Puneet Garg

747 total citations
40 papers, 287 citations indexed

About

Puneet Garg is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Puneet Garg has authored 40 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 9 papers in Computer Vision and Pattern Recognition and 9 papers in Artificial Intelligence. Recurrent topics in Puneet Garg's work include Opportunistic and Delay-Tolerant Networks (6 papers), IoT and Edge/Fog Computing (4 papers) and Face recognition and analysis (3 papers). Puneet Garg is often cited by papers focused on Opportunistic and Delay-Tolerant Networks (6 papers), IoT and Edge/Fog Computing (4 papers) and Face recognition and analysis (3 papers). Puneet Garg collaborates with scholars based in India, Russia and United States. Puneet Garg's co-authors include Neetu Sharma, Sonal, Sachin Kumar, Plácido Rogério Pinheiro, Bharti Nagpal, Pratima Sharma, Christopher Fung, Monica Colvin, K. Shankar and Yash Veer Singh and has published in prestigious journals such as Transplantation, Multimedia Tools and Applications and Journal of Electronic Materials.

In The Last Decade

Puneet Garg

28 papers receiving 271 citations

Peers

Puneet Garg
Comparison fields: 5 of 65
  • Artificial Intelligence 90
  • Computer Networks and Communications 70
  • Computer Vision and Pattern Recognition 69
  • Infectious Diseases 46
  • Information Systems 40
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Navid Hoseini Izadi Iran
Isha Mahajan India
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Mohd Zuhair India
Yaru Hao China
Ajay Kumar Singh India
Rodolfo M. Pereira Brazil
Sidra Abbas Pakistan
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Citations per field, relative to Puneet Garg
Puneet Garg · 1×
Citations per year, relative to Puneet Garg
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Countries citing papers authored by Puneet Garg

Since Specialization
Citations

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

Fields of papers citing papers by Puneet Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Puneet Garg

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 0
5 0
6 0
7 0
8 0
9 5
10 12
11 32
12 11
13 19
14 2
15 6
16 21
17 15
18
Structuring bailouts during COVID-19
1
19 0
20
Capacity Improvement of WI-MAX In presence of Different Codes WI-MAX: Speed & Scope of future
1

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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