Rajeev Rajaram

36 papers receiving 341 citations

Peers

Rajeev Rajaram
Comparison fields: 5 of 84
  • Mathematical Physics 59
  • Modeling and Simulation 28
  • Control and Systems Engineering 139
  • Statistical and Nonlinear Physics 61
  • Computational Theory and Mathematics 77
Replace Marco Ferrante with:
Marco Ferrante Italy
Leszek Gawarecki United States
David E. Penney United States
Marina Kleptsyna France
John A. D. Appleby Ireland
Michael Kohlmann Germany
Salah Mohammed United States
Levon Nurbekyan United States
Hua Xu Japan
Élisabeth Gassiat France
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Citations per year

Countries citing papers authored by Rajeev Rajaram

Since Specialization
Citations

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

Fields of papers citing papers by Rajeev Rajaram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Rajeev Rajaram, 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 Rajeev Rajaram Line = papers co-authored together Rajeev Rajaram links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201031
2 201729
3 200727
4 201224
5 201619
6 200518
7 200618
8 200916
9 201616
10 201215
11 201215
12 201513
13 200912
14 201012
15 201410
16 201510
17 20169
18 20159
19 20078
20 20148

About Rajeev Rajaram

Rajeev Rajaram is a scholar working on Control and Systems Engineering, Statistical and Nonlinear Physics, Computational Theory and Mathematics, Mathematical Physics and Economics and Econometrics, having authored 38 papers that have together received 368 indexed citations. Recurring topics across this work include Stability and Controllability of Differential Equations (11 papers), Advanced Mathematical Modeling in Engineering (9 papers), Advanced Mathematical Physics Problems (6 papers), Numerical methods for differential equations (5 papers), Economic and Technological Innovation (4 papers), Model Reduction and Neural Networks (4 papers), Quantum chaos and dynamical systems (3 papers) and Fractional Differential Equations Solutions (3 papers). The work is most often cited by research in Mathematical Physics (59 citations), Modeling and Simulation (28 citations), Control and Systems Engineering (139 citations), Statistical and Nonlinear Physics (61 citations) and Computational Theory and Mathematics (77 citations). Rajeev Rajaram has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Brian Castellani, Umesh Vaidya, Scott W. Hansen, Makan Fardad, S. Dasgupta, Baskar Ganapathysubramanian, Jane Gunn, Frances Griffiths, K. Latha and Frederic W. Hafferty. Their work appears in journals such as Complexity, Journal of Mathematical Analysis and Applications, Physica A Statistical Mechanics and its Applications, Applied Mathematics and Computation and International Journal of Control.

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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