R. Kansal

246 total papers · 1.6k total citations
8 papers, 75 citations indexed

About

R. Kansal is a scholar working on Artificial Intelligence, Nuclear and High Energy Physics and Computer Networks and Communications. According to data from OpenAlex, R. Kansal has authored 8 papers receiving a total of 75 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 5 papers in Nuclear and High Energy Physics and 1 paper in Computer Networks and Communications. Recurrent topics in R. Kansal's work include Computational Physics and Python Applications (5 papers), Particle physics theoretical and experimental studies (5 papers) and Particle Detector Development and Performance (3 papers). R. Kansal is often cited by papers focused on Computational Physics and Python Applications (5 papers), Particle physics theoretical and experimental studies (5 papers) and Particle Detector Development and Performance (3 papers). R. Kansal collaborates with scholars based in United States, Switzerland and Brazil. R. Kansal's co-authors include J. Duarte, N. Chernyavskaya, Breno Orzari, M. Pierini, T. R. Fernandez Perez Tomei, Jean-Roch Vlimant, Dimitrios Gunopulos, A. Roy, Philip Harris and M. Quinnan and has published in prestigious journals such as Physical review. D, The European Physical Journal C and Machine Learning Science and Technology.

In The Last Decade

R. Kansal

8 papers receiving 74 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
R. Kansal	54	44	14	6	4	8	75
N. Chernyavskaya	87 1.6×	53 1.2×	12 0.9×	5 0.8×	5 1.3×	13	108
M. Pettee	56 1.0×	32 0.7×	7 0.5×	6 1.0×	8 2.0×	6	95
K. Zoch	63 1.2×	24 0.5×	5 0.4×	3 0.5×	4 1.0×	5	74
W. Korcari	89 1.6×	31 0.7×	17 1.2×	4 0.7×	4 1.0×	7	113
G. Quétant	42 0.8×	16 0.4×	9 0.6×	6 1.0×	6 1.5×	7	67
L. Rustige	67 1.2×	25 0.6×	17 1.2×	4 0.7×	14 3.5×	7	93
T. R. Fernandez Perez Tomei	81 1.5×	31 0.7×	13 0.9×	4 0.7×	30 7.5×	9	92
Ekaterina Govorkova	49 0.9×	45 1.0×	8 0.6×	1 0.2×	13 3.3×	9	94
C. Li	85 1.6×	32 0.7×	5 0.4×	1 0.2×	3 0.8×	9	108
Christian Veelken	34 0.6×	28 0.6×	2 0.1×	2 0.3×	3 0.8×	8	95

Countries citing papers authored by R. Kansal

Since Specialization

Citations

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

Fields of papers citing papers by R. Kansal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Kansal

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

All Works

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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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