Harish Kumar Shakya
- Artificial Intelligence
- Information Systems top 10%
- Statistical and Nonlinear Physics
- Computational Theory and Mathematics top 10%
- Computer Networks and Communications
- Co-authors
- Bhaskar BiswasKuldeep SinghShashank Sheshar SinghAjay KumarFrancesco BenedettoSaurabh SharmaGyanendra KumarSumendra Yogarayan
- Topics
- Complex Network Analysis Techniques (8 papers)Data Mining Algorithms and Applications (5 papers)Recommender Systems and Techniques (5 papers)
- Partner nations
- IndiaUnited Arab EmiratesMalaysia
In The Last Decade
Harish Kumar Shakya
24 papers receiving 150 citations
Peers
Comparison fields: 5 of 41
- Artificial Intelligence 81
- Information Systems 72
- Statistical and Nonlinear Physics 36
- Computational Theory and Mathematics 36
- Computer Networks and Communications 29
Countries citing papers authored by Harish Kumar Shakya
This map shows the geographic impact of Harish Kumar Shakya'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 Harish Kumar Shakya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Harish Kumar Shakya more than expected).
Fields of papers citing papers by Harish Kumar Shakya
This network shows the impact of papers produced by Harish Kumar Shakya. 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 Harish Kumar Shakya. The network helps show where Harish Kumar Shakya may publish in the future.
Co-authorship network of co-authors of Harish Kumar Shakya
This figure shows the co-authorship network connecting the top 25 collaborators of Harish Kumar Shakya. A scholar is included among the top collaborators of Harish Kumar Shakya 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 Harish Kumar Shakya. Harish Kumar Shakya 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 | 1 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | 4 | |
| 11 | 10 | |
| 12 | 0 | |
| 13 | 5 | |
| 14 | 3 | |
| 15 | 17 | |
| 16 | 25 | |
| 17 | 7 | |
| 18 | 18 | |
| 19 | 5 | |
| 20 | 1 |
About Harish Kumar Shakya
Harish Kumar Shakya is a scholar working on Information Systems, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 29 papers that have together received 156 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (8 papers), Data Mining Algorithms and Applications (5 papers) and Recommender Systems and Techniques (5 papers). The work is most often cited by research in Information Systems (72 citations), Statistical and Nonlinear Physics (36 citations) and Artificial Intelligence (81 citations). Harish Kumar Shakya has collaborated with scholars based in India, United Arab Emirates and Malaysia. Frequent co-authors include Bhaskar Biswas, Kuldeep Singh, Shashank Sheshar Singh, Ajay Kumar, Francesco Benedetto, Saurabh Sharma, Gyanendra Kumar, Sumendra Yogarayan, Vandana Roy and Ashish Mishra. Their work appears in journals such as Expert Systems with Applications, IEEE Access and ACM Computing Surveys.
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.