T. S. B. Sudarshan

627 total citations
60 papers, 347 citations indexed

About

T. S. B. Sudarshan is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, T. S. B. Sudarshan has authored 60 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Networks and Communications, 19 papers in Computer Vision and Pattern Recognition and 14 papers in Signal Processing. Recurrent topics in T. S. B. Sudarshan's work include Parallel Computing and Optimization Techniques (12 papers), Embedded Systems Design Techniques (7 papers) and Energy Efficient Wireless Sensor Networks (7 papers). T. S. B. Sudarshan is often cited by papers focused on Parallel Computing and Optimization Techniques (12 papers), Embedded Systems Design Techniques (7 papers) and Energy Efficient Wireless Sensor Networks (7 papers). T. S. B. Sudarshan collaborates with scholars based in India, United States and Israel. T. S. B. Sudarshan's co-authors include B. Uma Maheswari, Shikha Tripathi, Meena Belwal, Deepa Gupta, Arun K. Somani, N. N. Parvathy, Madhura Purnaprajna, Deepa Gupta, B. W. Stappers and Snehanshu Saha and has published in prestigious journals such as IEEE Access, Applied Soft Computing and Soft Computing.

In The Last Decade

T. S. B. Sudarshan

54 papers receiving 326 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
T. S. B. Sudarshan India	11	159	98	97	55	48	60	347
Michael Bramberger Slovakia	7	132 0.8×	258 2.6×	156 1.6×	32 0.6×	39 0.8×	12	413
Shaoshan Liu United States	7	68 0.4×	96 1.0×	104 1.1×	32 0.6×	59 1.2×	10	324
Dong-Wook Lee South Korea	11	212 1.3×	50 0.5×	168 1.7×	46 0.8×	83 1.7×	59	373
Eben Upton United Kingdom	5	90 0.6×	72 0.7×	62 0.6×	28 0.5×	21 0.4×	8	255
Matt Skach United States	6	136 0.9×	103 1.1×	133 1.4×	74 1.3×	74 1.5×	9	368
Kalpana Sharma India	11	233 1.5×	42 0.4×	90 0.9×	64 1.2×	18 0.4×	59	425
Seung Eun Lee South Korea	11	172 1.1×	73 0.7×	154 1.6×	59 1.1×	141 2.9×	70	405
Dong Yin China	14	263 1.7×	160 1.6×	106 1.1×	45 0.8×	36 0.8×	68	569
Eduardo Marques Brazil	10	54 0.3×	176 1.8×	106 1.1×	51 0.9×	116 2.4×	44	426

Countries citing papers authored by T. S. B. Sudarshan

Since Specialization

Citations

This map shows the geographic impact of T. S. B. Sudarshan'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 T. S. B. Sudarshan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. S. B. Sudarshan more than expected).

Fields of papers citing papers by T. S. B. Sudarshan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. S. B. Sudarshan. 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 T. S. B. Sudarshan. The network helps show where T. S. B. Sudarshan may publish in the future.

Co-authorship network of co-authors of T. S. B. Sudarshan

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Sudarshan, T. S. B., et al.. (2024). Optimal task partitioning to minimize failure in heterogeneous computational platform. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 15(1). 1079–1079.

Sudarshan, T. S. B., et al.. (2023). QLEN: A Load Distribution Algorithm to Improve QoS Factors Among Fog Devices.

Tripathi, Shikha, et al.. (2022). An intelligent facial expression recognition system with emotion intensity classification. Cognitive Systems Research. 74. 39–52. 14 indexed citations

Maheswari, B. Uma, et al.. (2017). Overlay based fault tolerant peer to peer multicasting for emergency data communication in VANETS. 2017 International Conference On Smart Technologies For Smart Nation (SmartTechCon). 510–513. 13 indexed citations

Sudarshan, T. S. B., et al.. (2017). Maximum power point tracking controller for solar powered mUAV. 2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI). 9. 1795–1798. 2 indexed citations

Parvathy, N. N., et al.. (2016). Cache coherence: A walkthrough of mechanisms and challenges. 2251–2256. 5 indexed citations

Maheswari, B. Uma & T. S. B. Sudarshan. (2016). Error Resilient Multipath Video Delivery on Wireless Overlay Networks. TELKOMNIKA (Telecommunication Computing Electronics and Control). 14(3). 894–894. 11 indexed citations

Belwal, Meena & T. S. B. Sudarshan. (2015). Intermediate representation for heterogeneous multi-core: A survey. 1–6. 4 indexed citations

Gupta, Deepa, et al.. (2015). Acquisition and analysis of robotic data using machine learning techniques. 1 indexed citations

10.

Tripathi, Shikha, et al.. (2015). Systolic architecture implementation of 1D DFT and 1D DCT. 19. 1–5. 3 indexed citations

11.

Sudarshan, T. S. B., et al.. (2013). Learning from Demonstration with State Based Obstacle Avoidance for Mobile Service Robots. Applied Mechanics and Materials. 394. 448–455. 5 indexed citations

12.

Sudarshan, T. S. B., et al.. (2013). SQL based cardiovascular ultrasound image classification. International Journal of Data Mining and Bioinformatics. 7(3). 266–266. 2 indexed citations

13.

Tripathi, Shikha, et al.. (2013). Reduced Complexity Architecture for Convolution Based Discrete Cosine Transform. 67–71. 2 indexed citations

14.

Sudarshan, T. S. B., et al.. (2012). A content-based image retrieval system for echo images using SQL-based clustering approach. The Imaging Science Journal. 60(5). 256–271. 2 indexed citations

15.

Gupta, Deepa, et al.. (2012). Analysis of multimodal time series data of robotic environment. 3. 734–739. 7 indexed citations

16.

Sudarshan, T. S. B., et al.. (2007). A Prototype for Tiger Hash Primitive Hardware Architecture. 1039. 327–332. 1 indexed citations

17.

Sudarshan, T. S. B., et al.. (2007). LLRU: Late LRU Replacement Strategy for Power Efficient Embedded Cache. 339–344. 3 indexed citations

18.

Sudarshan, T. S. B., et al.. (2006). SOC design of a Low Power Wireless Sensor network node for Zigbee Systems. 462–466. 11 indexed citations

19.

Sudarshan, T. S. B., et al.. (2005). ASIC implementation of a unified hardware architecture for non-key based cryptographic hash primitives. 1039. 580–585 Vol. 1. 3 indexed citations

20.

Sudarshan, T. S. B., et al.. (2004). Highly efficient LRU implementations for high associativity cache memory. 17 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