Bhaskar Pant

100 papers receiving 770 citations

Peers

Bhaskar Pant
Comparison fields: 5 of 107
  • Computer Networks and Communications 172
  • Health Information Management 31
  • Artificial Intelligence 207
  • Computer Vision and Pattern Recognition 120
  • Signal Processing 57
Replace Bhabani Shankar Prasad Mishra with:
Bhabani Shankar Prasad Mishra India
Sara A. Althubiti Saudi Arabia
Xiaofan Cheng China
Nisreen Innab Saudi Arabia
Majed Mohammed Aborokbah Saudi Arabia
Mohammed A. Al Ghamdi Saudi Arabia
Mengshu Hou China
Heba G. Mohamed Saudi Arabia
Sultan Alfarhood Saudi Arabia
Mahmoud Ahmad Al‐Khasawneh Saudi Arabia
Bhaskar Pant relative to Bhabani Shankar Prasad Mishra India Bhabani Shankar Prasad Mishra's profile →
Citations per field
00.5×2×2.9×
Bhabani Shankar Prasad Mishra · 1×
Citations per year

Countries citing papers authored by Bhaskar Pant

Since Specialization
Citations

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

Fields of papers citing papers by Bhaskar Pant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bhaskar Pant, 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 Bhaskar Pant Line = papers co-authored together Bhaskar Pant links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022105
2 202236
3 202235
4 202228
5 201528
6 202227
7 202126
8 202226
9 199325
10 202222
11 202119
12 202119
13 202218
14 202217
15 202016
16 202115
17 201614
18 202214
19 201813
20 201913

About Bhaskar Pant

Bhaskar Pant is a scholar working on Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 108 papers that have together received 804 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (20 papers), Cloud Computing and Resource Management (9 papers), Data Mining Algorithms and Applications (7 papers), COVID-19 diagnosis using AI (7 papers), Advanced Image and Video Retrieval Techniques (7 papers), Blockchain Technology Applications and Security (6 papers), Advanced Text Analysis Techniques (6 papers) and Multimodal Machine Learning Applications (6 papers). The work is most often cited by research in Computer Networks and Communications (172 citations), Health Information Management (31 citations), Artificial Intelligence (207 citations), Computer Vision and Pattern Recognition (120 citations) and Signal Processing (57 citations). Bhaskar Pant has collaborated with scholars based in India, Ethiopia and United States. Frequent co-authors include Vikas Tripathi, Deepak Upadhyay, Noor Mohd, Pallavi Tiwari, Devesh Pratap Singh, Vijay Kumar Singh, Parul Madan, Manoj Diwakar, Avadh Kishor and Priya Matta. Their work appears in journals such as Computational Intelligence and Neuroscience, Human-centric Computing and Information Sciences, IEEE Transactions on Consumer Electronics, Wireless Personal Communications and Multimedia Tools and 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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