Khushboo Singhal
Impact in
-
- scientometrics and bibliometrics research
Papers in
- Co-authors
- Vivek Kumar Singh (6 shared papers)Sumit Kumar Banshal (5 shared papers)Ashraf Uddin (5 shared papers)Aparna Basu (1 shared paper)Parth Gupta (3 shared papers)Prasenjit Majumder (2 shared papers)Harsh Yadav (1 shared paper)Anina James (1 shared paper)
- Journals
- Scientometrics (2 papers)Genome Biology and Evolution (1 paper)NAR Genomics and Bioinformatics (1 paper)Journal of Materials Science (1 paper)Scientific Reports (1 paper)
- Partner nations
- IndiaSpainUnited States
In The Last Decade
Khushboo Singhal
14 papers receiving 130 citations
Peers
Comparison fields: 5 of 66
- Statistics, Probability and Uncertainty 24
- Health Informatics 3
- Management Information Systems 18
- Safety Research 13
- Computer Science Applications 8
Countries citing papers authored by Khushboo Singhal
This map shows the geographic impact of Khushboo Singhal'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 Khushboo Singhal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khushboo Singhal more than expected).
Fields of papers citing papers by Khushboo Singhal
This network shows the impact of papers produced by Khushboo Singhal. 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 Khushboo Singhal. The network helps show where Khushboo Singhal may publish in the future.
Co-authors
The 25 scholars most cited alongside Khushboo Singhal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 42 | |
| 2 | 2016 | 23 | |
| 3 | 2023 | 16 | |
| 4 | External & Intrinsic Plagiarism Detection : VSM & Discourse Markers based Approach Notebook for PAN at CLEF 2011 | 2011 | 15 |
| 5 | 2014 | 10 | |
| 6 | 2020 | 8 | |
| 7 | 2021 | 5 | |
| 8 | 2014 | 4 | |
| 9 | 2015 | 4 | |
| 10 | 2015 | 4 | |
| 11 | 2022 | 3 | |
| 12 | Detection of Paraphrastic Cases of Mono-lingual and Cross-lingual Plagiarism | 2011 | 3 |
| 13 | 2022 | 2 | |
| 14 | Multiword Named Entities Extraction from Cross-Language Text Re-use | 2012 | 1 |
About Khushboo Singhal
Khushboo Singhal is a scholar working on Molecular Biology, Information Systems, Artificial Intelligence, Computer Science Applications and Statistics, Probability and Uncertainty, having authored 14 papers that have together received 140 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (3 papers), Topic Modeling (3 papers), scientometrics and bibliometrics research (3 papers), Online Learning and Analytics (3 papers), Academic integrity and plagiarism (1 paper), Antimicrobial Peptides and Activities (1 paper), Advanced Sensor and Energy Harvesting Materials (1 paper) and Indian Economic and Social Development (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (24 citations), Health Informatics (3 citations), Management Information Systems (18 citations), Safety Research (13 citations) and Computer Science Applications (8 citations). Khushboo Singhal has collaborated with scholars based in India, Spain and United States. Frequent co-authors include Vivek Kumar Singh, Sumit Kumar Banshal, Ashraf Uddin, Aparna Basu, Parth Gupta, Prasenjit Majumder, Harsh Yadav, Anina James, Mitali Mukerji and Rintu Kutum. Their work appears in journals such as Scientometrics, Genome Biology and Evolution, NAR Genomics and Bioinformatics, Journal of Materials Science and Scientific Reports.
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.