Nishant Doshi

1.5k citations
82 papers · 1.1k · h-index 19

Impact in

Papers in

Nishant Doshi

67 papers receiving 1000 citations

Peers

Nishant Doshi
Comparison fields: 5 of 103
  • Information Systems 396
  • Computer Networks and Communications 391
  • Computer Vision and Pattern Recognition 229
  • Signal Processing 107
  • Artificial Intelligence 310
Replace Håkan Grahn with:
Håkan Grahn Sweden
Karan Mitra Sweden
Asma Adnane United Kingdom
Alexandru Vulpe Romania
Yanni Yang China
Floriano Scioscia Italy
Octavian Fratu Romania
Amirreza Niakanlahiji United States
Antonino Galletta Italy
Hairulnizam Mahdin Malaysia
Nishant Doshi relative to Håkan Grahn Sweden Håkan Grahn's profile →
Citations per field
00.5×1.6×
Håkan Grahn · 1×
Citations per year

Countries citing papers authored by Nishant Doshi

Since Specialization
Citations

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

Fields of papers citing papers by Nishant Doshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Nishant Doshi, 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 Nishant Doshi Line = papers co-authored together Nishant Doshi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019200
2 201993
3 202054
4 201948
5 201942
6 201939
7 201938
8 201938
9 201832
10 201332
11 202128
12 201228
13 201928
14 202026
15 201723
16 201922
17 201920
18 201920
19 201619
20 201918

About Nishant Doshi

Nishant Doshi is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 82 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cryptography and Data Security (17 papers), IoT and Edge/Fog Computing (17 papers), Advanced Authentication Protocols Security (13 papers), User Authentication and Security Systems (13 papers), Privacy-Preserving Technologies in Data (12 papers), Complexity and Algorithms in Graphs (8 papers), Blockchain Technology Applications and Security (7 papers) and Advanced Steganography and Watermarking Techniques (7 papers). The work is most often cited by research in Information Systems (396 citations), Computer Networks and Communications (391 citations), Computer Vision and Pattern Recognition (229 citations), Signal Processing (107 citations) and Artificial Intelligence (310 citations). Nishant Doshi has collaborated with scholars based in India, United Kingdom and Slovenia. Frequent co-authors include Chintan Patel, Devesh C. Jinwala, Trupil Limbasiya, Vipin Shukla, Shakti Mishra, Dheerendra Mishra, Devansh Shah, Arun Kumar Sangaiah, Rutvij H. Jhaveri and Devanshi Shah. Their work appears in journals such as Computer Networks, IEEE Access, Sadhana, IEEE Transactions on Power Systems and Wireless Personal Communications.

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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