Nilima Nigam

51 papers receiving 919 citations

Peers

Nilima Nigam
Comparison fields: 5 of 125
  • Orthopedics and Sports Medicine 174
  • Mathematical Physics 64
  • Computational Mechanics 140
  • Numerical Analysis 33
  • Modeling and Simulation 25
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Lewis Wheeler United States
Václav Klika Czechia
Jürgen Geiser Germany
Hilmi Demı́ray Türkiye
S. Sivaloganathan Canada
Dean Chou Taiwan
Ramesh Venkatesan India
R. J. Atkin United Kingdom
Martin Seebaß Germany
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Citations per year

Countries citing papers authored by Nilima Nigam

Since Specialization
Citations

This map shows the geographic impact of Nilima Nigam'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 Nilima Nigam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nilima Nigam more than expected).

Fields of papers citing papers by Nilima Nigam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nilima Nigam. 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 Nilima Nigam. The network helps show where Nilima Nigam may publish in the future.

Co-authors

The 25 scholars most cited alongside Nilima Nigam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nilima Nigam Line = papers co-authored together Nilima Nigam links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015183
2 200883
3 200263
4 201043
5 200541
6 200839
7 201139
8 201539
9 202034
10
200534
11 200333
12 201526
13 201425
14 201124
15 201823
16 202021
17 201121
18 201819
19 200619
20 201118

About Nilima Nigam

Nilima Nigam is a scholar working on Computational Mechanics, Biomedical Engineering, Mechanics of Materials, Mathematical Physics and Computational Theory and Mathematics, having authored 54 papers that have together received 959 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (12 papers), Numerical methods in engineering (10 papers), Electromagnetic Simulation and Numerical Methods (10 papers), Electromagnetic Scattering and Analysis (9 papers), Muscle activation and electromyography studies (8 papers), Advanced Mathematical Modeling in Engineering (7 papers), Numerical methods in inverse problems (6 papers) and Advanced Numerical Analysis Techniques (4 papers). The work is most often cited by research in Orthopedics and Sports Medicine (174 citations), Mathematical Physics (64 citations), Computational Mechanics (140 citations), Numerical Analysis (33 citations) and Modeling and Simulation (25 citations). Nilima Nigam has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include James M. Wakeling, Hadi Rahemi, Svetlana V. Komarova, Marc D. Ryser, Debra Lewis, David P. Nicholls, Joel Phillips, Stephanie A. Ross, George C. Hsiao and M.A.N. Dewapriya. Their work appears in journals such as Journal of Computational Physics, Frontiers in Physiology, SIAM Journal on Applied Mathematics, Journal of Computational and Applied Mathematics and Computers & Mathematics with Applications.

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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