K. Datta

1.7k total citations
3 papers, 74 citations indexed

About

K. Datta is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, K. Datta has authored 3 papers receiving a total of 74 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Nuclear and High Energy Physics, 2 papers in Artificial Intelligence and 0 papers in Infectious Diseases. Recurrent topics in K. Datta's work include Particle physics theoretical and experimental studies (3 papers), Computational Physics and Python Applications (2 papers) and Gaussian Processes and Bayesian Inference (1 paper). K. Datta is often cited by papers focused on Particle physics theoretical and experimental studies (3 papers), Computational Physics and Python Applications (2 papers) and Gaussian Processes and Bayesian Inference (1 paper). K. Datta collaborates with scholars based in United States, Switzerland and India. K. Datta's co-authors include Andrew J. Larkoski, Benjamin Nachman, S. Basu and Tapan K. Nayak and has published in prestigious journals such as Journal of High Energy Physics, Physical review. D and Physical review. C.

In The Last Decade

K. Datta

3 papers receiving 74 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
K. Datta United States	3	70	22	7	4	3	3	74
D. Krücker Germany	4	47 0.7×	15 0.7×	3 0.4×	3 0.8×	7 2.3×	17	61
Justin Pilot Germany	2	149 2.1×	18 0.8×	3 0.4×	3 0.8×	6 2.0×	2	155
S. Ganguly Japan	5	43 0.6×	11 0.5×	6 0.9×	1 0.3×	4 1.3×	6	53
J. Dittmann United States	4	47 0.7×	16 0.7×	4 0.6×	4 1.0×	1 0.3×	7	57
P. Gras France	4	91 1.3×	10 0.5×	2 0.3×	6 1.5×	4 1.3×	8	103
Michael Benjamin Andrews United States	5	44 0.6×	17 0.8×	10 1.4×	4 1.0×		11	57
R. Zhang United States	5	62 0.9×	10 0.5×	2 0.3×	4 1.0×	4 1.3×	9	67
M. Feindt Germany	6	91 1.3×	17 0.8×	3 0.4×	4 1.0×		13	117
C. Biscarat France	4	24 0.3×	15 0.7×	3 0.4×	5 1.3×	3 1.0×	6	42
J. Thompson Germany	5	119 1.7×	15 0.7×	3 0.4×	6 1.5×	15 5.0×	10	127

Countries citing papers authored by K. Datta

Since Specialization

Citations

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

Fields of papers citing papers by K. Datta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Datta

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

All Works

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3 of 3 papers shown

1.

Datta, K., Andrew J. Larkoski, & Benjamin Nachman. (2019). Automating the construction of jet observables with machine learning. Physical review. D. 100(9). 26 indexed citations

2.

Datta, K. & Andrew J. Larkoski. (2018). Novel jet observables from machine learning. Journal of High Energy Physics. 2018(3). 38 indexed citations

3.

Basu, S., Tapan K. Nayak, & K. Datta. (2016). Beam energy dependence of pseudorapidity distributions of charged particles produced in relativistic heavy-ion collisions. Physical review. C. 93(6). 10 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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