 papers in Artificial Intelligence and 1 paper in Organic Chemistry. Recurrent topics in M. Goncharov's work include Particle physics theoretical and experimental studies (4 papers), High-Energy Particle Collisions Research (2 papers) and Computational Physics and Python Applications (2 papers). M. Goncharov is often cited by papers focused on Particle physics theoretical and experimental studies (4 papers), High-Energy Particle Collisions Research (2 papers) and Computational Physics and Python Applications (2 papers). M. Goncharov collaborates with scholars based in United States, Italy and France. M. Goncharov's co-authors include Benedikt Maier, M. Schott, R. G. Wagner, V. Khotilovich, F. Happacher, H. Sanders, T. Kamon, D. Toback, V. Krutelyov and M. Cordelli and has published in prestigious journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Machine Learning Science and Technology and Journal of Physics Conference Series.

In The Last Decade

M. Goncharov

3 papers receiving 23 citations

Peers

M. Goncharov
Comparison fields: 5 of 11
  • Nuclear and High Energy Physics 17
  • Food Science 3
  • Astronomy and Astrophysics 2
  • Instrumentation 2
  • Artificial Intelligence 2
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Citations per field, relative to M. Goncharov
M. Goncharov · 1×
Citations per year, relative to M. Goncharov
M. Goncharov · 1×

Countries citing papers authored by M. Goncharov

Since Specialization
Citations

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

Fields of papers citing papers by M. Goncharov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Goncharov

This figure shows the co-authorship network connecting the top 25 collaborators of M. Goncharov. A scholar is included among the top collaborators of M. Goncharov based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Goncharov. M. Goncharov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
# Work Indexed citations
1 9
2 4
3
Search for new particles decaying into dijets in proton-antiproton collisions at sqrt[s]=1.96 TeV
0
4 10
5
The CDF-II Tau Physics Program - Triggers, $\tau$ ID and Preliminary Results
0

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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