Neeraj Kumar Goyal
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Software top 2%
- Information Systems top 5%
- Safety, Risk, Reliability and Quality top 5%
- Co-authors
- Sieteng SohSudipta MahapatraRajib MallSanjay K. ChaturvediV.N.A. NaikanAshutosh AggarwalChinmaya PanigrahyDave Dykstra
- Topics
- Software Reliability and Analysis Research (29 papers)Software Engineering Research (18 papers)Reliability and Maintenance Optimization (17 papers)
In The Last Decade
Neeraj Kumar Goyal
64 papers receiving 581 citations
Peers
Comparison fields: 5 of 66
- Computer Networks and Communications 258
- Electrical and Electronic Engineering 242
- Software 199
- Information Systems 167
- Safety, Risk, Reliability and Quality 119
Countries citing papers authored by Neeraj Kumar Goyal
This map shows the geographic impact of Neeraj Kumar Goyal'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 Goyal 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 Goyal more than expected).
Fields of papers citing papers by Neeraj Kumar Goyal
This network shows the impact of papers produced by Neeraj Kumar Goyal. 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 Goyal. The network helps show where Neeraj Kumar Goyal may publish in the future.
Co-authorship network of co-authors of Neeraj Kumar Goyal
This figure shows the co-authorship network connecting the top 25 collaborators of Neeraj Kumar Goyal. A scholar is included among the top collaborators of Neeraj Kumar Goyal 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 Goyal. Neeraj Kumar Goyal 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 | 6 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 7 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 19 | |
| 12 | 9 | |
| 13 | 6 | |
| 14 | 20 | |
| 15 | Subset Cut Enumeration of Flow Networks with Imperfect Nodes | 4 |
| 16 | Early Prediction of Software Fault-Prone Module using Artificial Neural Network | 10 |
| 17 | Comments on An Efficient Method based on Self-Generating Disjoint Minimal Cut-Sets for Evaluating Reliability Measures of Interconnection Networks | 4 |
| 18 | 4 | |
| 19 | 4 | |
| 20 | 3 |
About Neeraj Kumar Goyal
Neeraj Kumar Goyal is a scholar working on Software, Safety, Risk, Reliability and Quality and Hardware and Architecture, having authored 69 papers that have together received 622 indexed citations. Recurring topics across this work include Software Reliability and Analysis Research (29 papers), Software Engineering Research (18 papers) and Reliability and Maintenance Optimization (17 papers). The work is most often cited by research in Software (199 citations), Safety, Risk, Reliability and Quality (119 citations) and Computer Networks and Communications (258 citations). Neeraj Kumar Goyal has collaborated with scholars based in India, Australia and Greece. Frequent co-authors include Sieteng Soh, Sudipta Mahapatra, Rajib Mall, Sanjay K. Chaturvedi, V.N.A. Naikan, Ashutosh Aggarwal, Chinmaya Panigrahy, Dave Dykstra, R. Trentadue and Aakanksha Tewari. Their work appears in journals such as Reliability Engineering & System Safety, IEEE Sensors Journal and Neural Computing and Applications.
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.