Anup Parikh

1.2k total citations
30 papers, 780 citations indexed

About

Anup Parikh is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Anup Parikh has authored 30 papers receiving a total of 780 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Control and Systems Engineering, 8 papers in Computer Vision and Pattern Recognition and 7 papers in Aerospace Engineering. Recurrent topics in Anup Parikh's work include Muscle activation and electromyography studies (6 papers), Advanced Vision and Imaging (6 papers) and Robotics and Sensor-Based Localization (6 papers). Anup Parikh is often cited by papers focused on Muscle activation and electromyography studies (6 papers), Advanced Vision and Imaging (6 papers) and Robotics and Sensor-Based Localization (6 papers). Anup Parikh collaborates with scholars based in United States, Slovenia and Taiwan. Anup Parikh's co-authors include Warren E. Dixon, Adam Kuspa, Gad Shaulsky, Blaž Zupan, Gregor Rot, R. Dunlop, Ryan J. Downey, Tomaž Curk, Richard Sucgang and Matthew J. Bellman and has published in prestigious journals such as Nature, Bioinformatics and Current Biology.

In The Last Decade

Anup Parikh

30 papers receiving 758 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anup Parikh United States 14 198 166 163 131 88 30 780
Hai Nguyen United States 19 114 0.6× 201 1.2× 128 0.8× 56 0.4× 186 2.1× 41 1.1k
Ali Emre Turgut Türkiye 21 65 0.3× 103 0.6× 138 0.8× 17 0.1× 94 1.1× 45 1.1k
Atsushi Tero Japan 17 146 0.7× 37 0.2× 1.4k 8.6× 65 0.5× 71 0.8× 27 1.9k
Nicolas Bredèche France 16 115 0.6× 76 0.5× 150 0.9× 9 0.1× 66 0.8× 59 934
Qian Zhou China 25 372 1.9× 131 0.8× 222 1.4× 24 0.2× 315 3.6× 112 1.7k
Gilles Caprari Switzerland 18 29 0.1× 269 1.6× 427 2.6× 40 0.3× 132 1.5× 48 1.3k
Masoud Asadpour Switzerland 10 40 0.2× 40 0.2× 117 0.7× 39 0.3× 126 1.4× 16 625
Shiliang Zhang China 19 320 1.6× 46 0.3× 71 0.4× 226 1.7× 30 0.3× 105 1.5k
Violet Mwaffo United States 16 66 0.3× 28 0.2× 59 0.4× 225 1.7× 22 0.3× 44 649
Sam Kriegman United States 10 121 0.6× 57 0.3× 327 2.0× 21 0.2× 23 0.3× 20 730

Countries citing papers authored by Anup Parikh

Since Specialization
Citations

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

Fields of papers citing papers by Anup Parikh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anup Parikh

