K. Datta

1.7k citations
3 papers · 74 · h-index 3

Impact in

    • Particle physics theoretical and experimental studies
    • High-Energy Particle Collisions Research
    • Quantum Chromodynamics and Particle Interactions
    • Particle Detector Development and Performance
    • Astrophysics and Cosmic Phenomena
    • Computational Physics and Python Applications

Papers in

    • Particle physics theoretical and experimental studies 3
    • Quantum Chromodynamics and Particle Interactions 1
    • Astrophysics and Cosmic Phenomena 1
    • High-Energy Particle Collisions Research 1
    • Computational Physics and Python Applications 2
    • Gaussian Processes and Bayesian Inference 1

K. Datta

3 papers receiving 74 citations

Peers

K. Datta
Comparison fields: 5 of 15
  • Nuclear and High Energy Physics 70
  • Artificial Intelligence 22
  • Radiology, Nuclear Medicine and Imaging 7
  • Astronomy and Astrophysics 3
  • Computer Networks and Communications 4
Replace D. Krücker with:
D. Krücker Germany
J. Dittmann United States
Breno Orzari Switzerland
S. Ganguly Japan
Michael Benjamin Andrews United States
T. Todorov Switzerland
Justin Pilot Germany
O. Amram United States
A. Coccaro Italy
N. Moretti Switzerland
K. Datta relative to D. Krücker Germany D. Krücker's profile →
Citations per field
00.5×
D. Krücker · 1×
Citations per year

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-authors

The 4 scholars most cited alongside K. Datta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with K. Datta Line = papers co-authored together K. Datta links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown

About K. Datta

K. Datta is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence, Infectious Diseases, Organic Chemistry and Surgery, having authored 3 papers that have together received 74 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (3 papers), Computational Physics and Python Applications (2 papers), Quantum Chromodynamics and Particle Interactions (1 paper), Astrophysics and Cosmic Phenomena (1 paper), Gaussian Processes and Bayesian Inference (1 paper) and High-Energy Particle Collisions Research (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (70 citations), Artificial Intelligence (22 citations), Radiology, Nuclear Medicine and Imaging (7 citations), Astronomy and Astrophysics (3 citations) and Computer Networks and Communications (4 citations). K. Datta has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include Andrew J. Larkoski, Benjamin Nachman, Tapan K. Nayak and S. Basu. Their work appears in journals such as Physical review. C, Physical review. D and Journal of High Energy Physics.

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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