Pradeep Singh
Impact in
- Software top 2%
- Software Reliability and Analysis Research
- Health Information Management top 0.5%
- Artificial Intelligence in Healthcare
Papers in
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- Imbalanced Data Classification Techniques 12
-
- Software Engineering Research 27
- Co-authors
- Manu Vardhan (15 shared papers)Alok Kumar Shukla (14 shared papers)Namrata Singh (10 shared papers)Naresh Kumar Nagwani (8 shared papers)Shrish Verma (8 shared papers)O. P. Vyas (3 shared papers)Dilip Singh Sisodia (13 shared papers)Nikhil R. Pal (1 shared paper)
- Journals
- Expert Systems with Applications (4 papers)Multimedia Tools and Applications (3 papers)Journal of Intelligent & Fuzzy Systems (3 papers)Frontiers in Physiology (2 papers)Journal of Energy Storage (2 papers)
- Partner nations
- IndiaChinaSaudi Arabia
In The Last Decade
Pradeep Singh
114 papers receiving 1.5k citations
Pradeep Singh's Hit Papers
Peers
Comparison fields: 5 of 134
- Software 210
- Health Information Management 161
- Artificial Intelligence 763
- Information Systems 379
- Computer Vision and Pattern Recognition 216
Countries citing papers authored by Pradeep Singh
This map shows the geographic impact of Pradeep Singh'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 Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pradeep Singh more than expected).
Fields of papers citing papers by Pradeep Singh
This network shows the impact of papers produced by Pradeep Singh. 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 Singh. The network helps show where Pradeep Singh may publish in the future.
Co-authors
The 25 scholars most cited alongside Pradeep Singh, 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 127 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Impact of word embedding models on text analytics in deep learning environment: a review Hit paper breakdown → | 2023 | 127 |
| 2 | 2019 | 96 | |
| 3 | 2019 | 83 | |
| 4 | 2019 | 81 | |
| 5 | 2021 | 80 | |
| 6 | 2016 | 74 | |
| 7 | 2020 | 66 | |
| 8 | 2018 | 61 | |
| 9 | 2018 | 59 | |
| 10 | 2019 | 52 | |
| 11 | 2019 | 44 | |
| 12 | 2019 | 39 | |
| 13 | 2021 | 32 | |
| 14 | 2019 | 30 | |
| 15 | 2021 | 29 | |
| 16 | 2021 | 26 | |
| 17 | 2018 | 24 | |
| 18 | 2020 | 24 | |
| 19 | 2022 | 23 | |
| 20 | 2019 | 22 |
About Pradeep Singh
Pradeep Singh is a scholar working on Artificial Intelligence, Information Systems, Software, Computer Vision and Pattern Recognition and Molecular Biology, having authored 127 papers that have together received 1.6k indexed citations. Recurring topics across this work include Software Engineering Research (27 papers), Software Reliability and Analysis Research (23 papers), Artificial Intelligence in Healthcare (13 papers), Imbalanced Data Classification Techniques (12 papers), Machine Learning in Bioinformatics (12 papers), Software System Performance and Reliability (10 papers), Gene expression and cancer classification (10 papers) and Software Testing and Debugging Techniques (10 papers). The work is most often cited by research in Software (210 citations), Health Information Management (161 citations), Artificial Intelligence (763 citations), Information Systems (379 citations) and Computer Vision and Pattern Recognition (216 citations). Pradeep Singh has collaborated with scholars based in India, China and Saudi Arabia. Frequent co-authors include Manu Vardhan, Alok Kumar Shukla, Namrata Singh, Naresh Kumar Nagwani, Shrish Verma, O. P. Vyas, Dilip Singh Sisodia, Nikhil R. Pal, Maheshkumar H. Kolekar and Sudeep Tanwar. Their work appears in journals such as Expert Systems with Applications, Multimedia Tools and Applications, Journal of Intelligent & Fuzzy Systems, Frontiers in Physiology and Journal of Energy Storage.
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.