S. Chakravarty

2.0k total citations
101 papers, 1.6k citations indexed

About

S. Chakravarty is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Surgery. According to data from OpenAlex, S. Chakravarty has authored 101 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Electrical and Electronic Engineering, 44 papers in Hardware and Architecture and 19 papers in Surgery. Recurrent topics in S. Chakravarty's work include VLSI and Analog Circuit Testing (44 papers), Integrated Circuits and Semiconductor Failure Analysis (36 papers) and Radiation Effects in Electronics (23 papers). S. Chakravarty is often cited by papers focused on VLSI and Analog Circuit Testing (44 papers), Integrated Circuits and Semiconductor Failure Analysis (36 papers) and Radiation Effects in Electronics (23 papers). S. Chakravarty collaborates with scholars based in United States, India and United Kingdom. S. Chakravarty's co-authors include Prashanta Kumar Mandal, J.C. Misra, Puspanjali Mohapatra, P.K. Dash, V. Dabholkar, Kelvin K. L. Wong, J. Mazumdar, S. Sen, Harry B. Hunt and Sarifuddin Sarifuddin and has published in prestigious journals such as PLoS ONE, Journal of Biomechanics and PLoS Computational Biology.

In The Last Decade

S. Chakravarty

94 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
S. Chakravarty United States 22 488 479 459 409 317 101 1.6k
Michel Sorine France 17 309 0.6× 85 0.2× 73 0.2× 19 0.0× 92 0.3× 84 1.3k
D.H. van Campen Netherlands 24 627 1.3× 78 0.2× 176 0.4× 11 0.0× 250 0.8× 80 2.6k
Joakim Sundnes Norway 23 357 0.7× 127 0.3× 89 0.2× 16 0.0× 117 0.4× 73 1.4k
Christian Wieners Germany 18 233 0.5× 189 0.4× 517 1.1× 22 0.1× 23 0.1× 67 1.1k
Toshiaki Hisada Japan 28 704 1.4× 83 0.2× 427 0.9× 5 0.0× 351 1.1× 152 2.6k
Axel Klawonn Germany 25 220 0.5× 579 1.2× 1.6k 3.5× 30 0.1× 72 0.2× 86 2.0k
Anton J. Prassl Austria 25 419 0.9× 89 0.2× 87 0.2× 21 0.1× 134 0.4× 54 2.0k
Hsi‐Pin Ma Taiwan 15 423 0.9× 281 0.6× 34 0.1× 27 0.1× 20 0.1× 81 965
Roman Trobec Slovenia 20 414 0.8× 150 0.3× 121 0.3× 74 0.2× 102 0.3× 125 1.4k
Kang‐Yoon Lee South Korea 26 688 1.4× 2.4k 5.0× 15 0.0× 33 0.1× 279 0.9× 354 2.9k

Countries citing papers authored by S. Chakravarty

Since Specialization
Citations

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

Fields of papers citing papers by S. Chakravarty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Chakravarty

