P. Sarma

13.3k total citations
4 papers, 14 citations indexed

About

P. Sarma is a scholar working on Nuclear and High Energy Physics, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, P. Sarma has authored 4 papers receiving a total of 14 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Nuclear and High Energy Physics, 1 paper in Environmental Engineering and 1 paper in Global and Planetary Change. Recurrent topics in P. Sarma's work include Quantum Chromodynamics and Particle Interactions (3 papers), Particle physics theoretical and experimental studies (3 papers) and High-Energy Particle Collisions Research (3 papers). P. Sarma is often cited by papers focused on Quantum Chromodynamics and Particle Interactions (3 papers), Particle physics theoretical and experimental studies (3 papers) and High-Energy Particle Collisions Research (3 papers). P. Sarma collaborates with scholars based in India. P. Sarma's co-authors include B. Bhattacharjee and Kandarpa Kumar Sarma and has published in prestigious journals such as The European Physical Journal A, Physical review. C and Neural Processing Letters.

In The Last Decade

P. Sarma

4 papers receiving 14 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Sarma India 3 8 4 4 3 2 4 14
R. Singh India 3 10 1.3× 3 0.8× 2 0.7× 6 16
S. King United Kingdom 2 9 1.1× 2 0.5× 3 1.0× 3 14
Jorge Velasco Spain 3 6 0.8× 3 0.8× 1 0.5× 5 19
C. Naumann Germany 3 6 0.8× 2 0.7× 2 1.0× 6 15
J. Walding United Kingdom 3 13 1.6× 2 0.5× 1 0.3× 4 18
Juan Miguel Carceller Spain 3 5 0.6× 2 0.5× 5 7
Mike Williams Australia 2 20 2.5× 4 1.0× 1 0.5× 2 25
H. P. Peng China 3 2 0.3× 3 0.8× 1 0.3× 4 1.3× 1 0.5× 3 10
C. Ghag United Kingdom 1 5 0.6× 2 0.7× 2 9
T. Wright United Kingdom 3 5 0.6× 2 0.7× 1 0.5× 3 9

Countries citing papers authored by P. Sarma

Since Specialization
Citations

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

Fields of papers citing papers by P. Sarma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Sarma

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

All Works

4 of 4 papers shown
1.
2.
Sarma, P., et al.. (2022). Flood Frequency Modeling and Prediction of Beki and Pagladia Rivers Using Deep Learning Approach. Neural Processing Letters. 54(4). 3263–3282. 6 indexed citations
4.
Sarma, P.. (2017). Identified particle production as a function of multiplicity in proton-proton collisions at $\sqrt{s} $ = 7 TeV using the ALICE detector. CERN Bulletin. 62. 814–815. 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.

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