I. Kisel

48.7k total citations
61 papers, 328 citations indexed

About

I. Kisel is a scholar working on Nuclear and High Energy Physics, Computational Theory and Mathematics and Statistical and Nonlinear Physics. According to data from OpenAlex, I. Kisel has authored 61 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Nuclear and High Energy Physics, 14 papers in Computational Theory and Mathematics and 11 papers in Statistical and Nonlinear Physics. Recurrent topics in I. Kisel's work include Particle physics theoretical and experimental studies (30 papers), Particle Detector Development and Performance (19 papers) and High-Energy Particle Collisions Research (18 papers). I. Kisel is often cited by papers focused on Particle physics theoretical and experimental studies (30 papers), Particle Detector Development and Performance (19 papers) and High-Energy Particle Collisions Research (18 papers). I. Kisel collaborates with scholars based in Germany, Russia and Italy. I. Kisel's co-authors include Valentina Akishina, S. Gorbunov, G. Ososkov, M. Zyzak, I. Abt, A. Glazov, V. Lindenstruth, D. Emeliyanov, U. Kebschull and S. Masciocchi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computer Physics Communications and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

In The Last Decade

I. Kisel

55 papers receiving 306 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
I. Kisel Germany 9 238 51 42 36 33 61 328
H. Qu China 6 273 1.1× 108 2.1× 20 0.5× 24 0.7× 15 0.5× 15 348
Anja Butter Germany 14 445 1.9× 149 2.9× 29 0.7× 32 0.9× 8 0.2× 24 517
Joshua Isaacson United States 12 438 1.8× 116 2.3× 17 0.4× 36 1.0× 9 0.3× 32 515
S.‐C. Hsu United States 7 167 0.7× 64 1.3× 11 0.3× 12 0.3× 9 0.3× 33 229
V. M. Mikuni United States 13 325 1.4× 166 3.3× 28 0.7× 19 0.5× 6 0.2× 27 420
Ramon Winterhalder Germany 7 185 0.8× 73 1.4× 17 0.4× 19 0.5× 7 0.2× 11 233
Rob Verheyen United Kingdom 11 635 2.7× 91 1.8× 17 0.4× 20 0.6× 5 0.2× 20 686
Johann Brehmer United States 12 454 1.9× 149 2.9× 24 0.6× 18 0.5× 7 0.2× 23 600
Ryo Takahashi Japan 12 299 1.3× 22 0.4× 8 0.2× 43 1.2× 10 0.3× 65 443
Robert Stewart United Kingdom 13 137 0.6× 46 0.9× 10 0.2× 61 1.7× 15 0.5× 42 366

Countries citing papers authored by I. Kisel

Since Specialization
Citations

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

Fields of papers citing papers by I. Kisel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I. Kisel

This figure shows the co-authorship network connecting the top 25 collaborators of I. Kisel. A scholar is included among the top collaborators of I. Kisel 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 I. Kisel. I. Kisel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Leung, Y. H., P. Chaloupka, X. Dong, et al.. (2023). Applying the Kalman filter particle method to strange and open charm hadron reconstruction in the STAR experiment. Nuclear Science and Techniques. 34(10). 3 indexed citations
3.
Fisyak, Y., В. В. Иванов, H. W. Ke, et al.. (2021). Application of the missing mass method in the fixed-target program of the STAR experiment. SHILAP Revista de lepidopterología. 251. 4029–4029. 2 indexed citations
4.
Bratkovskaya, Elena, et al.. (2020). Deep learning for quark–gluon plasma detection in the CBM experiment. International Journal of Modern Physics A. 35(33). 2043002–2043002. 6 indexed citations
5.
Kisel, I.. (2018). Event Topology Reconstruction in the CBM Experiment. Journal of Physics Conference Series. 1070. 12015–12015. 7 indexed citations
6.
Akishina, Valentina, et al.. (2018). Time-based Reconstruction of Free-streaming Data in CBM. SHILAP Revista de lepidopterología. 173. 4002–4002. 1 indexed citations
7.
Vovchenko, Volodymyr, M. I. Gorenstein, L. M. Satarov, et al.. (2016). Entropy production in chemically nonequilibrium quark-gluon plasma created in centralPb+Pbcollisions at energies available at the CERN Large Hadron Collider. Physical review. C. 93(1). 7 indexed citations
8.
Kisel, I.. (2014). Advances in tracking and trigger concepts. Journal of Physics Conference Series. 523. 12022–12022.
9.
10.
Höhne, Christian, et al.. (2010). Fast global tracking for the CBM experiment at fair. 1 indexed citations
11.
Lebedev, Andrey A., et al.. (2010). Track reconstruction algorithms for the CBM experiment at FAIR. Journal of Physics Conference Series. 219(3). 32048–32048. 4 indexed citations
12.
Kisel, I., et al.. (2010). Fast Parallelized Tracking Algorithm for the Muon Detector of the Cbm Experiment at Fair. 56. 1 indexed citations
13.
Lindenstruth, V. & I. Kisel. (2004). Overview of trigger systems. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 535(1-2). 48–56. 13 indexed citations
14.
Abt, I., D. Emeliyanov, I. Kisel, & S. Masciocchi. (2002). CATS: a cellular automaton for tracking in silicon for the HERA-B vertex detector. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 489(1-3). 389–405. 18 indexed citations
15.
Karpukhin, V.V., I. Kisel, A. S. Korenchenko, et al.. (1999). CYLINDRICAL PROPORTIONAL CHAMBERS OF THE PIBETA SETUP. Instruments and Experimental Techniques. 42(3). 335–341.
16.
Karpukhin, V.V., N. V. Khomutov, I. Kisel, et al.. (1998). Cylindrical multiwire proportional chambers for the PIBETA detector. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 418(2-3). 306–313. 3 indexed citations
17.
Bussa, M.P., L. Ferrero, D. Giordano, et al.. (1997). Application of a cellular automaton for recognition of straight tracks in the spectrometer DISTO. Computers & Mathematics with Applications. 34(7-8). 695–701. 4 indexed citations
18.
Bussa, M.P., L. Fava, L. Ferrero, et al.. (1995). An algorithm for identifying events in the experiment DISTO. 1 indexed citations
19.
Kisel, I., et al.. (1993). Application of neural networks in experimental physics. Physics of Particles and Nuclei. 24(6). 1551–1595. 7 indexed citations
20.
Chernov, N., et al.. (1993). Track and vertex reconstruction in discrete detectors using Chebyshev metrics. Computer Physics Communications. 74(2). 217–227. 4 indexed citations

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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