Neeraj Kumar Singh
- Computational Theory and Mathematics top 5%
- Software top 5%
- Artificial Intelligence
- Hardware and Architecture top 10%
- Information Systems
- Co-authors
- Domingo MeryA.K. SinghVimal Kumar PathakAndy WellingsDominique MéryAna CavalcantiAlan WassyngMarc Pantel
- Topics
- Formal Methods in Verification (17 papers)Model-Driven Software Engineering Techniques (13 papers)Advanced Software Engineering Methodologies (7 papers)
In The Last Decade
Neeraj Kumar Singh
23 papers receiving 158 citations
Peers
Comparison fields: 5 of 39
- Computational Theory and Mathematics 79
- Software 60
- Artificial Intelligence 50
- Hardware and Architecture 37
- Information Systems 31
Countries citing papers authored by Neeraj Kumar Singh
This map shows the geographic impact of Neeraj Kumar 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 Neeraj Kumar Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neeraj Kumar Singh more than expected).
Fields of papers citing papers by Neeraj Kumar Singh
This network shows the impact of papers produced by Neeraj Kumar 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 Neeraj Kumar Singh. The network helps show where Neeraj Kumar Singh may publish in the future.
Co-authorship network of co-authors of Neeraj Kumar Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Neeraj Kumar Singh. A scholar is included among the top collaborators of Neeraj Kumar Singh 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 Neeraj Kumar Singh. Neeraj Kumar Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | 8 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 26 | |
| 11 | 2 | |
| 12 | 7 | |
| 13 | 2 | |
| 14 | 6 | |
| 15 | 18 | |
| 16 | 15 | |
| 17 | EB2J : Code Generation from Event-B to Java | 3 |
| 18 | EB2C : A Tool for Event-B to C Conversion Support | 6 |
| 19 | Technical Report on Formal Development of Two-Electrode Cardiac Pacing System | 3 |
| 20 | Pacemaker's Functional Behaviors in Event-B | 9 |
About Neeraj Kumar Singh
Neeraj Kumar Singh is a scholar working on Software, Hardware and Architecture and Computational Theory and Mathematics, having authored 27 papers that have together received 170 indexed citations. Recurring topics across this work include Formal Methods in Verification (17 papers), Model-Driven Software Engineering Techniques (13 papers) and Advanced Software Engineering Methodologies (7 papers). The work is most often cited by research in Software (60 citations), Hardware and Architecture (37 citations) and Computational Theory and Mathematics (79 citations). Neeraj Kumar Singh has collaborated with scholars based in France, India and Canada. Frequent co-authors include Domingo Mery, A.K. Singh, Vimal Kumar Pathak, Andy Wellings, Dominique Méry, Ana Cavalcanti, Alan Wassyng, Marc Pantel, Yamine Aït‐Ameur and Mark Lawford. Their work appears in journals such as IEEE Transactions on Reliability, Interacting with Computers and Science of Computer Programming.
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.