Mahantesh Halappanavar
- Computer Networks and Communications top 2%
- Artificial Intelligence top 5%
- Statistical and Nonlinear Physics top 2%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Co-authors
- Ananth KalyanaramanHao LuAntonino TumeoAlex PothenAssefaw H. GebremedhinArif KhanSayan GhoshFredrik Manne
- Topics
- Complex Network Analysis Techniques (37 papers)Graph Theory and Algorithms (26 papers)Caching and Content Delivery (17 papers)
- Cited by
- Statistical and Nonlinear PhysicsHardware and ArchitectureComputer Networks and Communications
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsGeophysical Research Letters
- Partner nations
- United StatesNorwayUnited Kingdom
In The Last Decade
Mahantesh Halappanavar
102 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 98
- Computer Networks and Communications 439
- Artificial Intelligence 330
- Statistical and Nonlinear Physics 314
- Computer Vision and Pattern Recognition 264
- Information Systems 165
Countries citing papers authored by Mahantesh Halappanavar
This map shows the geographic impact of Mahantesh Halappanavar'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 Mahantesh Halappanavar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mahantesh Halappanavar more than expected).
Fields of papers citing papers by Mahantesh Halappanavar
This network shows the impact of papers produced by Mahantesh Halappanavar. 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 Mahantesh Halappanavar. The network helps show where Mahantesh Halappanavar may publish in the future.
Co-authorship network of co-authors of Mahantesh Halappanavar
This figure shows the co-authorship network connecting the top 25 collaborators of Mahantesh Halappanavar. A scholar is included among the top collaborators of Mahantesh Halappanavar 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 Mahantesh Halappanavar. Mahantesh Halappanavar 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 | 4 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 68 | |
| 8 | 6 | |
| 9 | 7 | |
| 10 | 2 | |
| 11 | 15 | |
| 12 | 25 | |
| 13 | 6 | |
| 14 | 5 | |
| 15 | 5 | |
| 16 | 12 | |
| 17 | 6 | |
| 18 | 4 | |
| 19 | 14 | |
| 20 | 14 |
About Mahantesh Halappanavar
Mahantesh Halappanavar is a scholar working on Statistical and Nonlinear Physics, Hardware and Architecture and Computer Networks and Communications, having authored 108 papers that have together received 1.1k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (37 papers), Graph Theory and Algorithms (26 papers) and Caching and Content Delivery (17 papers). The work is most often cited by research in Statistical and Nonlinear Physics (314 citations), Hardware and Architecture (146 citations) and Computer Networks and Communications (439 citations). Mahantesh Halappanavar has collaborated with scholars based in United States, Norway and United Kingdom. Frequent co-authors include Ananth Kalyanaraman, Hao Lu, Antonino Tumeo, Alex Pothen, Assefaw H. Gebremedhin, Arif Khan, Sayan Ghosh, Fredrik Manne, Daniel Chavarría-Miranda and Ananth Kalyanaraman. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Geophysical Research Letters.
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.