Vishwesh Kulkarni

991 total citations
40 papers, 640 citations indexed

About

Vishwesh Kulkarni is a scholar working on Molecular Biology, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, Vishwesh Kulkarni has authored 40 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 16 papers in Control and Systems Engineering and 9 papers in Computer Networks and Communications. Recurrent topics in Vishwesh Kulkarni's work include Gene Regulatory Network Analysis (13 papers), Stability and Control of Uncertain Systems (11 papers) and Advanced biosensing and bioanalysis techniques (8 papers). Vishwesh Kulkarni is often cited by papers focused on Gene Regulatory Network Analysis (13 papers), Stability and Control of Uncertain Systems (11 papers) and Advanced biosensing and bioanalysis techniques (8 papers). Vishwesh Kulkarni collaborates with scholars based in United States, United Kingdom and India. Vishwesh Kulkarni's co-authors include Michael G. Safonov, Declan G. Bates, Francesco Montefusco, Éric Féron, Khushal Khambhati, Jongmin Kim, Nisarg Gohil, Gargi Bhattacharjee, Darren Braddick and Vijai Singh and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and BMC Bioinformatics.

In The Last Decade

Vishwesh Kulkarni

39 papers receiving 629 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vishwesh Kulkarni United States 14 320 232 61 57 56 40 640
Andreas Hofmann Germany 16 275 0.9× 267 1.2× 30 0.5× 47 0.8× 221 3.9× 56 734
Zhongshen Li China 14 272 0.8× 148 0.6× 49 0.8× 37 0.6× 107 1.9× 48 703
Yoshihisa Ishida Japan 10 211 0.7× 233 1.0× 14 0.2× 120 2.1× 74 1.3× 105 703
Nathan P. Lawrence Canada 13 160 0.5× 222 1.0× 37 0.6× 21 0.4× 62 1.1× 24 506
Ioannis Lestas United Kingdom 15 355 1.1× 455 2.0× 46 0.8× 52 0.9× 394 7.0× 74 1.1k
Fang‐Chieh Chou United States 19 540 1.7× 188 0.8× 9 0.1× 65 1.1× 56 1.0× 37 1.4k
Zhenhua Shao China 11 107 0.3× 235 1.0× 46 0.8× 11 0.2× 28 0.5× 22 405
Yu Shao China 11 173 0.5× 417 1.8× 116 1.9× 7 0.1× 21 0.4× 46 673

Countries citing papers authored by Vishwesh Kulkarni

Since Specialization
Citations

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

Fields of papers citing papers by Vishwesh Kulkarni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vishwesh Kulkarni

