Alok Kumar Shukla
- Artificial Intelligence top 2%
- Molecular Biology
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 10%
- Computational Theory and Mathematics top 5%
- Co-authors
- Manu VardhanPradeep SinghDiwakar TripathiChandramohan DhasarathanSarsij TripathiPradeep Kumar SinghSanjeev Kumar PippalAshraf Hossain
- Topics
- Gene expression and cancer classification (18 papers)Evolutionary Algorithms and Applications (13 papers)Network Security and Intrusion Detection (9 papers)
- Partner nations
- IndiaItalyUnited Kingdom
In The Last Decade
Alok Kumar Shukla
46 papers receiving 866 citations
Peers
Comparison fields: 5 of 89
- Artificial Intelligence 583
- Molecular Biology 359
- Computer Networks and Communications 196
- Computer Vision and Pattern Recognition 126
- Computational Theory and Mathematics 92
Countries citing papers authored by Alok Kumar Shukla
This map shows the geographic impact of Alok Kumar Shukla'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 Alok Kumar Shukla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alok Kumar Shukla more than expected).
Fields of papers citing papers by Alok Kumar Shukla
This network shows the impact of papers produced by Alok Kumar Shukla. 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 Alok Kumar Shukla. The network helps show where Alok Kumar Shukla may publish in the future.
Co-authorship network of co-authors of Alok Kumar Shukla
This figure shows the co-authorship network connecting the top 25 collaborators of Alok Kumar Shukla. A scholar is included among the top collaborators of Alok Kumar Shukla 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 Alok Kumar Shukla. Alok Kumar Shukla 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 | 2 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 25 | |
| 6 | 29 | |
| 7 | 64 | |
| 8 | 11 | |
| 9 | Some contributions in estimation of asymptotic regression statistical models | 1 |
| 10 | 31 | |
| 11 | 49 | |
| 12 | 25 | |
| 13 | 27 | |
| 14 | 58 | |
| 15 | 4 | |
| 16 | 9 | |
| 17 | 8 | |
| 18 | Honeypots : Fighting Against Spam | 1 |
| 19 | 5 | |
| 20 | 2 |
About Alok Kumar Shukla
Alok Kumar Shukla is a scholar working on Artificial Intelligence, Computer Networks and Communications and Accounting, having authored 49 papers that have together received 917 indexed citations. Recurring topics across this work include Gene expression and cancer classification (18 papers), Evolutionary Algorithms and Applications (13 papers) and Network Security and Intrusion Detection (9 papers). The work is most often cited by research in Artificial Intelligence (583 citations), Computer Networks and Communications (196 citations) and Signal Processing (77 citations). Alok Kumar Shukla has collaborated with scholars based in India, Italy and United Kingdom. Frequent co-authors include Manu Vardhan, Pradeep Singh, Diwakar Tripathi, Chandramohan Dhasarathan, Sarsij Tripathi, Pradeep Kumar Singh, Sanjeev Kumar Pippal, Ashraf Hossain, Annushree Bablani and Damodar Reddy Edla. Their work appears in journals such as Nucleic Acids Research, Scientific Reports and Information Sciences.
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.