Anil Aswani

2.4k total citations · 1 hit paper
45 papers, 1.4k citations indexed

About

Anil Aswani is a scholar working on Control and Systems Engineering, Molecular Biology and General Health Professions. According to data from OpenAlex, Anil Aswani has authored 45 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Control and Systems Engineering, 9 papers in Molecular Biology and 8 papers in General Health Professions. Recurrent topics in Anil Aswani's work include Gene Regulatory Network Analysis (8 papers), Advanced Control Systems Optimization (8 papers) and Smart Grid Energy Management (6 papers). Anil Aswani is often cited by papers focused on Gene Regulatory Network Analysis (8 papers), Advanced Control Systems Optimization (8 papers) and Smart Grid Energy Management (6 papers). Anil Aswani collaborates with scholars based in United States, Philippines and Russia. Anil Aswani's co-authors include Claire J. Tomlin, Humberto González, Shankar Sastry, Yoshimi Fukuoka, Neal Master, Jay Taneja, David Culler, Michael E. Lee, John E. Dueber and Ken Goldberg and has published in prestigious journals such as Nucleic Acids Research, IEEE Transactions on Automatic Control and Proceedings of the IEEE.

In The Last Decade

Anil Aswani

41 papers receiving 1.4k citations

Hit Papers

Provably safe and robust learning-based model predictive ... 2013 2026 2017 2021 2013 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Provably safe and robust learning-based model predictive control
    2013 331 citations Anil Aswani, Humberto González et al. Automatica profile →

Peers

Anil Aswani
Bala Srinivasan Australia
Dipankar Dasgupta United States
Muhammad Fermi Pasha Malaysia
Iqbal Gondal Australia
Ashkan Sami Iran
Suleman Khan India
Srinivas Sampalli Canada
Sriram Chellappan United States
Bala Srinivasan Australia
Anil Aswani
Citations per year, relative to Anil Aswani Anil Aswani (= 1×) peers Bala Srinivasan

Countries citing papers authored by Anil Aswani

Since Specialization
Citations

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

Fields of papers citing papers by Anil Aswani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anil Aswani

This figure shows the co-authorship network connecting the top 25 collaborators of Anil Aswani. A scholar is included among the top collaborators of Anil Aswani 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 Anil Aswani. Anil Aswani 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.
Aswani, Anil, et al.. (2023). Behavioral analytics for myopic agents. European Journal of Operational Research. 310(2). 793–811. 2 indexed citations
2.
Steurer, Martina A., et al.. (2020). Predicting NICU admissions in near-term and term infants with low illness acuity. Journal of Perinatology. 41(3). 478–485. 7 indexed citations
3.
Aswani, Anil, et al.. (2020). Statistical Consistency of Set-Membership Estimator for Linear Systems. IEEE Control Systems Letters. 4(3). 668–673. 3 indexed citations
4.
Risom, Tyler, et al.. (2019). Modeling differentiation-state transitions linked to therapeutic escape in triple-negative breast cancer. PLoS Computational Biology. 15(3). e1006840–e1006840. 12 indexed citations
5.
Fukuoka, Yoshimi, et al.. (2019). Applying machine learning to predict future adherence to physical activity programs. BMC Medical Informatics and Decision Making. 19(1). 169–169. 32 indexed citations
6.
Aswani, Anil, et al.. (2018). Spectral Algorithms for Computing Fair Support Vector Machines.. International Conference on Artificial Intelligence and Statistics. 1933–1942. 5 indexed citations
7.
Fukuoka, Yoshimi, et al.. (2018). Objectively Measured Baseline Physical Activity Patterns in Women in the mPED Trial: Cluster Analysis. JMIR Public Health and Surveillance. 4(1). e10–e10. 20 indexed citations
8.
Fukuoka, Yoshimi, et al.. (2018). Evaluating Machine Learning–Based Automated Personalized Daily Step Goals Delivered Through a Mobile Phone App: Randomized Controlled Trial. JMIR mhealth and uhealth. 6(1). e28–e28. 70 indexed citations
9.
Miller, Anne, et al.. (2018). Using telephone call rates and nurse-to-patient ratios as measures of resilient performance under high patient flow conditions. Cognition Technology & Work. 21(2). 225–236. 3 indexed citations
10.
11.
Aswani, Anil, et al.. (2018). Behavioral modeling in weight loss interventions. European Journal of Operational Research. 272(3). 1058–1072. 20 indexed citations
12.
Aswani, Anil, et al.. (2018). Family-Personalized Dietary Planning with Temporal Dynamics. 2163–2169.
13.
14.
Aswani, Anil, et al.. (2016). Behavioral Modeling in Weight Loss Interventions. SSRN Electronic Journal. 3 indexed citations
15.
Aswani, Anil, Humberto González, Shankar Sastry, & Claire J. Tomlin. (2013). Provably safe and robust learning-based model predictive control. Automatica. 49(5). 1216–1226. 331 indexed citations breakdown →
16.
Aswani, Anil, Jerry Ding, Haomiao Huang, et al.. (2012). Verification and control of hybrid systems using reachability analysis with machine learning. 1–2. 1 indexed citations
17.
Aswani, Anil, Neal Master, Jay Taneja, et al.. (2012). Identifying models of HVAC systems using semiparametric regression. 3675–3680. 47 indexed citations
18.
Aswani, Anil, Neal Master, Jay Taneja, David Culler, & Claire J. Tomlin. (2011). Reducing Transient and Steady State Electricity Consumption in HVAC Using Learning-Based Model-Predictive Control. Proceedings of the IEEE. 100(1). 240–253. 212 indexed citations
19.
Aswani, Anil, Soile V.E. Keränen, James Brown, et al.. (2010). Nonparametric identification of regulatory interactions from spatial and temporal gene expression data. BMC Bioinformatics. 11(1). 413–413. 8 indexed citations
20.
Aswani, Anil & Claire J. Tomlin. (2010). Computer-aided drug discovery for pathway and genetic diseases. 1. 4709–4714. 7 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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