D. Subbaram Naidu

2.4k total citations
137 papers, 1.7k citations indexed

About

D. Subbaram Naidu is a scholar working on Control and Systems Engineering, Numerical Analysis and Biomedical Engineering. According to data from OpenAlex, D. Subbaram Naidu has authored 137 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Control and Systems Engineering, 38 papers in Numerical Analysis and 32 papers in Biomedical Engineering. Recurrent topics in D. Subbaram Naidu's work include Muscle activation and electromyography studies (28 papers), Differential Equations and Numerical Methods (27 papers) and Numerical methods for differential equations (26 papers). D. Subbaram Naidu is often cited by papers focused on Muscle activation and electromyography studies (28 papers), Differential Equations and Numerical Methods (27 papers) and Numerical methods for differential equations (26 papers). D. Subbaram Naidu collaborates with scholars based in United States, India and China. D. Subbaram Naidu's co-authors include Anthony Calise, Marco P. Schoen, Alba Pérez-Gracia, Kevin L. Moore, Cheng-Hung Chen, Craig Rieger, Charalambos D. Charalambous, P. K. Rajagopalan, Douglas B. Price and Steve C. Chiu and has published in prestigious journals such as Proceedings of the IEEE, Molecules and European Journal of Medicinal Chemistry.

In The Last Decade

D. Subbaram Naidu

131 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Subbaram Naidu United States 18 774 382 341 261 218 137 1.7k
Alessandro Macchelli Italy 19 1.4k 1.8× 279 0.7× 209 0.6× 290 1.1× 378 1.7× 87 1.8k
Kirsten Morris Canada 24 1.4k 1.8× 207 0.5× 199 0.6× 124 0.5× 121 0.6× 116 1.9k
Harry G. Kwatny United States 25 1.2k 1.6× 136 0.4× 382 1.1× 275 1.1× 116 0.5× 153 2.4k
Thomas Meurer Germany 23 1.4k 1.8× 278 0.7× 169 0.5× 134 0.5× 260 1.2× 180 1.9k
Pierre Melchior France 20 1.1k 1.5× 124 0.3× 181 0.5× 106 0.4× 127 0.6× 117 1.8k
Antonio Tornambè Italy 23 1.8k 2.3× 159 0.4× 136 0.4× 181 0.7× 261 1.2× 205 2.2k
Joseph Bentsman United States 24 1.9k 2.5× 189 0.5× 179 0.5× 158 0.6× 359 1.6× 176 2.8k
Marin Kobilarov United States 22 566 0.7× 118 0.3× 379 1.1× 201 0.8× 86 0.4× 73 1.3k
S. H. Johnson United States 8 1.1k 1.4× 110 0.3× 118 0.3× 149 0.6× 164 0.8× 16 1.7k
Jean Lévine France 18 3.4k 4.4× 167 0.4× 425 1.2× 240 0.9× 544 2.5× 57 4.1k

Countries citing papers authored by D. Subbaram Naidu

Since Specialization
Citations

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

Fields of papers citing papers by D. Subbaram Naidu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Subbaram Naidu. 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 D. Subbaram Naidu. The network helps show where D. Subbaram Naidu may publish in the future.

Co-authorship network of co-authors of D. Subbaram Naidu

This figure shows the co-authorship network connecting the top 25 collaborators of D. Subbaram Naidu. A scholar is included among the top collaborators of D. Subbaram Naidu 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 D. Subbaram Naidu. D. Subbaram Naidu 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.
3.
4.
Курина, Г. А., Mikhail Dmitriev, & D. Subbaram Naidu. (2017). Discrete singularly perturbed control problems (A survey). 24(5). 335–370. 9 indexed citations
5.
Naidu, D. Subbaram, et al.. (2014). Time Scale Analysis and Synthesis of Deterministic and Stochastic Wind Energy Conversion Systems. WSEAS Transactions on Systems and Control archive. 9(1). 189–198. 2 indexed citations
6.
Zhang, Yan, et al.. (2014). Time scale analysis and synthesis for model predictive control. WSEAS Transactions on Systems and Control archive. 9(1). 130–139. 6 indexed citations
7.
Naidu, D. Subbaram, et al.. (2012). Direct fuzzy adaptive control for standalone wind energy conversion systems. World Congress on Engineering. 994–999. 6 indexed citations
8.
Chen, Cheng-Hung, D. Subbaram Naidu, & Marco P. Schoen. (2011). Adaptive control for a five-fingered prosthetic hand with unknown mass and inertia. WSEAS TRANSACTIONS on SYSTEMS archive. 10(5). 148–161. 4 indexed citations
9.
Chiu, Steve C., et al.. (2010). An adaptive multi sensor data fusion with hybrid nonlinear ARX and Wiener-Hammerstein models for skeletal muscle force estimation. International Conference on Systems. 186–191. 12 indexed citations
10.
Chiu, Steve C., et al.. (2010). Adaptive multi sensor based nonlinear identification of skeletal muscle force. WSEAS TRANSACTIONS on SYSTEMS archive. 9(10). 1050–1062. 8 indexed citations
11.
Chen, Cheng-Hung, D. Subbaram Naidu, & Marco P. Schoen. (2010). An adaptive control strategy for a five-fingered prosthetic hand. International Conference on Systems. 405–410. 5 indexed citations
12.
Naidu, D. Subbaram, Cheng-Hung Chen, Alba Pérez-Gracia, & Marco P. Schoen. (2008). Control strategies for smart prosthetic hand technology: An overview. PubMed. 2008. 4314–4317. 40 indexed citations
13.
Naidu, D. Subbaram, et al.. (2007). Unified Approach for Closed-Loop Optimal Control. 2322–2327. 1 indexed citations
14.
Rieger, Craig & D. Subbaram Naidu. (2004). New techniques for implementing linear quadratic methods with aerospace and other industrial control applications. 388–393. 2 indexed citations
15.
Naidu, D. Subbaram, et al.. (2004). Unified approach for Euler-Lagrange equation arising in calculus of variations. 4. 3263–3268. 2 indexed citations
16.
Naidu, D. Subbaram, et al.. (2000). Unified H, Approach for a Singularly Perturbed Aircraft Model. American Control Conference. 3. 1847–1851. 2 indexed citations
17.
Naidu, D. Subbaram, et al.. (2000). Unified H/sub /spl infin// approach for a singularly perturbed aircraft model. e-Publications@Marquette (Marquette University). 1847–1851 vol.3. 6 indexed citations
18.
Moore, Kevin L., et al.. (1998). Modeling, calibration, and control-theoretic analysis of the GMAW process. 1747–1751 vol.3. 7 indexed citations
19.
Naidu, D. Subbaram. (1991). Neighboring optimal guidance for aeroassisted noncoplanar orbital transfer. AIAA Atmospheric Flight Mechanics Conference. 529–539. 1 indexed citations
20.
Rajagopalan, P. K. & D. Subbaram Naidu. (1981). Singular-perturbation method for discrete models of continuous systems in optimal control. IEE Proceedings D Control Theory and Applications. 128(4). 142–142. 3 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026