Pradeep Tomar
Impact in
- Software top 5%
- Software Reliability and Analysis Research
- Software Testing and Debugging Techniques
- Information Systems top 5%
- Software Engineering Research
- Software Engineering Techniques and Practices
Papers in
-
- Software Engineering Research 29
- Software Engineering Techniques and Practices 11
- Software 27
- Software Reliability and Analysis Research 26
- Software Testing and Debugging Techniques 12
- Co-authors
- Arpit Bhardwaj (8 shared papers)Harshit Bhardwaj (6 shared papers)Aditi Sakalle (6 shared papers)Deepak Panwar (8 shared papers)Nasib Singh Gill (4 shared papers)Arun Solanki (3 shared papers)Anand Nayyar (3 shared papers)Supriya Goel (3 shared papers)
In The Last Decade
Pradeep Tomar
67 papers receiving 523 citations
Peers
Comparison fields: 5 of 106
- Software 141
- Information Systems 163
- Signal Processing 55
- Experimental and Cognitive Psychology 53
- Cognitive Neuroscience 71
Countries citing papers authored by Pradeep Tomar
This map shows the geographic impact of Pradeep Tomar'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 Pradeep Tomar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pradeep Tomar more than expected).
Fields of papers citing papers by Pradeep Tomar
This network shows the impact of papers produced by Pradeep Tomar. 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 Pradeep Tomar. The network helps show where Pradeep Tomar may publish in the future.
Co-authors
The 25 scholars most cited alongside Pradeep Tomar, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 57 | |
| 2 | 2019 | 46 | |
| 3 | 2019 | 40 | |
| 4 | 2022 | 32 | |
| 5 | 2018 | 23 | |
| 6 | 2021 | 20 | |
| 7 | 2022 | 19 | |
| 8 | 2018 | 19 | |
| 9 | 2016 | 17 | |
| 10 | 2018 | 16 | |
| 11 | 2022 | 15 | |
| 12 | 2017 | 14 | |
| 13 | 2010 | 13 | |
| 14 | 2016 | 13 | |
| 15 | 2024 | 13 | |
| 16 | 2022 | 12 | |
| 17 | 2020 | 12 | |
| 18 | 2013 | 11 | |
| 19 | 2016 | 11 | |
| 20 | 2020 | 10 |
About Pradeep Tomar
Pradeep Tomar is a scholar working on Information Systems, Software, Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 67 papers that have together received 553 indexed citations. Recurring topics across this work include Software Engineering Research (29 papers), Software Reliability and Analysis Research (26 papers), Software Testing and Debugging Techniques (12 papers), Advanced Software Engineering Methodologies (11 papers), Software Engineering Techniques and Practices (11 papers), EEG and Brain-Computer Interfaces (6 papers), Software System Performance and Reliability (6 papers) and Emotion and Mood Recognition (6 papers). The work is most often cited by research in Software (141 citations), Information Systems (163 citations), Signal Processing (55 citations), Experimental and Cognitive Psychology (53 citations) and Cognitive Neuroscience (71 citations). Pradeep Tomar has collaborated with scholars based in India, Vietnam and Ethiopia. Frequent co-authors include Arpit Bhardwaj, Harshit Bhardwaj, Aditi Sakalle, Deepak Panwar, Nasib Singh Gill, Arun Solanki, Anand Nayyar, Supriya Goel, Gurjit Kaur and Om Prakash Sangwan. Their work appears in journals such as Computational Intelligence and Neuroscience, IEEE Access, Expert Systems with Applications, Indian Journal of Science and Technology and Applied Intelligence.
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.