Sunil Deshpande

610 total citations
29 papers, 363 citations indexed

About

Sunil Deshpande is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Control and Systems Engineering. According to data from OpenAlex, Sunil Deshpande has authored 29 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Endocrinology, Diabetes and Metabolism, 12 papers in Surgery and 8 papers in Control and Systems Engineering. Recurrent topics in Sunil Deshpande's work include Diabetes Management and Research (16 papers), Pancreatic function and diabetes (12 papers) and Control Systems and Identification (6 papers). Sunil Deshpande is often cited by papers focused on Diabetes Management and Research (16 papers), Pancreatic function and diabetes (12 papers) and Control Systems and Identification (6 papers). Sunil Deshpande collaborates with scholars based in United States, Portugal and India. Sunil Deshpande's co-authors include Daniel E. Rivera, Eyal Dassau, Francis J. Doyle, Jarred Younger, Jordan E. Pinsker, Naresh N. Nandola, Mei Mei Church, Camille André, Eric B. Hekler and César A. Martín and has published in prestigious journals such as Diabetes Care, IEEE Transactions on Automatic Control and Diabetes.

In The Last Decade

Sunil Deshpande

27 papers receiving 360 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sunil Deshpande United States 14 203 159 98 58 41 29 363
J. Dziura United States 3 397 2.0× 366 2.3× 250 2.6× 14 0.2× 33 0.8× 9 680
Zacharie Maloney United States 11 226 1.1× 128 0.8× 88 0.9× 72 1.2× 7 0.2× 15 351
Rebecca A. Harvey United States 10 312 1.5× 278 1.7× 187 1.9× 34 0.6× 3 0.1× 18 440
Christian Wakeman United States 12 420 2.1× 274 1.7× 231 2.4× 6 0.1× 3 0.1× 16 463
C. Burgos Lazaro United States 10 275 1.4× 174 1.1× 126 1.3× 62 1.1× 2 0.0× 18 376
Nichole S. Tyler United States 10 328 1.6× 187 1.2× 162 1.7× 8 0.1× 7 0.2× 17 446
Lori Carria United States 16 1.0k 5.1× 863 5.4× 652 6.7× 8 0.1× 10 0.2× 19 1.1k
Joon Bok Lee United States 10 611 3.0× 519 3.3× 372 3.8× 67 1.2× 4 0.1× 18 705
Evgenii Pustozerov Russia 9 67 0.3× 67 0.4× 26 0.3× 2 0.0× 18 0.4× 28 318
Natalie Kurtz United States 15 1.2k 5.9× 1.0k 6.4× 765 7.8× 34 0.6× 6 0.1× 25 1.3k

