Manish Malhotra
- Computational Theory and Mathematics top 5%
- Atomic and Molecular Physics, and Optics
- Electrical and Electronic Engineering
- Computational Mechanics top 10%
- Mechanics of Materials
- Co-authors
- Roland W. FreundPeter M. PinskyAndrew ReibmanKishor S. TrivediJogesh K. MuppalaAssad A. OberaiMarcus WagnerGonzalo R. Feijóo
- Topics
- Electromagnetic Scattering and Analysis (10 papers)Numerical methods in engineering (6 papers)Electromagnetic Simulation and Numerical Methods (5 papers)
- Journals
- The Journal of the Acoustical Society of AmericaComputer Methods in Applied Mechanics and EngineeringInternational Journal for Numerical Methods in Engineering
- Partner nations
- United StatesHong KongAustralia
In The Last Decade
Manish Malhotra
17 papers receiving 345 citations
Peers
Comparison fields: 5 of 50
- Computational Theory and Mathematics 146
- Atomic and Molecular Physics, and Optics 102
- Electrical and Electronic Engineering 86
- Computational Mechanics 74
- Mechanics of Materials 69
Countries citing papers authored by Manish Malhotra
This map shows the geographic impact of Manish Malhotra'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 Manish Malhotra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manish Malhotra more than expected).
Fields of papers citing papers by Manish Malhotra
This network shows the impact of papers produced by Manish Malhotra. 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 Manish Malhotra. The network helps show where Manish Malhotra may publish in the future.
Co-authorship network of co-authors of Manish Malhotra
This figure shows the co-authorship network connecting the top 25 collaborators of Manish Malhotra. A scholar is included among the top collaborators of Manish Malhotra 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 Manish Malhotra. Manish Malhotra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 1 | |
| 3 | 12 | |
| 4 | 13 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 15 | |
| 8 | 35 | |
| 9 | 10 | |
| 10 | 119 | |
| 11 | 35 | |
| 12 | 16 | |
| 13 | 5 | |
| 14 | 61 | |
| 15 | 2 | |
| 16 | 45 | |
| 17 | Specification and Solution of Dependability Models of Fault-tolerant Systems | 1 |
About Manish Malhotra
Manish Malhotra is a scholar working on Atomic and Molecular Physics, and Optics, Statistics, Probability and Uncertainty and Development, having authored 17 papers that have together received 381 indexed citations. Recurring topics across this work include Electromagnetic Scattering and Analysis (10 papers), Numerical methods in engineering (6 papers) and Electromagnetic Simulation and Numerical Methods (5 papers). The work is most often cited by research in Numerical Analysis (61 citations), Computational Theory and Mathematics (146 citations) and Software (34 citations). Manish Malhotra has collaborated with scholars based in United States, Hong Kong and Australia. Frequent co-authors include Roland W. Freund, Peter M. Pinsky, Andrew Reibman, Kishor S. Trivedi, Jogesh K. Muppala, Assad A. Oberai, Marcus Wagner, Gonzalo R. Feijóo, Karl Grosh and Zahir Tari. Their work appears in journals such as The Journal of the Acoustical Society of America, Computer Methods in Applied Mechanics and Engineering and International Journal for Numerical Methods in Engineering.
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.