Manavendra Misra

670 total citations
15 papers, 466 citations indexed

About

Manavendra Misra is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Manavendra Misra has authored 15 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Computational Theory and Mathematics. Recurrent topics in Manavendra Misra's work include Neural Networks and Applications (7 papers), Parallel Computing and Optimization Techniques (3 papers) and Face and Expression Recognition (3 papers). Manavendra Misra is often cited by papers focused on Neural Networks and Applications (7 papers), Parallel Computing and Optimization Techniques (3 papers) and Face and Expression Recognition (3 papers). Manavendra Misra collaborates with scholars based in United States. Manavendra Misra's co-authors include Brad W. Warner, Viktor K. Prasanna, V. K. Prasanna-Kumar, David Nassimi, Chad W. Farris and V. Krishna Kumar and has published in prestigious journals such as The American Statistician, Mathematical and Computer Modelling and Parallel Computing.

In The Last Decade

Manavendra Misra

14 papers receiving 426 citations

Peers

Manavendra Misra

AI

MSOR

CVPR

EEE

EE

John Fulcher Australia

Yi Du Canada

Luai Al-Shalabi Kuwait

Kevin L. Priddy United States

Victor L. Berardi United States

R. Frank United Kingdom

Héctor Allende Chile

Hanen Borchani Spain

Alex Aussem France

John Fulcher Australia

Manavendra Misra

153 ×1.1

AI

39 ×0.6

MSOR

56 ×0.9

CVPR

50 ×1.0

EEE

44 ×0.9

EE

Citations per year, relative to Manavendra Misra Manavendra Misra (= 1×) peers John Fulcher

Countries citing papers authored by Manavendra Misra

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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15 of 15 papers shown

1.

Misra, Manavendra & Viktor K. Prasanna. (2003). Parallel computation of 2-D wavelet transforms. 93. 111–114.

2.

Misra, Manavendra, et al.. (2002). Iteratively reweighted least squares based learning. 2. 1327–1331. 1 indexed citations

3.

Misra, Manavendra & V. Krishna Kumar. (2002). Massive memory organizations for implementing neural networks. ii. 259–264. 1 indexed citations

4.

Misra, Manavendra, et al.. (2001). Load balanced parallel QR decomposition on shared memory multiprocessors. Parallel Computing. 27(10). 1321–1345. 2 indexed citations

5.

Farris, Chad W. & Manavendra Misra. (1998). Distributed algebraic multigrid for finite element computations. Mathematical and Computer Modelling. 27(8). 41–67. 4 indexed citations

6.

Misra, Manavendra, et al.. (1998). Coarse-Grained Parallel Algorithms for Multi-Dimensional Wavelet Transforms. The Journal of Supercomputing. 12(1-2). 99–118. 22 indexed citations

7.

Misra, Manavendra, et al.. (1998). A graph isomorphism algorithm for object recognition. Pattern Analysis and Applications. 1(3). 189–201. 21 indexed citations

8.

Misra, Manavendra. (1997). Parallel Environments for Implementing Neural Networks. 10 indexed citations

9.

Warner, Brad W. & Manavendra Misra. (1996). Understanding Neural Networks as Statistical Tools. The American Statistician. 50(4). 284–284. 196 indexed citations

10.

Misra, Manavendra, et al.. (1996). Understanding Neural Networks as Statistical Tools. The American Statistician. 50(4). 284–293. 176 indexed citations

11.

Misra, Manavendra, et al.. (1994). Computation of 2-D Wavelet Transforms on the Connection Machine-2. 3–12. 6 indexed citations

12.

Misra, Manavendra, David Nassimi, & Viktor K. Prasanna. (1993). Efficient VLSI implementation of iterative solutions to sparse linear systems. Parallel Computing. 19(5). 525–544. 9 indexed citations

13.

Misra, Manavendra & Viktor K. Prasanna. (1992). Implementation of neural networks on massive memory organizations. IEEE Transactions on Circuits and Systems II Analog and Digital Signal Processing. 39(7). 476–480. 7 indexed citations

14.

Misra, Manavendra & V. K. Prasanna-Kumar. (1990). Efficient VLSI implementation of iterative solutions to sparse linear systems. Prentice-Hall, Inc eBooks. 52–61. 8 indexed citations

15.

Misra, Manavendra & V. Krishna Kumar. (1990). <title>Neural network simulation on a reduced-mesh-of-trees organization</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1246. 263–274. 3 indexed citations

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.

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