Jitendra Kumar Samriya

505 citations
25 papers · 229 · h-index 10

Impact in

Papers in

    • IoT and Edge/Fog Computing 13
    • Network Security and Intrusion Detection 5
    • Distributed and Parallel Computing Systems 2
    • Blockchain Technology Applications and Security 8
    • Cloud Computing and Resource Management 7
    • Internet of Things and AI 3

Jitendra Kumar Samriya

20 papers receiving 220 citations

Peers

Jitendra Kumar Samriya
Comparison fields: 5 of 43
  • Computer Networks and Communications 143
  • Information Systems 97
  • Signal Processing 35
  • Artificial Intelligence 72
  • Computer Vision and Pattern Recognition 28
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Citations per field
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Citations per year

Countries citing papers authored by Jitendra Kumar Samriya

Since Specialization
Citations

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

Fields of papers citing papers by Jitendra Kumar Samriya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jitendra Kumar Samriya. 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 Jitendra Kumar Samriya. The network helps show where Jitendra Kumar Samriya may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202336
2 202232
3 202323
4 202217
5 202217
6 202115
7 202215
8 202413
9 202211
10 202310
11 20228
12 20238
13 20258
14 20204
15 20233
16 20212
17 20232
18 20202
19 20212
20 20231

About Jitendra Kumar Samriya

Jitendra Kumar Samriya is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 25 papers that have together received 229 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (13 papers), Blockchain Technology Applications and Security (8 papers), Cloud Computing and Resource Management (7 papers), Network Security and Intrusion Detection (5 papers), Internet of Things and AI (3 papers), Privacy-Preserving Technologies in Data (3 papers), Brain Tumor Detection and Classification (2 papers) and Distributed and Parallel Computing Systems (2 papers). The work is most often cited by research in Computer Networks and Communications (143 citations), Information Systems (97 citations), Signal Processing (35 citations), Artificial Intelligence (72 citations) and Computer Vision and Pattern Recognition (28 citations). Jitendra Kumar Samriya has collaborated with scholars based in India, United Kingdom and Taiwan. Frequent co-authors include Mohit Kumar, Sukhpal Singh Gill, Rajeev Tiwari, Huaming Wu, Aditi Sharma, Chinmay Chakraborty, Kalka Dubey, Xiaochun Cheng, Achyut Shankar and Rahul Kumar Singh. Their work appears in journals such as IEEE Transactions on Consumer Electronics, Alexandria Engineering Journal, Journal of Enterprise Information Management, Journal of Ambient Intelligence and Humanized Computing and Electronics.

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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