Nasib Singh Gill
- Artificial Intelligence top 5%
- Information Systems top 2%
- Computer Networks and Communications top 5%
- Software top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Preeti GuliaP. S. GroverJyotir Moy ChatterjeePradeep TomarIshaani PriyadarshiniPiyush Kumar ShuklaWei‐Chiang HongPradeep Kumar Singh
- Topics
- Software Engineering Research (17 papers)Network Security and Intrusion Detection (17 papers)Advanced Software Engineering Methodologies (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsIEEE Access
- Partner nations
- IndiaSaudi ArabiaUnited States
In The Last Decade
Nasib Singh Gill
106 papers receiving 818 citations
Peers
Comparison fields: 5 of 95
- Artificial Intelligence 352
- Information Systems 336
- Computer Networks and Communications 273
- Software 131
- Computer Vision and Pattern Recognition 129
Countries citing papers authored by Nasib Singh Gill
This map shows the geographic impact of Nasib Singh Gill'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 Nasib Singh Gill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nasib Singh Gill more than expected).
Fields of papers citing papers by Nasib Singh Gill
This network shows the impact of papers produced by Nasib Singh Gill. 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 Nasib Singh Gill. The network helps show where Nasib Singh Gill may publish in the future.
Co-authorship network of co-authors of Nasib Singh Gill
This figure shows the co-authorship network connecting the top 25 collaborators of Nasib Singh Gill. A scholar is included among the top collaborators of Nasib Singh Gill based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nasib Singh Gill. Nasib Singh Gill is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 3 | |
| 4 | 14 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 11 | |
| 11 | 14 | |
| 12 | 3 | |
| 13 | 3 | |
| 14 | 8 | |
| 15 | 8 | |
| 16 | 16 | |
| 17 | 5 | |
| 18 | 22 | |
| 19 | 0 | |
| 20 | Data Mining Techniques: A Key for detection of Financial Statement Fraud | 4 |
About Nasib Singh Gill
Nasib Singh Gill is a scholar working on Software, Information Systems and Artificial Intelligence, having authored 123 papers that have together received 912 indexed citations. Recurring topics across this work include Software Engineering Research (17 papers), Network Security and Intrusion Detection (17 papers) and Advanced Software Engineering Methodologies (13 papers). The work is most often cited by research in Software (131 citations), Information Systems (336 citations) and Computer Networks and Communications (273 citations). Nasib Singh Gill has collaborated with scholars based in India, Saudi Arabia and United States. Frequent co-authors include Preeti Gulia, P. S. Grover, Jyotir Moy Chatterjee, Pradeep Tomar, Ishaani Priyadarshini, Piyush Kumar Shukla, Wei‐Chiang Hong, Pradeep Kumar Singh, Giovanni Pau and Fabio Arena. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.
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.