Rahul Mangharam

4.6k total citations · 1 hit paper
170 papers, 3.0k citations indexed

About

Rahul Mangharam is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Rahul Mangharam has authored 170 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Control and Systems Engineering, 50 papers in Computational Theory and Mathematics and 40 papers in Computer Networks and Communications. Recurrent topics in Rahul Mangharam's work include Formal Methods in Verification (37 papers), Real-Time Systems Scheduling (28 papers) and Advanced Control Systems Optimization (23 papers). Rahul Mangharam is often cited by papers focused on Formal Methods in Verification (37 papers), Real-Time Systems Scheduling (28 papers) and Advanced Control Systems Optimization (23 papers). Rahul Mangharam collaborates with scholars based in United States, Canada and Italy. Rahul Mangharam's co-authors include Miroslav Pajić, Raj Rajkumar, Madhur Behl, Achin Jain, George J. Pappas, Francesco Smarra, Zhihao Jiang, Anthony Rowe, Truong X. Nghiem and Houssam Abbas and has published in prestigious journals such as IEEE Transactions on Automatic Control, Proceedings of the IEEE and Applied Energy.

In The Last Decade

Rahul Mangharam

161 papers receiving 2.8k citations

Hit Papers

Data-driven model predictive control using random forests... 2018 2026 2020 2023 2018 50 100 150 200 250
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. Data-driven model predictive control using random forests for building energy optimization and climate control
    2018 254 citations Achin Jain, Rahul Mangharam et al. profile →

Peers

Rahul Mangharam
Qi Zhu United States
Sherif Abdelwahed United States
Guoqi Xie China
Christos G. Panayiotou Cyprus
Karl-Erik Årzén Sweden
Paolo Ferrari Italy
Stefano Rinaldi Italy
Ming Gu China
Saurabh Amin United States
Yugeng Xi China
Qi Zhu United States
Rahul Mangharam
Citations per year, relative to Rahul Mangharam Rahul Mangharam (= 1×) peers Qi Zhu

Countries citing papers authored by Rahul Mangharam

Since Specialization
Citations

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

Fields of papers citing papers by Rahul Mangharam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rahul Mangharam

This figure shows the co-authorship network connecting the top 25 collaborators of Rahul Mangharam. A scholar is included among the top collaborators of Rahul Mangharam 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 Rahul Mangharam. Rahul Mangharam 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.
2.
Betz, Johannes, et al.. (2024). F1TENTH: Enhancing Autonomous Systems Education Through Hands-On Learning and Competition. IEEE Transactions on Intelligent Vehicles. 10(10). 4770–4783.
3.
Yang, Shuo, et al.. (2024). Conformal Off-Policy Prediction for Multi-Agent Systems. 1067–1074.
4.
Chen, Yu, Shuo Yang, Rahul Mangharam, & Xiang Yin. (2023). You Don't Know When I Will Arrive: Unpredictable Controller Synthesis for Temporal Logic Tasks. IFAC-PapersOnLine. 56(2). 3591–3597.
5.
Pertsov, Arkady M., et al.. (2023). Individualization of Atrial Tachycardia Models for Clinical Applications: Performance of Fiber-Independent Model. IEEE Transactions on Biomedical Engineering. 71(1). 258–269. 1 indexed citations
6.
Pertsov, Arkady M., Elizabeth M. Cherry, Flavio H. Fenton, et al.. (2022). Fiber Organization Has Little Effect on Electrical Activation Patterns During Focal Arrhythmias in the Left Atrium. IEEE Transactions on Biomedical Engineering. 70(5). 1611–1621. 3 indexed citations
7.
O’Kelly, Matthew, et al.. (2019). F1TENTH: An Open-source Evaluation Environment for Continuous Control and Reinforcement Learning. 123. 77–89. 14 indexed citations
8.
Behl, Madhur, Achin Jain, & Rahul Mangharam. (2016). Data-driven modeling, control and tools for cyber-physical energy systems. arXiv (Cornell University). 35. 15 indexed citations
9.
Jiang, Zhihao & Rahul Mangharam. (2015). High-Confidence Medical Device Software Development. 9(4). 309–391. 1 indexed citations
10.
Behl, Madhur, Truong X. Nghiem, & Rahul Mangharam. (2015). DR-Advisor: A data driven demand response recommender system. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 401–406. 3 indexed citations
11.
Behl, Madhur & Rahul Mangharam. (2014). Evaluation of DR-Advisor on the ASHRAE Great Energy Predictor Shootout Challenge. Scholarly Commons (University of Pennsylvania). 2 indexed citations
12.
Pant, Yash Vardhan, Miroslav Pajić, & Rahul Mangharam. (2012). AUTOPLUG: An Architecture for Remote Electronic Controller Unit Diagnostics in Automotive Systems. Mathematical Biosciences. 328. 108436–108436. 1 indexed citations
13.
Pajić, Miroslav, Shreyas Sundaram, George J. Pappas, & Rahul Mangharam. (2011). A Simple Distributed Method for Control over Wireless Networks. Scholarly Commons (University of Pennsylvania). 3 indexed citations
14.
Drolia, Utsav, et al.. (2011). Demo abstract: AutoPlug — An automotive test-bed for ECU testing, validation and verification. Information Processing in Sensor Networks. 131–132. 3 indexed citations
15.
Pajić, Miroslav, et al.. (2011). Architecture for a fully distributed Wireless Control Network. ScholarlyCommons (University of Pennsylvania). 117–118. 1 indexed citations
16.
Martin, Paul, et al.. (2011). Demo abstract: R.A.V.E.N. — Remote autonomous vehicle explorer network. ScholarlyCommons (University of Pennsylvania). 123–124. 1 indexed citations
17.
Jiang, Zhihao, Miroslav Pajić, & Rahul Mangharam. (2011). Demo abstract: Closed-loop testing for implantable cardiac pacemakers. Information Processing in Sensor Networks. 119–120. 1 indexed citations
18.
Pajić, Miroslav & Rahul Mangharam. (2009). Anti-jamming for embedded wireless networks. Information Processing in Sensor Networks. 301–312. 14 indexed citations
19.
Mangharam, Rahul, Miroslav Pajić, & Shivakumar Sastry. (2009). Demo abstract: Embedded Virtual Machines for wireless industrial automation. Information Processing in Sensor Networks. 413–414. 1 indexed citations
20.
Mangharam, Rahul, et al.. (2008). Real-Time Embedded Wireless Networks: Algorithms and Experiences. 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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