K.K. Aggarwal
- Software top 0.2%
- Safety, Risk, Reliability and Quality top 0.2%
- Information Systems top 1%
- Statistics, Probability and Uncertainty top 0.5%
- Computer Networks and Communications top 2%
- Co-authors
- Yogesh SinghJ. S. GuptaK.B. MisraSuresh RaiY.C. ChopraRuchika MalhotraJoginder S. BajwaArvinder Kaur
- Topics
- Software Reliability and Analysis Research (46 papers)Reliability and Maintenance Optimization (37 papers)Software Engineering Research (25 papers)
- Partner nations
- IndiaUnited StatesCanada
In The Last Decade
K.K. Aggarwal
127 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 127
- Software 1.1k
- Safety, Risk, Reliability and Quality 859
- Information Systems 728
- Statistics, Probability and Uncertainty 492
- Computer Networks and Communications 471
Countries citing papers authored by K.K. Aggarwal
This map shows the geographic impact of K.K. Aggarwal'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 K.K. Aggarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K.K. Aggarwal more than expected).
Fields of papers citing papers by K.K. Aggarwal
This network shows the impact of papers produced by K.K. Aggarwal. 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 K.K. Aggarwal. The network helps show where K.K. Aggarwal may publish in the future.
Co-authorship network of co-authors of K.K. Aggarwal
This figure shows the co-authorship network connecting the top 25 collaborators of K.K. Aggarwal. A scholar is included among the top collaborators of K.K. Aggarwal 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 K.K. Aggarwal. K.K. Aggarwal 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 | 2 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 7 | |
| 7 | 22 | |
| 8 | VLA/realfast localization and deep imaging of FRB 20201124A | 1 |
| 9 | 12 | |
| 10 | The NANOGrav 11 yr Data Set: Limits on Gravitational Wave Memory | 30 |
| 11 | 69 | |
| 12 | VLA/realfast detection of burst from FRB180916.J0158+65 | 0 |
| 13 | The NANOGrav 11 yr Data Set: Limits on Gravitational Waves from Individual Supermassive Black Hole Binaries | 31 |
| 14 | 24 | |
| 15 | 12 | |
| 16 | A Revisit to Clustering Techniques with its Application in Agriculture Sector | 1 |
| 17 | 23 | |
| 18 | Available Bit Rate: A Novel Handover Initiation Criterion | 1 |
| 19 | 62 | |
| 20 | 6 |
About K.K. Aggarwal
K.K. Aggarwal is a scholar working on Software, Safety, Risk, Reliability and Quality and Hardware and Architecture, having authored 142 papers that have together received 2.7k indexed citations. Recurring topics across this work include Software Reliability and Analysis Research (46 papers), Reliability and Maintenance Optimization (37 papers) and Software Engineering Research (25 papers). The work is most often cited by research in Software (1.1k citations), Safety, Risk, Reliability and Quality (859 citations) and Statistics, Probability and Uncertainty (492 citations). K.K. Aggarwal has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Yogesh Singh, J. S. Gupta, K.B. Misra, Suresh Rai, Y.C. Chopra, Ruchika Malhotra, Joginder S. Bajwa, Arvinder Kaur, Jitender Kumar Chhabra and J. L. Gupta. Their work appears in journals such as Journal of Clinical Oncology, The Astrophysical Journal and Technometrics.
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.