Rahul Radhakrishnan

2.7k total citations
73 papers, 2.2k citations indexed

About

Rahul Radhakrishnan is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Aerospace Engineering. According to data from OpenAlex, Rahul Radhakrishnan has authored 73 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 17 papers in Atomic and Molecular Physics, and Optics and 15 papers in Aerospace Engineering. Recurrent topics in Rahul Radhakrishnan's work include Target Tracking and Data Fusion in Sensor Networks (26 papers), Advanced Fiber Laser Technologies (13 papers) and Nonlinear Photonic Systems (13 papers). Rahul Radhakrishnan is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (26 papers), Advanced Fiber Laser Technologies (13 papers) and Nonlinear Photonic Systems (13 papers). Rahul Radhakrishnan collaborates with scholars based in India, United States and United Kingdom. Rahul Radhakrishnan's co-authors include M. Lakshmanan, H. G. Khorana, Chhitar M. Gupta, Jarmo Hietarinta, Yohtaroh Takagaki, Kuo‐Sen Huang, Hagan Bayley, Müfit Akinç, Jason Williams and Alonzo H. Ross and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Annals of the New York Academy of Sciences.

In The Last Decade

Rahul Radhakrishnan

65 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rahul Radhakrishnan India 23 837 729 624 274 209 73 2.2k
Eiro Muneyuki Japan 29 781 0.9× 572 0.8× 2.7k 4.3× 203 0.7× 240 1.1× 75 3.9k
Tamiki Komatsuzaki Japan 27 733 0.9× 847 1.2× 1.0k 1.6× 61 0.2× 252 1.2× 111 2.3k
F. W. Schneider Germany 29 912 1.1× 691 0.9× 738 1.2× 250 0.9× 257 1.2× 152 2.8k
Guang Hu China 34 1.8k 2.1× 270 0.4× 1.4k 2.2× 155 0.6× 133 0.6× 268 4.4k
V. I. Krinsky Russia 28 791 0.9× 332 0.5× 374 0.6× 339 1.2× 123 0.6× 48 2.3k
Chiu Fan Lee United Kingdom 24 354 0.4× 451 0.6× 1.1k 1.7× 98 0.4× 179 0.9× 68 2.0k
Marcus Weber Germany 23 229 0.3× 272 0.4× 1.9k 3.1× 227 0.8× 419 2.0× 119 3.2k
Henrik Gordon Petersen Denmark 20 144 0.2× 762 1.0× 684 1.1× 38 0.1× 502 2.4× 78 2.8k
Ómar Valsson Switzerland 19 136 0.2× 687 0.9× 858 1.4× 194 0.7× 650 3.1× 38 1.8k

Countries citing papers authored by Rahul Radhakrishnan

Since Specialization
Citations

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

Fields of papers citing papers by Rahul Radhakrishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rahul Radhakrishnan

This figure shows the co-authorship network connecting the top 25 collaborators of Rahul Radhakrishnan. A scholar is included among the top collaborators of Rahul Radhakrishnan 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 Rahul Radhakrishnan. Rahul Radhakrishnan 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.
2.
Radhakrishnan, Rahul, et al.. (2024). Mixture Maximum Correntropy Unscented Kalman Filter for Angles-Only Target Tracking Problem. IFAC-PapersOnLine. 57. 367–372. 1 indexed citations
3.
Radhakrishnan, Rahul, et al.. (2024). Cascade plus Feedforward Control Strategy for Enhanced Regulation in Maglev System. IFAC-PapersOnLine. 57. 355–360. 4 indexed citations
4.
Radhakrishnan, Rahul, et al.. (2023). New robust state‐estimation frameworks for angles‐only underwater target tracking problems. International Journal of Adaptive Control and Signal Processing. 39(10). 2093–2118.
5.
Radhakrishnan, Rahul, et al.. (2023). Numerically Stable Centered Error Entropy and Mixture Minimum Error Entropy Estimators for Bearings-Only Target Tracking Problem. IEEE Sensors Letters. 7(12). 1–4. 1 indexed citations
6.
Radhakrishnan, Rahul, et al.. (2023). Experimentally validated frequency shifted internal model cascade control strategy for magnetic levitation system. 26. 100234–100234. 8 indexed citations
7.
Ristić, Branko, et al.. (2022). 2D and 3D Angles-Only Target Tracking Based on Maximum Correntropy Kalman Filters. Sensors. 22(15). 5625–5625. 11 indexed citations
8.
9.
Singh, Abhinoy Kumar, Rahul Radhakrishnan, Shovan Bhaumik, & Paresh Date. (2018). Adaptive sparse-grid Gauss–Hermite filter. Journal of Computational and Applied Mathematics. 342. 305–316. 13 indexed citations
10.
Radhakrishnan, Rahul, et al.. (2015). Energy-exchange collisions of dark-bright-bright vector solitons. Physical Review E. 92(6). 62913–62913. 9 indexed citations
11.
Radhakrishnan, Rahul, Abhinoy Kumar Singh, Shovan Bhaumik, & Nutan Kumar Tomar. (2015). Quadrature Filters for Underwater Passive Bearings-Only Target Tracking. 1–5. 14 indexed citations
12.
Radhakrishnan, Rahul, Abhinoy Kumar Singh, Shovan Bhaumik, & Nutan Kumar Tomar. (2015). Multiple sparse-grid Gauss–Hermite filtering. Applied Mathematical Modelling. 40(7-8). 4441–4450. 23 indexed citations
13.
Radhakrishnan, Rahul, et al.. (2014). Generalized dark-bright vector soliton solution to the mixed coupled nonlinear Schrödinger equations. Physical Review E. 90(2). 22902–22902. 12 indexed citations
14.
Radhakrishnan, Rahul. (2012). A monolithically integrated power JFET and Junction Barrier Schottky diode in 4H silicon carbide. Rutgers University Community Repository (Rutgers University). 2 indexed citations
15.
Radhakrishnan, Rahul, et al.. (2007). Spatial vector soliton and its collisions in isotropic self-defocusing Kerr media. Physical Review E. 75(6). 66605–66605. 16 indexed citations
16.
Radhakrishnan, Rahul, et al.. (2007). A dark-bright optical soliton solution to the coupled nonlinear Schrödinger equation. Journal of Physics A Mathematical and Theoretical. 40(43). 13023–13030. 45 indexed citations
17.
Radhakrishnan, Rahul, P. Tchofo Dinda, & G. Millot. (2004). Efficient control of the energy exchange due to the Manakov vector-soliton collision. Physical Review E. 69(4). 46607–46607. 42 indexed citations
18.
Radhakrishnan, Rahul, Jason Williams, & Müfit Akinç. (1999). Synthesis and high-temperature stability of Ti3SiC2. Journal of Alloys and Compounds. 285(1-2). 85–88. 149 indexed citations
19.
Radhakrishnan, Rahul & M. Lakshmanan. (1996). Exact soliton solutions to coupled nonlinear Schrödinger equations with higher-order effects. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 54(3). 2949–2955. 79 indexed citations
20.
Takagaki, Yohtaroh, Rahul Radhakrishnan, Chhitar M. Gupta, & H. G. Khorana. (1983). The membrane-embedded segment of cytochrome b5 as studied by cross-linking with photoactivatable phospholipids.. Journal of Biological Chemistry. 258(15). 9128–9135. 68 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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