Arun K. Tangirala

1.5k total citations
89 papers, 1.1k citations indexed

About

Arun K. Tangirala is a scholar working on Control and Systems Engineering, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Arun K. Tangirala has authored 89 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Control and Systems Engineering, 14 papers in Signal Processing and 14 papers in Artificial Intelligence. Recurrent topics in Arun K. Tangirala's work include Fault Detection and Control Systems (39 papers), Control Systems and Identification (29 papers) and Advanced Control Systems Optimization (16 papers). Arun K. Tangirala is often cited by papers focused on Fault Detection and Control Systems (39 papers), Control Systems and Identification (29 papers) and Advanced Control Systems Optimization (16 papers). Arun K. Tangirala collaborates with scholars based in India, Canada and Germany. Arun K. Tangirala's co-authors include Sirish L. Shah, R. Bhushan Gopaluni, Saroja Selvanathan, Rohit S. Patwardhan, Tongwen Chen, David Li, Jitendra Kanodia, S.L. Shah, Nina F. Thornhill and K. S. Dhathathreyan and has published in prestigious journals such as PLoS ONE, Journal of Fluid Mechanics and Journal of Power Sources.

In The Last Decade

Arun K. Tangirala

81 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Arun K. Tangirala India	16	682	166	150	120	85	89	1.1k
Bei Sun China	20	548 0.8×	221 1.3×	380 2.5×	181 1.5×	76 0.9×	105	1.2k
Mustapha Ouladsine France	19	1.0k 1.5×	134 0.8×	273 1.8×	130 1.1×	67 0.8×	140	1.5k
Dengji Zhou China	21	498 0.7×	407 2.5×	316 2.1×	94 0.8×	24 0.3×	93	1.5k
Zhizhong Mao China	20	1.0k 1.5×	353 2.1×	378 2.5×	208 1.7×	98 1.2×	125	1.6k
Ping Wu China	15	449 0.7×	75 0.5×	296 2.0×	104 0.9×	75 0.9×	74	760
Dawen Huang China	20	309 0.5×	241 1.5×	189 1.3×	54 0.5×	13 0.2×	48	968
Zhizhong Mao China	17	334 0.5×	115 0.7×	251 1.7×	459 3.8×	58 0.7×	58	853
Paulo E. M. Almeida Brazil	12	278 0.4×	309 1.9×	154 1.0×	187 1.6×	16 0.2×	61	876
Flávio Neves Brazil	18	488 0.7×	57 0.3×	144 1.0×	112 0.9×	60 0.7×	84	916

Countries citing papers authored by Arun K. Tangirala

Since Specialization

Citations

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

Fields of papers citing papers by Arun K. Tangirala

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arun K. Tangirala. 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 Arun K. Tangirala. The network helps show where Arun K. Tangirala may publish in the future.

Co-authorship network of co-authors of Arun K. Tangirala

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

All Works

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20 of 20 papers shown

George, Boby, et al.. (2024). An Inductive Sensing Mechanism for Cantilever-Based Water Flow Measurement. IEEE Transactions on Instrumentation and Measurement. 73. 1–10. 1 indexed citations

Elumalai, Vinodh Kumar, et al.. (2024). Reinforcement learning control for trajectory tracking of rotary flexible link. AIP conference proceedings. 3110. 20004–20004.

Tangirala, Arun K., et al.. (2023). Dynamical Soft Sensors from Scarce and Irregularly Sampled Outputs Using Sparse Optimization Techniques. Industrial & Engineering Chemistry Research. 62(5). 2144–2160. 1 indexed citations

Vanajakshi, Lelitha, et al.. (2023). Effects of Data Characteristics on Bus Travel Time Prediction: A Systematic Study. Sustainability. 15(6). 4731–4731. 1 indexed citations

Raman, Karthik, et al.. (2023). Sloppiness: Fundamental study, new formalism and its application in model assessment. PLoS ONE. 18(3). e0282609–e0282609. 5 indexed citations

Tangirala, Arun K., et al.. (2023). Geographical Trapping of Synchronous Extremes Amidst Increasing Variability of Indian Summer Monsoon Rainfall. Geophysical Research Letters. 50(22). 4 indexed citations

Raman, Karthik, et al.. (2023). On biological networks capable of robust adaptation in the presence of uncertainties: A linear systems-theoretic approach. Mathematical Biosciences. 358. 108984–108984. 4 indexed citations

Raman, Karthik, et al.. (2022). Discovering adaptation-capable biological network structures using control-theoretic approaches. PLoS Computational Biology. 18(1). e1009769–e1009769. 13 indexed citations

Raman, Karthik, et al.. (2022). Bayesian Optimal Experiment Design for Sloppy Systems. IFAC-PapersOnLine. 55(23). 121–126. 4 indexed citations

10.

Rao, C. Lakshmana, et al.. (2020). Tailoring the stability of an axially compressed circular-cylindrical shell using piezoelectric patch actuators. Mechanics of Advanced Materials and Structures. 29(8). 1104–1115. 2 indexed citations

11.

Raman, Karthik, et al.. (2018). A systems-theoretic approach towards designing biological networks for perfect adaptation. IFAC-PapersOnLine. 51(1). 307–312. 4 indexed citations

12.

Moudgalya, Kannan M., et al.. (2017). SYSID: An open-source library for system identification. 53–58. 3 indexed citations

13.

Tangirala, Arun K.. (2014). Principles of System Identification: Theory and Practice. CERN Document Server (European Organization for Nuclear Research). 171 indexed citations

14.

Tangirala, Arun K., et al.. (2013). Quantification of interaction in multiloop control systems using directed spectral decomposition. Automatica. 49(5). 1174–1183. 22 indexed citations

15.

Tangirala, Arun K., et al.. (2010). Quantitative analysis of directional strengths in jointly stationary linear multivariate processes. Biological Cybernetics. 103(2). 119–133. 33 indexed citations

16.

Selvanathan, Saroja & Arun K. Tangirala. (2009). Diagnosis of Oscillations Due to Multiple Sources in Model-Based Control Loops Using Wavelet Transforms. SSRN Electronic Journal. 1 indexed citations

17.

Tangirala, Arun K., et al.. (2009). Quantification of directed influences in multivariate systems by time-series modeling. 1–6. 2 indexed citations

18.

Sivaramakrishnan, S., Arun K. Tangirala, & M. Chidambaram. (2008). Sliding Mode Controller For Unstable Systems. Chemical and Biochemical Engineering Quarterly. 22(1). 41–47. 15 indexed citations

19.

Tangirala, Arun K., Sirish L. Shah, & Tongwen Chen. (2003). Conditions for removing intersample ripples in multirate control. 3. 1585–1589. 2 indexed citations

20.

Tangirala, Arun K., David Li, Rohit S. Patwardhan, Sirish L. Shah, & Tongwen Chen. (2001). Ripple-free conditions for lifted multirate control systems. Automatica. 37(10). 1637–1645. 48 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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