Deepak Sharma
Impact in
- Software top 10%
- Software Reliability and Analysis Research
- Media Technology top 10%
- Remote-Sensing Image Classification
Papers in
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- Software System Performance and Reliability 5
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- Software Engineering Research 10
- Co-authors
- Pravin Chandra (9 shared papers)Pritesh Shah (4 shared papers)Ravi Sekhar (4 shared papers)Syam Machinathu Parambil Gangadharan (2 shared papers)Jagendra Singh (1 shared paper)Chandra Shekhar Yadav (1 shared paper)Hazra Imran (1 shared paper)Anjali Goswami (1 shared paper)
- Journals
- Mobile Networks and Applications (2 papers)Electronics (1 paper)Multimedia Tools and Applications (1 paper)Frontiers in Mechanical Engineering (1 paper)International Journal of Systems Assurance Engineering and Management (1 paper)
- Partner nations
- IndiaSaudi ArabiaUnited States
In The Last Decade
Deepak Sharma
34 papers receiving 254 citations
Peers
Comparison fields: 5 of 73
- Software 39
- Media Technology 33
- Information Systems 61
- Signal Processing 29
- Space and Planetary Science 3
Countries citing papers authored by Deepak Sharma
This map shows the geographic impact of Deepak Sharma'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 Deepak Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepak Sharma more than expected).
Fields of papers citing papers by Deepak Sharma
This network shows the impact of papers produced by Deepak Sharma. 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 Deepak Sharma. The network helps show where Deepak Sharma may publish in the future.
Co-authors
The 25 scholars most cited alongside Deepak Sharma, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 76 | |
| 2 | 2020 | 20 | |
| 3 | 2018 | 19 | |
| 4 | 2022 | 19 | |
| 5 | 2021 | 14 | |
| 6 | 2012 | 12 | |
| 7 | 2023 | 12 | |
| 8 | 2010 | 10 | |
| 9 | 2019 | 8 | |
| 10 | 2019 | 7 | |
| 11 | 2018 | 7 | |
| 12 | 2023 | 6 | |
| 13 | 2023 | 6 | |
| 14 | 2018 | 6 | |
| 15 | 2023 | 4 | |
| 16 | 2020 | 4 | |
| 17 | 2015 | 4 | |
| 18 | 2020 | 4 | |
| 19 | 2019 | 3 | |
| 20 | 2017 | 3 |
About Deepak Sharma
Deepak Sharma is a scholar working on Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, Software and Artificial Intelligence, having authored 39 papers that have together received 267 indexed citations. Recurring topics across this work include Software Engineering Research (10 papers), Software Reliability and Analysis Research (9 papers), Software System Performance and Reliability (5 papers), Industrial Vision Systems and Defect Detection (4 papers), Advanced Malware Detection Techniques (3 papers), Machine Fault Diagnosis Techniques (3 papers), Non-Destructive Testing Techniques (3 papers) and Medical Image Segmentation Techniques (3 papers). The work is most often cited by research in Software (39 citations), Media Technology (33 citations), Information Systems (61 citations), Signal Processing (29 citations) and Space and Planetary Science (3 citations). Deepak Sharma has collaborated with scholars based in India, Saudi Arabia and United States. Frequent co-authors include Pravin Chandra, Pritesh Shah, Ravi Sekhar, Syam Machinathu Parambil Gangadharan, Jagendra Singh, Chandra Shekhar Yadav, Hazra Imran, Anjali Goswami, Saroj Kumar Sahu and Manoj Kumar Pradhan. Their work appears in journals such as Mobile Networks and Applications, Electronics, Multimedia Tools and Applications, Frontiers in Mechanical Engineering and International Journal of Systems Assurance Engineering and Management.
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.