This figure shows the co-authorship network connecting the top 25 collaborators of Anup Parikh. A scholar is included among the top collaborators of Anup Parikh 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 Anup Parikh. Anup Parikh 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.
Parikh, Anup, et al.. (2020). Rapid Autonomous Semantic Mapping. 6156–6163. 3 indexed citations
2.
Stražar, Martin, Lan Žagar, Janez Demšar, et al.. (2019). scOrange—a tool for hands-on training of concepts from single-cell data analytics. Bioinformatics. 35(14). i4–i12. 7 indexed citations
3.
Parikh, Anup, Rushikesh Kamalapurkar, & Warren E. Dixon. (2018). Target Tracking in the Presence of Intermittent Measurements via Motion Model Learning. IEEE Transactions on Robotics. 34(3). 805–819. 27 indexed citations
4.
Bell, Zachary I., et al.. (2018). Global Exponential Tracking Control for an Autonomous Surface Vessel: An Integral Concurrent Learning Approach. IEEE Journal of Oceanic Engineering. 45(2). 362–370. 33 indexed citations
5.
Duenas, Victor H., et al.. (2018). Motorized and Functional Electrical Stimulation Induced Cycling via Switched Repetitive Learning Control. IEEE Transactions on Control Systems Technology. 27(4). 1468–1479. 27 indexed citations
6.
Parikh, Anup, et al.. (2017). A Switched Systems Approach to Image-Based Localization of Targets That Temporarily Leave the Camera Field of View. IEEE Transactions on Control Systems Technology. 26(6). 2149–2156. 21 indexed citations
7.
Klotz, Justin R., Anup Parikh, Teng-Hu Cheng, & Warren E. Dixon. (2016). Decentralized Synchronization of Uncertain Nonlinear Systems With a Reputation Algorithm. IEEE Transactions on Control of Network Systems. 5(1). 434–445. 12 indexed citations
8.
9.
Parikh, Anup, Teng-Hu Cheng, Hsi‐Yuan Chen, & Warren E. Dixon. (2016). A Switched Systems Framework for Guaranteed Convergence of Image-Based Observers With Intermittent Measurements. IEEE Transactions on Robotics. 33(2). 266–280. 16 indexed citations
10.
Obuz, Serhat, Ryan J. Downey, Anup Parikh, & Warren E. Dixon. (2016). Compensating for uncertain time-varying delayed muscle response in isometric neuromuscular electrical stimulation control. 4368–4372. 13 indexed citations
11.
Obuz, Serhat, et al.. (2016). Lyapunov-Based Control of an Uncertain Euler-Lagrange System with Uncertain Time-Varying Input Delays without Delay Rate Constraints. IFAC-PapersOnLine. 49(10). 141–146. 9 indexed citations
12.
Parikh, Anup, Rushikesh Kamalapurkar, Hsi‐Yuan Chen, & Warren E. Dixon. (2015). Homography based visual servo control with scene reconstruction. 6972–6977. 13 indexed citations
13.
Nasser, Waleed, Balaji Santhanam, Edward Roshan Miranda, et al.. (2013). Bacterial Discrimination by Dictyostelid Amoebae Reveals the Complexity of Ancient Interspecies Interactions. Current Biology. 23(10). 862–872. 51 indexed citations
14.
MacKunis, William, Nicholas Gans, Anup Parikh, & Warren E. Dixon. (2013). Unified Tracking and Regulation Visual Servo Control for Wheeled Mobile Robots. Asian Journal of Control. 16(3). 669–678. 14 indexed citations
15.
Parikh, Anup, Edward Roshan Miranda, Mariko Katoh‐Kurasawa, et al.. (2010). Conserved developmental transcriptomes in evolutionarily divergent species. Genome biology. 11(3). R35–R35. 139 indexed citations
16.
Parikh, Anup, Eryong Huang, Christopher Dinh, et al.. (2010). New components of the Dictyostelium PKA pathway revealed by Bayesian analysis of expression data. BMC Bioinformatics. 11(1). 163–163. 7 indexed citations
17.
Rot, Gregor, Anup Parikh, Tomaž Curk, et al.. (2009). dictyExpress: a Dictyostelium discoideum gene expression database with an explorative data analysis web-based interface. BMC Bioinformatics. 10(1). 265–265. 61 indexed citations
18.
Santorelli, Lorenzo A., Christopher R. L. Thompson, Christopher Dinh, et al.. (2008). Facultative cheater mutants reveal the genetic complexity of cooperation in social amoebae. Nature. 451(7182). 1107–1110. 104 indexed citations
19.
Dunlop, R., et al.. (1979). Turbine-Generator Shaft Torques and Fatigue: Part II - Impact of System Distribances and High Speed Reclosure. IEEE Transactions on Power Apparatus and Systems. PAS-98(6). 2308–2328. 22 indexed citations
20.
Dunlop, R. & Anup Parikh. (1979). Verification of Synchronous Machine Modeling in Stability Studies: Comparative Tests of Digital and Physical Scale Model Power System Simulations. IEEE Transactions on Power Apparatus and Systems. PAS-98(2). 369–378. 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.

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