Rajeev Rajaram

893 total citations
38 papers, 359 citations indexed

About

Rajeev Rajaram is a scholar working on Control and Systems Engineering, Statistical and Nonlinear Physics and Computational Theory and Mathematics. According to data from OpenAlex, Rajeev Rajaram has authored 38 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Control and Systems Engineering, 11 papers in Statistical and Nonlinear Physics and 10 papers in Computational Theory and Mathematics. Recurrent topics in Rajeev Rajaram's work include Stability and Controllability of Differential Equations (11 papers), Advanced Mathematical Modeling in Engineering (9 papers) and Advanced Mathematical Physics Problems (6 papers). Rajeev Rajaram is often cited by papers focused on Stability and Controllability of Differential Equations (11 papers), Advanced Mathematical Modeling in Engineering (9 papers) and Advanced Mathematical Physics Problems (6 papers). Rajeev Rajaram collaborates with scholars based in United States, United Kingdom and Australia. Rajeev Rajaram's co-authors include Brian Castellani, Umesh Vaidya, Scott W. Hansen, Makan Fardad, Baskar Ganapathysubramanian, S. Dasgupta, K. Latha, Frederic W. Hafferty, Michael Ball and Jane Gunn and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Physica A Statistical Mechanics and its Applications and Systems & Control Letters.

In The Last Decade

Rajeev Rajaram

36 papers receiving 334 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rajeev Rajaram United States 13 139 77 61 59 36 38 359
Hua Xu Japan 14 356 2.6× 164 2.1× 30 0.5× 7 0.1× 23 0.6× 120 662
John A. D. Appleby Ireland 13 316 2.3× 143 1.9× 91 1.5× 105 1.8× 15 0.4× 69 703
Salah Mohammed United States 8 246 1.8× 136 1.8× 46 0.8× 78 1.3× 20 0.6× 18 590
Marco Ferrante Italy 13 65 0.5× 50 0.6× 30 0.5× 42 0.7× 101 2.8× 43 432
Leszek Gawarecki United States 6 57 0.4× 47 0.6× 22 0.4× 49 0.8× 10 0.3× 15 252
Chunrong Feng United Kingdom 9 85 0.6× 49 0.6× 27 0.4× 62 1.1× 12 0.3× 24 249
Nigel J. Newton United Kingdom 9 53 0.4× 51 0.7× 117 1.9× 33 0.6× 92 2.6× 23 496
Michael M. Danziger Israel 13 30 0.2× 23 0.3× 450 7.4× 31 0.5× 18 0.5× 24 713
Łukasz Stettner Poland 14 120 0.9× 69 0.9× 34 0.6× 30 0.5× 47 1.3× 72 487
Nicolas Bouleau France 9 28 0.2× 130 1.7× 38 0.6× 278 4.7× 34 0.9× 44 691

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-authorship network of co-authors of Rajeev Rajaram

This figure shows the co-authorship network connecting the top 25 collaborators of Rajeev Rajaram. A scholar is included among the top collaborators of Rajeev Rajaram 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 Rajeev Rajaram. Rajeev Rajaram is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Rajaram, Rajeev, et al.. (2024). Mathematical diversity of parts for a continuous distribution. Journal of Physics Communications. 8(2). 25008–25008. 3 indexed citations
2.
Rajaram, Rajeev, et al.. (2024). On the degree of uniformity measure for probability distributions. Journal of Physics Communications. 8(11). 115003–115003. 2 indexed citations
3.
Rajaram, Rajeev, et al.. (2024). On the mathematical quantification of inequality in probability distributions. Journal of Physics Communications. 8(8). 85002–85002. 2 indexed citations
4.
Rajaram, Rajeev, et al.. (2023). On the comparison of diversity of parts of a distribution. Journal of Physics Communications. 7(7). 75006–75006. 4 indexed citations
5.
Rajaram, Rajeev, et al.. (2021). Hattendorff Differential Equation for Multi-State Markov Insurance Models. Risks. 9(9). 169–169.
6.
Rajaram, Rajeev & Brian Castellani. (2020). Diversity in complex systems: measuring parts of the distribution to the whole. Journal of Physics Communications. 4(4). 45008–45008. 2 indexed citations
7.
Castellani, Brian, Frances Griffiths, Rajeev Rajaram, & Jane Gunn. (2018). Exploring comorbid depression and physical health trajectories: A case‐based computational modelling approach. Journal of Evaluation in Clinical Practice. 24(6). 1293–1309. 6 indexed citations
8.
Vaidya, Umesh, et al.. (2016). Operator theoretic framework for optimal placement of sensors and actuators for control of nonequilibrium dynamics. Journal of Mathematical Analysis and Applications. 440(2). 750–772. 16 indexed citations
9.
Rajaram, Rajeev & Brian Castellani. (2016). An entropy based measure for comparing distributions of complexity. Physica A Statistical Mechanics and its Applications. 453. 35–43. 19 indexed citations
10.
Castellani, Brian & Rajeev Rajaram. (2016). Past the power law: Complex systems and the limiting law of restricted diversity. Complexity. 21(S2). 99–112. 9 indexed citations
11.
Castellani, Brian, Rajeev Rajaram, J. Galen Buckwalter, Michael Ball, & Frederic W. Hafferty. (2015). Place and Health as Complex Systems. Durham Research Online (Durham University). 9 indexed citations
12.
Vaidya, Umesh, et al.. (2013). Optimal placement of actuators and sensors for control of nonequilibrium dynamics. 1083–1088. 4 indexed citations
13.
Vaidya, Umesh, Rajeev Rajaram, & S. Dasgupta. (2012). Actuator and sensor placement in linear advection PDE with building system application. Journal of Mathematical Analysis and Applications. 394(1). 213–224. 24 indexed citations
14.
Rajaram, Rajeev, Umesh Vaidya, Makan Fardad, & Baskar Ganapathysubramanian. (2010). Stability in the almost everywhere sense: A linear transfer operator approach. Journal of Mathematical Analysis and Applications. 368(1). 144–156. 31 indexed citations
15.
Latha, K., et al.. (2010). AFGF: An Automatic Facet Generation Framework for Document Retrieval. 110–114. 12 indexed citations
16.
Rajaram, Rajeev, et al.. (2009). Exact controllability of wave equations in Rn coupled in parallel. Journal of Mathematical Analysis and Applications. 356(1). 7–12. 12 indexed citations
17.
Rajaram, Rajeev. (2009). Exact boundary controllability of the linear advection equation. Applicable Analysis. 88(1). 121–129. 2 indexed citations
18.
Rajaram, Rajeev. (2007). Human Capital. 4 indexed citations
19.
Hansen, Scott W. & Rajeev Rajaram. (2005). Exact boundary controllability of a Rao-Nakra sandwich beam. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5757. 97–97. 2 indexed citations
20.
Hansen, Scott W. & Rajeev Rajaram. (2005). RIESZ BASIS PROPERTY AND RELATED RESULTS FOR A RAO-NAKRA SANDWICH BEAM. 2005. 365. 18 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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