I. Kakorin

1.5k total citations
13 papers, 77 citations indexed

About

I. Kakorin is a scholar working on Biomedical Engineering, Mechanical Engineering and Nuclear and High Energy Physics. According to data from OpenAlex, I. Kakorin has authored 13 papers receiving a total of 77 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomedical Engineering, 6 papers in Mechanical Engineering and 4 papers in Nuclear and High Energy Physics. Recurrent topics in I. Kakorin's work include Heat Transfer and Boiling Studies (6 papers), Fluid Dynamics and Mixing (5 papers) and Particle physics theoretical and experimental studies (4 papers). I. Kakorin is often cited by papers focused on Heat Transfer and Boiling Studies (6 papers), Fluid Dynamics and Mixing (5 papers) and Particle physics theoretical and experimental studies (4 papers). I. Kakorin collaborates with scholars based in Russia, United States and France. I. Kakorin's co-authors include V. A. Naumov, Konstantin S. Kuzmin, A. Meregaglia, Walter T. Giele, O. Hen, M. Roda, S. R. Dennis, Adi Ashkenazi, Gabriel Perdue and Júlia Tena Vidal and has published in prestigious journals such as International Journal of Multiphase Flow, The European Physical Journal C and Cryogenics.

In The Last Decade

I. Kakorin

11 papers receiving 66 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. Kakorin Russia 6 32 32 19 19 12 13 77
Thierry Delvigne Belgium 8 36 1.1× 18 0.6× 37 1.9× 20 1.1× 8 0.7× 17 111
D. Schmid Switzerland 5 45 1.4× 28 0.9× 12 0.6× 33 1.7× 15 1.3× 6 91
Jack Reynolds United States 7 27 0.8× 24 0.8× 3 0.2× 31 1.6× 9 0.8× 13 85
X. Wan China 7 48 1.5× 8 0.3× 17 0.9× 5 0.3× 25 2.1× 20 105
T. Ilkei Hungary 5 41 1.3× 14 0.4× 47 2.5× 9 0.5× 7 0.6× 5 102
M. Czerwiński Germany 6 33 1.0× 30 0.9× 25 1.3× 19 1.0× 2 0.2× 7 68
E. G. Dzenitis United States 6 21 0.7× 8 0.3× 11 0.6× 10 0.5× 28 2.3× 9 72
K. Gulec United States 4 22 0.7× 9 0.3× 14 0.7× 5 0.3× 17 1.4× 6 51
A. Durif France 7 21 0.7× 17 0.5× 22 1.2× 61 3.2× 7 0.6× 21 150
H. Postema Switzerland 5 20 0.6× 13 0.4× 4 0.2× 25 1.3× 8 0.7× 12 54

Countries citing papers authored by I. Kakorin

Since Specialization
Citations

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

Fields of papers citing papers by I. Kakorin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

13 of 13 papers shown
1.
Vidal, Júlia Tena, C. Andreopoulos, Christopher Barry, et al.. (2022). Hadronization model tuning in GENIE v3. ePubs (Science and Technology Facilities Council, Research Councils UK). 6 indexed citations
2.
Vidal, Júlia Tena, C. Andreopoulos, Adi Ashkenazi, et al.. (2021). Neutrino-nucleon cross-section model tuning in GENIE v3. arXiv (Cornell University). 22 indexed citations
3.
Kakorin, I., Konstantin S. Kuzmin, & V. A. Naumov. (2021). Running axial mass of the nucleon as a phenomenological tool for calculating quasielastic neutrino–nucleus cross sections. The European Physical Journal C. 81(12). 2 indexed citations
5.
Kakorin, I., et al.. (2020). A Method for the Evaluation of the Flow Rate of Cryogenic Two-Phase Flows in Venturi Flowmeters Without Separation. Measurement Techniques. 63(7). 549–558. 4 indexed citations
6.
Kakorin, I., Konstantin S. Kuzmin, & V. A. Naumov. (2020). A Unified Empirical Model for Quasielastic Interactions of Neutrino and Antineutrino with Nuclei. Physics of Particles and Nuclei Letters. 17(3). 265–288. 1 indexed citations
7.
Kakorin, I., et al.. (2017). Monitoring of multiphase flows for superconducting accelerators and others applications. Physics of Particles and Nuclei Letters. 14(4). 602–614. 7 indexed citations
8.
Kakorin, I., et al.. (2016). Approach to monitor large two-phase LNG flows. Flow Measurement and Instrumentation. 52. 163–169. 5 indexed citations
9.
10.
Kakorin, I., et al.. (2014). Two-Phase Flowmeter Based on a Restriction and Gamma Densitometer for Mixtures of Oil and Stratal Water. Measurement Techniques. 56(11). 1248–1256. 3 indexed citations
11.
Kakorin, I., et al.. (2013). New solutions to produce a cryogenic void fraction sensor of round cross-section and its applications. Cryogenics. 57. 55–62. 12 indexed citations
12.
Kakorin, I., et al.. (2013). Influence of temperature on the algorithm to define salty water-in-oil flow characteristics. International Journal of Multiphase Flow. 58. 52–56. 8 indexed citations
13.
Kakorin, I., et al.. (2010). [Effect of malondialdehyde on deformability of human umbilical vein endothelial cells].. PubMed. 96(2). 147–53. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026