This figure shows the co-authorship network connecting the top 25 collaborators of Vishwesh Kulkarni. A scholar is included among the top collaborators of Vishwesh Kulkarni 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 Vishwesh Kulkarni. Vishwesh Kulkarni 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.
Scott-Brown, James, Prashant Vaidyanathan, Gonzalo Vidal, et al.. (2023). Synthetic biology open language (SBOL) version 3.1.0. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 20(1). 10 indexed citations
2.
Kulkarni, Vishwesh, et al.. (2021). Prediction of the Development of Gestational Diabetes Mellitus in Pregnant Women Using Machine Learning Methods. SHILAP Revista de lepidopterología. 26(2). 228845–1. 2 indexed citations
3.
Kulkarni, Vishwesh, James Alastair McLaughlin, Prashant Vaidyanathan, et al.. (2020). Synthetic biology open language (SBOL) version 3.0.0. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 17(2-3). 16 indexed citations
4.
Khambhati, Khushal, Gargi Bhattacharjee, Nisarg Gohil, et al.. (2019). Exploring the Potential of Cell-Free Protein Synthesis for Extending the Abilities of Biological Systems. Frontiers in Bioengineering and Biotechnology. 7. 248–248. 83 indexed citations
5.
Foo, Mathias, et al.. (2016). Biologically inspired design of feedback control systems implemented using DNA strand displacement reactions. PubMed. 2016. 1455–1458. 5 indexed citations
6.
Kulkarni, Vishwesh, et al.. (2016). An overview of innovations and industrial solutions in Protein Microarray Technology. PROTEOMICS. 16(8). 1297–1308. 30 indexed citations
7.
Montefusco, Francesco, et al.. (2015). Biomolecular implementation of a quasi sliding mode feedback controller based on DNA strand displacement reactions. PubMed. 2015. 949–952. 15 indexed citations
8.
Lusczek, Elizabeth R., Tyrone L. Vincent, Daniel R. Lexcen, et al.. (2015). Metabolic networks in a porcine model of trauma and hemorrhagic shock demonstrate different control mechanism with carbohydrate pre-feed. BMC Emergency Medicine. 15(1). 13–13. 2 indexed citations
9.
Yordanov, Boyan, et al.. (2014). Computational Design of Nucleic Acid Feedback Control Circuits. ACS Synthetic Biology. 3(8). 600–616. 74 indexed citations
10.
Kulkarni, Vishwesh, et al.. (2012). Gene regulatory network modeling using literature curated and high throughput data. PubMed. 6(3-4). 69–77. 7 indexed citations
11.
Kulkarni, Vishwesh, Lucy Y. Pao, & Michael G. Safonov. (2011). On stability analysis of systems featuring a multiplicative combination of nonlinear and linear time‐invariant feedback. International Journal of Robust and Nonlinear Control. 21(18). 2101–2108. 2 indexed citations
12.
Kulkarni, Vishwesh, et al.. (2011). Characterizing the memory of the GAL regulatory network in Saccharomyces cerevisiae. PubMed. 5(3-4). 97–104. 1 indexed citations
13.
Kulkarni, Vishwesh, K. V. Venkatesh, Pushkar Malakar, et al.. (2010). Stability analysis of the GAL regulatory network in Saccharomyces cerevisiae and Kluyveromyces lactis. BMC Bioinformatics. 11(S1). S43–S43. 10 indexed citations
14.
Kulkarni, Vishwesh, Lucy Y. Pao, & Peter Falb. (2006). Stability multipliers for memoryless positive nonlinearities: parameterizations based on the nonlinearity graph. 15. 8 pp.–8 pp..
15.
Kulkarni, Vishwesh, et al.. (2005). ROBUST REJECTION OF PERIODIC AND ALMOST PERIODIC DISTURBANCES. IFAC Proceedings Volumes. 38(1). 133–138. 7 indexed citations
16.
Kulkarni, Vishwesh & Lucy Y. Pao. (2005). A sensor management protocol for tracking with diverse sensors. 2. 5015–5020. 1 indexed citations
17.
Kulkarni, Vishwesh, et al.. (2004). Spatial distribution results for efficient multi-agent navigation. 4. 3776–3781. 6 indexed citations
18.
Kulkarni, Vishwesh & Michael G. Safonov. (2003). Incremental positivity non-preservation by stability multipliers. Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228). 1. 33–38. 5 indexed citations
19.
Kulkarni, Vishwesh & Michael G. Safonov. (2001). All multipliers for repeated monotone nonlinearities. 2292–2296 vol.3. 5 indexed citations
20.
Safonov, Michael G. & Vishwesh Kulkarni. (2000). Zames-Falb multipliers for MIMO nonlinearities. 4144–4148 vol.6. 13 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

Breakdown of academic impact, for papers by Andreas Hofmann Breakdown of academic impact, for papers by Zhongshen Li Breakdown of academic impact, for papers by Yoshihisa Ishida Breakdown of academic impact, for papers by Nathan P. Lawrence Breakdown of academic impact, for papers by Ioannis Lestas Breakdown of academic impact, for papers by Fang‐Chieh Chou Breakdown of academic impact, for papers by Zhenhua Shao Breakdown of academic impact, for papers by Yu Shao
Rankless by CCL
2026