Prashant Johri
Impact in
- Software top 10%
- Information Systems top 5%
- Blockchain Technology Applications and Security
- Software Engineering Research
Papers in
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- Software Engineering Research 10
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- IoT and Edge/Fog Computing 12
- Co-authors
- Suyel Namasudra (1 shared paper)Sanjoy Das (8 shared papers)Amir H. Gandomi (1 shared paper)Ganesh Chandra Deka (1 shared paper)Sunil Kumar Khatri (12 shared papers)Ahmed A. Elngar (2 shared papers)Arun Kumar (5 shared papers)Sandeep Kumar (3 shared papers)
In The Last Decade
Prashant Johri
101 papers receiving 759 citations
Peers
Comparison fields: 5 of 111
- Software 37
- Information Systems 212
- Health Information Management 41
- Computer Vision and Pattern Recognition 144
- Neurology 58
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 129 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 108 | |
| 2 | 2023 | 56 | |
| 3 | 2016 | 41 | |
| 4 | 2021 | 36 | |
| 5 | 2017 | 34 | |
| 6 | 2021 | 29 | |
| 7 | 2021 | 23 | |
| 8 | 2018 | 20 | |
| 9 | 2017 | 18 | |
| 10 | 2023 | 17 | |
| 11 | Survey on steganography methods (text, image, audio, video, protocol and network steganography) | 2016 | 16 |
| 12 | 2015 | 14 | |
| 13 | 2020 | 14 | |
| 14 | 2025 | 13 | |
| 15 | 2023 | 13 | |
| 16 | 2014 | 13 | |
| 17 | 2016 | 13 | |
| 18 | 2020 | 13 | |
| 19 | 2025 | 10 | |
| 20 | 2021 | 10 |
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 129 papers that have together received 820 indexed citations. Recurring topics across this work include Software Reliability and Analysis Research (14 papers), IoT and Edge/Fog Computing (12 papers), Smart Agriculture and AI (12 papers), Brain Tumor Detection and Classification (12 papers), Software Engineering Research (10 papers), Advanced Neural Network Applications (10 papers), IoT-based Smart Home Systems (8 papers) and COVID-19 diagnosis using AI (7 papers). The work is most often cited by research in Software (37 citations), Information Systems (212 citations), Health Information Management (41 citations), Computer Vision and Pattern Recognition (144 citations) and Neurology (58 citations). Prashant Johri has collaborated with scholars based in India, Egypt and Italy. Frequent co-authors include Suyel Namasudra, Sanjoy Das, Amir H. Gandomi, 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, Soft Computing, IEEE Access and Frontiers in Plant Science.
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.