Manavendra Misra
- Artificial Intelligence top 10%
- Management Science and Operations Research top 10%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Environmental Engineering
- Co-authors
- Brad W. WarnerViktor K. PrasannaV. K. Prasanna-KumarDavid NassimiChad W. FarrisV. Krishna Kumar
- Topics
- Neural Networks and Applications (7 papers)Parallel Computing and Optimization Techniques (3 papers)Face and Expression Recognition (3 papers)
- Partner nations
- United States
In The Last Decade
Manavendra Misra
14 papers receiving 426 citations
Peers
Comparison fields: 5 of 113
- Artificial Intelligence 139
- Management Science and Operations Research 68
- Computer Vision and Pattern Recognition 62
- Electrical and Electronic Engineering 49
- Environmental Engineering 48
Countries citing papers authored by Manavendra Misra
This map shows the geographic impact of Manavendra Misra'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 Manavendra Misra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manavendra Misra more than expected).
Fields of papers citing papers by Manavendra Misra
This network shows the impact of papers produced by Manavendra Misra. 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 Manavendra Misra. The network helps show where Manavendra Misra may publish in the future.
Co-authorship network of co-authors of Manavendra Misra
This figure shows the co-authorship network connecting the top 25 collaborators of Manavendra Misra. A scholar is included among the top collaborators of Manavendra Misra 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 Manavendra Misra. Manavendra Misra 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 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 22 | |
| 7 | 21 | |
| 8 | Parallel Environments for Implementing Neural Networks | 10 |
| 9 | 196 | |
| 10 | 176 | |
| 11 | Computation of 2-D Wavelet Transforms on the Connection Machine-2 | 6 |
| 12 | 9 | |
| 13 | 7 | |
| 14 | Efficient VLSI implementation of iterative solutions to sparse linear systems | 8 |
| 15 | 3 |
About Manavendra Misra
Manavendra Misra is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition and Signal Processing, having authored 15 papers that have together received 466 indexed citations. Recurring topics across this work include Neural Networks and Applications (7 papers), Parallel Computing and Optimization Techniques (3 papers) and Face and Expression Recognition (3 papers). The work is most often cited by research in Management Science and Operations Research (68 citations), Artificial Intelligence (139 citations) and Environmental Engineering (48 citations). Manavendra Misra has collaborated with scholars based in United States. Frequent co-authors include Brad W. Warner, Viktor K. Prasanna, V. K. Prasanna-Kumar, David Nassimi, Chad W. Farris and V. Krishna Kumar. Their work appears in journals such as The American Statistician, Mathematical and Computer Modelling and Parallel Computing.
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.