Countries citing papers authored by Sunil Deshpande

Since Specialization
Citations

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

Fields of papers citing papers by Sunil Deshpande

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunil Deshpande

This figure shows the co-authorship network connecting the top 25 collaborators of Sunil Deshpande. A scholar is included among the top collaborators of Sunil Deshpande 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 Sunil Deshpande. Sunil Deshpande 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.
Levy, Carol J., Yogish C. Kudva, Kristin Castorino, et al.. (2023). At-Home Use of a Pregnancy-Specific Zone-MPC Closed-Loop System for Pregnancies Complicated by Type 1 Diabetes: A Single-Arm, Observational Multicenter Study. Diabetes Care. 46(7). 1425–1431. 28 indexed citations
2.
Guo, Penghong, Daniel E. Rivera, Sunil Deshpande, et al.. (2022). Optimizing behavioral interventions to regulate gestational weight gain with sequential decision policies using hybrid model predictive control. Computers & Chemical Engineering. 160. 107721–107721. 7 indexed citations
3.
Kaur, Ravinder Jeet, Sunil Deshpande, Jordan E. Pinsker, et al.. (2022). Outpatient Randomized Crossover Automated Insulin Delivery Versus Conventional Therapy with Induced Stress Challenges. Diabetes Technology & Therapeutics. 24(5). 338–349. 2 indexed citations
4.
Deshpande, Sunil, et al.. (2022). Zone-MPC Automated Insulin Delivery Algorithm Tuned for Pregnancy Complicated by Type 1 Diabetes. Frontiers in Endocrinology. 12. 768639–768639. 15 indexed citations
5.
Aiello, Eleonora M., et al.. (2021). Review of automated insulin delivery systems for individuals with type 1 diabetes: tailored solutions for subpopulations. Current Opinion in Biomedical Engineering. 19. 100312–100312. 26 indexed citations
6.
Deshpande, Sunil, Jordan E. Pinsker, Mei Mei Church, et al.. (2020). Randomized Crossover Comparison of Automated Insulin Delivery Versus Conventional Therapy Using an Unlocked Smartphone with Scheduled Pasta and Rice Meal Challenges in the Outpatient Setting. Diabetes Technology & Therapeutics. 22(12). 865–874. 10 indexed citations
7.
Deshpande, Sunil, et al.. (2020). Towards Insulin Monitoring: Infrequent Kalman Filter Estimates for Diabetes Management. IFAC-PapersOnLine. 53(2). 15877–15883. 2 indexed citations
8.
Massa, Jennifer, Sunil Deshpande, Jordan E. Pinsker, et al.. (2019). The Effect of Two Types of Pasta Versus White Rice on Postprandial Blood Glucose Levels in Adults with Type 1 Diabetes: A Randomized Crossover Trial. Diabetes Technology & Therapeutics. 21(9). 485–492. 14 indexed citations
9.
Deshpande, Sunil, Jordan E. Pinsker, Dawei Shi, et al.. (2018). Design and Clinical Evaluation of the Interoperable Artificial Pancreas System (iAPS) Smartphone App: Interoperable Components with Modular Design for Progressive Artificial Pancreas Research and Development. Diabetes Technology & Therapeutics. 21(1). 35–43. 36 indexed citations
10.
Mulla, Christopher M., Kristen M. Fowler, Allison B. Goldfine, et al.. (2018). Design and Clinical Evaluation of a Novel Low-Glucose Prediction Algorithm with Mini-Dose Stable Glucagon Delivery in Post-Bariatric Hypoglycemia. Diabetes Technology & Therapeutics. 20(2). 127–139. 26 indexed citations
11.
Howsmon, Daniel P., Nihat Baysal, Bruce A. Buckingham, et al.. (2018). Real-Time Detection of Infusion Site Failures in a Closed-Loop Artificial Pancreas. Journal of Diabetes Science and Technology. 12(3). 599–607. 17 indexed citations
12.
Forlenza, Gregory P., Sunil Deshpande, Trang T. Ly, et al.. (2017). Application of Zone Model Predictive Control Artificial Pancreas During Extended Use of Infusion Set and Sensor: A Randomized Crossover-Controlled Home-Use Trial. Diabetes Care. 40(8). 1096–1102. 39 indexed citations
13.
Martín, César A., Sunil Deshpande, Eric B. Hekler, & Daniel E. Rivera. (2015). A system identification approach for improving behavioral interventions based on Social Cognitive Theory. 5878–5883. 18 indexed citations
14.
Deshpande, Sunil, et al.. (2014). Hybrid model predictive control for sequential decision policies in adaptive behavioral interventions. PubMed. 2014. 4198–4203. 14 indexed citations
15.
Deshpande, Sunil, Daniel E. Rivera, Jarred Younger, & Naresh N. Nandola. (2014). A control systems engineering approach for adaptive behavioral interventions: illustration with a fibromyalgia intervention. Translational Behavioral Medicine. 4(3). 275–289. 16 indexed citations
16.
Deshpande, Sunil, Naresh N. Nandola, Daniel E. Rivera, & Jarred Younger. (2014). Optimized treatment of fibromyalgia using system identification and hybrid model predictive control. Control Engineering Practice. 33. 161–173. 19 indexed citations
17.
Santos, P. Lopes dos, et al.. (2014). LPV system identification using a separable least squares support vector machines approach. NSUWorks (Nova Southeastern University). 2548–2554. 11 indexed citations
18.
Deshpande, Sunil & Daniel E. Rivera. (2013). Optimal input signal design for data-centric estimation methods. PubMed. 149. 3924–3929. 4 indexed citations
19.
20.
Deshpande, Sunil, Naresh N. Nandola, Daniel E. Rivera, & Jarred Younger. (2011). A control engineering approach for designing an optimized treatment plan for fibromyalgia. PubMed. 2011. 4798–4803. 19 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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