Punit Sharma

1.1k citations
7 papers · 52 indexed · h-index 4

Impact in

Papers in

Punit Sharma

7 papers receiving 48 citations

Peers

Punit Sharma
Comparison fields: 5 of 20
  • Nuclear and High Energy Physics 29
  • Astronomy and Astrophysics 25
  • Statistical and Nonlinear Physics 13
  • Computer Networks and Communications 19
  • Geometry and Topology 3
Replace Daniele Gregori with:
Daniele Gregori Italy
D. Yu United States
D. P. Yallup United Kingdom
Christopher Sean Rogan United States
K. Patton United States
Damiano Tommasini Italy
Marco Bonici Italy
Vito Conforti Italy
Humberto Reyes-González Germany
Conor Durkan United Kingdom
Punit Sharma relative to Daniele Gregori Italy Daniele Gregori's profile →
Citations per field
00.5×1.5×
Daniele Gregori · 1×
Citations per year

Countries citing papers authored by Punit Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Punit Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Punit Sharma, 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 Punit Sharma Line = papers co-authored together Punit Sharma links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 202329
2 20057
3 20106
4 20153
5 20143
6 20153
7 20231

About Punit Sharma

Punit Sharma is a scholar working on Computer Networks and Communications, Astronomy and Astrophysics, Artificial Intelligence, Nuclear and High Energy Physics and Mathematical Physics, having authored 7 papers that have together received 52 indexed citations. Recurring topics across this work include Mobile Ad Hoc Networks (3 papers), Black Holes and Theoretical Physics (2 papers), Security in Wireless Sensor Networks (2 papers), Cosmology and Gravitation Theories (2 papers), Opportunistic and Delay-Tolerant Networks (2 papers), Advanced Authentication Protocols Security (1 paper), Cooperative Communication and Network Coding (1 paper) and Noncommutative and Quantum Gravity Theories (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (29 citations), Astronomy and Astrophysics (25 citations), Statistical and Nonlinear Physics (13 citations), Computer Networks and Communications (19 citations) and Geometry and Topology (3 citations). Punit Sharma has collaborated with scholars based in India, Taiwan and Japan. Frequent co-authors include Aritra Banerjee, Sudipta Dutta, Arjun Bagchi, Partha Sarathi Mandal, Anchit Bijalwan, Dheeraj Sanghi, Emmanuel S. Pilli, Sanjay Tiwari, Himanshu Gupta and Gautam Sengupta. Their work appears in journals such as Journal of High Energy Physics, Journal of Physics A Mathematical and Theoretical and International Journal of Computer Applications.

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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