This figure shows the co-authorship network connecting the top 25 collaborators of S. Chakravarty. A scholar is included among the top collaborators of S. Chakravarty 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 S. Chakravarty. S. Chakravarty 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.
Dixon, Bradley P., David Kavanagh, Brigitte Adams, et al.. (2024). Ravulizumab in Atypical Hemolytic Uremic Syndrome: An Analysis of 2-Year Efficacy and Safety Outcomes in 2 Phase 3 Trials. Kidney Medicine. 6(8). 100855–100855. 8 indexed citations
2.
Chakravarty, S., Jacob Donoghue, Ayan S. Waite, et al.. (2023). Closed-loop control of anesthetic state in nonhuman primates. PNAS Nexus. 2(10). 3 indexed citations
3.
Abel, John H., Marcus A. Badgeley, Gabriel Schamberg, et al.. (2021). Machine learning of EEG spectra classifies unconsciousness during GABAergic anesthesia. PLoS ONE. 16(5). e0246165–e0246165. 18 indexed citations
4.
Garwood, Indie C., S. Chakravarty, Jacob Donoghue, et al.. (2021). A hidden Markov model reliably characterizes ketamine-induced spectral dynamics in macaque local field potentials and human electroencephalograms. PLoS Computational Biology. 17(8). e1009280–e1009280. 13 indexed citations
5.
Edlow, Brian L., Megan E. Barra, David Zhou, et al.. (2020). Personalized Connectome Mapping to Guide Targeted Therapy and Promote Recovery of Consciousness in the Intensive Care Unit. Neurocritical Care. 33(2). 364–375. 38 indexed citations
6.
Koch, Susanne, Insa Feinkohl, S. Chakravarty, et al.. (2019). Cognitive Impairment Is Associated with Absolute Intraoperative Frontal α-Band Power but Not with Baseline α-Band Power: A Pilot Study. Dementia and Geriatric Cognitive Disorders. 48(1-2). 83–92. 26 indexed citations
7.
Chamadia, Shubham, et al.. (2018). Arousal Detection in Obstructive Sleep Apnea using Physiology-Driven Features. Computing in cardiology. 45. 7 indexed citations
8.
Chakravarty, S., et al.. (2017). Pharmacodynamic modeling of propofol-induced general anesthesia in young adults. PubMed. 2017. 44–47. 2 indexed citations
9.
Sen, S. & S. Chakravarty. (2009). Dynamic response of wall shear stress on the stenosed artery. Computer Methods in Biomechanics & Biomedical Engineering. 12(5). 523–529.
10.
Sarifuddin, Sarifuddin, S. Chakravarty, Prashanta Kumar Mandal, & G. C. Layek. (2008). Numerical simulation of unsteady generalized Newtonian blood flow through differently shaped distensible arterial stenoses. Journal of Medical Engineering & Technology. 32(5). 385–399. 24 indexed citations
11.
Chakravarty, S. & Suman Sen. (2008). Analysis of pulsatile blood flow in constricted bifurcated arteries with vorticity-stream function approach. Journal of Medical Engineering & Technology. 32(1). 10–22. 14 indexed citations
12.
Chakravarty, S., et al.. (2008). Unsteady response of non-Newtonian blood flow through a stenosed artery in magnetic field. Journal of Computational and Applied Mathematics. 230(1). 243–259. 99 indexed citations
13.
Mahanty, Biswajit, et al.. (2007). Hybrid Approach to Optimal Packing Using Genetic Algorithm and Coulomb Potential Algorithm. Materials and Manufacturing Processes. 22(5). 668–677. 9 indexed citations
14.
Chakravarty, S., et al.. (1999). A nonlinear mathematical model of blood flow in a constricted artery experiencing body acceleration. Mathematical and Computer Modelling. 29(8). 9–25. 24 indexed citations
15.
Chakravarty, S., et al.. (1996). Effect of body acceleration on unsteady flow of blood past a time-dependent arterial stenosis. Mathematical and Computer Modelling. 24(2). 57–74. 12 indexed citations
16.
Chakravarty, S. & V. Dabholkar. (1994). Minimizing Power Dissipation in Scan Circuits During Test Application. 7 indexed citations
17.
Chakravarty, S., et al.. (1994). Effect of body acceleration on blood flow in an irregular stenosed artery. Mathematical and Computer Modelling. 19(5). 93–103. 8 indexed citations
18.
Chakravarty, S., et al.. (1992). Algorithms for current monitor based diagnosis of bridging and leakage faults. Design Automation Conference. 353–356. 26 indexed citations
19.
Chakravarty, S., et al.. (1989). Effects of stenosis on arterial rheology through a mathematical model. Mathematical and Computer Modelling. 12(12). 1601–1612. 28 indexed citations
20.
Misra, J.C. & S. Chakravarty. (1984). A poroelastic spheroidal shell model for studying the problem of head injury. Journal of Mathematical Analysis and Applications. 103(2). 332–343. 1 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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