Mahesh Mehendale
- Signal Processing top 5%
- Hardware and Architecture top 5%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Computational Theory and Mathematics top 5%
- Co-authors
- S.D. SherlekarG. VenkateshR. GovindarajanKaushik RoyBharadwaj AmruturMadhukar BudagaviA.V. RaoMihir Mody
- Topics
- Parallel Computing and Optimization Techniques (15 papers)Digital Filter Design and Implementation (13 papers)Low-power high-performance VLSI design (11 papers)
- Journals
- IEEE Internet of Things JournalIEEE Transactions on Circuits and Systems for Video TechnologyIEEE Transactions on Very Large Scale Integration (VLSI) Systems
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
Mahesh Mehendale
41 papers receiving 476 citations
Peers
Comparison fields: 5 of 32
- Signal Processing 229
- Hardware and Architecture 218
- Electrical and Electronic Engineering 199
- Computer Networks and Communications 137
- Computational Theory and Mathematics 129
Countries citing papers authored by Mahesh Mehendale
This map shows the geographic impact of Mahesh Mehendale'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 Mahesh Mehendale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mahesh Mehendale more than expected).
Fields of papers citing papers by Mahesh Mehendale
This network shows the impact of papers produced by Mahesh Mehendale. 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 Mahesh Mehendale. The network helps show where Mahesh Mehendale may publish in the future.
Co-authorship network of co-authors of Mahesh Mehendale
This figure shows the co-authorship network connecting the top 25 collaborators of Mahesh Mehendale. A scholar is included among the top collaborators of Mahesh Mehendale 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 Mahesh Mehendale. Mahesh Mehendale is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 52 | |
| 7 | 9 | |
| 8 | 33 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 9 | |
| 13 | 4 | |
| 14 | 38 | |
| 15 | 25 | |
| 16 | 6 | |
| 17 | 11 | |
| 18 | 11 | |
| 19 | 60 | |
| 20 | 1 |
About Mahesh Mehendale
Mahesh Mehendale is a scholar working on Hardware and Architecture, Signal Processing and Computational Theory and Mathematics, having authored 47 papers that have together received 509 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (15 papers), Digital Filter Design and Implementation (13 papers) and Low-power high-performance VLSI design (11 papers). The work is most often cited by research in Hardware and Architecture (218 citations), Signal Processing (229 citations) and Computational Theory and Mathematics (129 citations). Mahesh Mehendale has collaborated with scholars based in India, United States and Australia. Frequent co-authors include S.D. Sherlekar, G. Venkatesh, R. Govindarajan, Kaushik Roy, Bharadwaj Amrutur, Madhukar Budagavi, A.V. Rao, Mihir Mody, V. Srinivasa Chakravarthy and Vipul Singhal. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Very Large Scale Integration (VLSI) Systems.
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.