Prashant Johri
Impact in
- Software top 10%
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- Artificial Intelligence in Healthcare
Papers in
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- Software Engineering Research 10
- Blockchain Technology Applications and Security 8
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- IoT and Edge/Fog Computing 13
- Co-authors
- Sanjoy Das (8 shared papers)Amir H. Gandomi (1 shared paper)Suyel Namasudra (1 shared paper)Ganesh Chandra Deka (1 shared paper)Sunil Kumar Khatri (12 shared papers)Ahmed A. Elngar (3 shared papers)Arun Kumar (5 shared papers)Sandeep Kumar (3 shared papers)
- Journals
- Scientific Reports (4 papers)Archives of Computational Methods in Engineering (2 papers)Life (1 paper)PLoS ONE (1 paper)IEEE Access (1 paper)
- Partner nations
- IndiaEgyptSaudi Arabia
In The Last Decade
Prashant Johri
110 papers receiving 837 citations
Peers
Comparison fields: 5 of 111
- Software 37
- Health Information Management 41
- Information Systems 213
- Neurology 68
- Health Informatics 10
Countries citing papers authored by Prashant Johri
This map shows the geographic impact of Prashant Johri'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 Prashant Johri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prashant Johri more than expected).
Fields of papers citing papers by Prashant Johri
This network shows the impact of papers produced by Prashant Johri. 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 Prashant Johri. The network helps show where Prashant Johri may publish in the future.
Co-authors
The 25 scholars most cited alongside Prashant Johri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 138 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 109 | |
| 2 | 2023 | 65 | |
| 3 | 2016 | 41 | |
| 4 | 2021 | 39 | |
| 5 | 2017 | 34 | |
| 6 | 2021 | 29 | |
| 7 | 2021 | 25 | |
| 8 | 2025 | 20 | |
| 9 | 2017 | 20 | |
| 10 | 2018 | 20 | |
| 11 | 2023 | 20 | |
| 12 | 2025 | 17 | |
| 13 | 2023 | 17 | |
| 14 | Survey on steganography methods (text, image, audio, video, protocol and network steganography) | 2016 | 16 |
| 15 | 2014 | 15 | |
| 16 | 2020 | 14 | |
| 17 | 2015 | 14 | |
| 18 | 2025 | 13 | |
| 19 | 2020 | 13 | |
| 20 | 2016 | 13 |
About Prashant Johri
Prashant Johri is a scholar working on Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering, having authored 138 papers that have together received 897 indexed citations. Recurring topics across this work include Software Reliability and Analysis Research (15 papers), IoT and Edge/Fog Computing (13 papers), Smart Agriculture and AI (13 papers), Brain Tumor Detection and Classification (12 papers), Advanced Neural Network Applications (10 papers), Software Engineering Research (10 papers), IoT-based Smart Home Systems (9 papers) and Blockchain Technology Applications and Security (8 papers). The work is most often cited by research in Software (37 citations), Health Information Management (41 citations), Information Systems (213 citations), Neurology (68 citations) and Health Informatics (10 citations). Prashant Johri has collaborated with scholars based in India, Egypt and Saudi Arabia. Frequent co-authors include Sanjoy Das, Amir H. Gandomi, Suyel Namasudra, Ganesh Chandra Deka, Sunil Kumar Khatri, Ahmed A. Elngar, Arun Kumar, Sandeep Kumar, Udayan Chanda and J. Singh. Their work appears in journals such as Scientific Reports, Archives of Computational Methods in Engineering, Life, PLoS ONE and IEEE Access.
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.