Shobhit Gupta

3.1k total citations · 1 hit paper
37 papers, 2.0k citations indexed

About

Shobhit Gupta is a scholar working on Automotive Engineering, Control and Systems Engineering and Molecular Biology. According to data from OpenAlex, Shobhit Gupta has authored 37 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Automotive Engineering, 9 papers in Control and Systems Engineering and 7 papers in Molecular Biology. Recurrent topics in Shobhit Gupta's work include Vehicle emissions and performance (17 papers), Electric and Hybrid Vehicle Technologies (9 papers) and Traffic control and management (8 papers). Shobhit Gupta is often cited by papers focused on Vehicle emissions and performance (17 papers), Electric and Hybrid Vehicle Technologies (9 papers) and Traffic control and management (8 papers). Shobhit Gupta collaborates with scholars based in United States, Italy and India. Shobhit Gupta's co-authors include William Stafford Noble, J Stamatoyannopoulos, Timothy L. Bailey, Marcello Canova, T. Ni, John A. Pinson, Robert J. Santoro, Martin Vingron, Stefan A. Haas and Bernhard Korn and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Genome Research.

In The Last Decade

Shobhit Gupta

37 papers receiving 2.0k citations

Hit Papers

Quantifying similarity between motifs 2007 2026 2013 2019 2007 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shobhit Gupta United States 15 1.3k 296 244 221 148 37 2.0k
Maria Karlsson Sweden 23 1.8k 1.4× 2.0k 6.6× 56 0.2× 95 0.4× 33 0.2× 60 3.5k
Satoru Watanabe Japan 29 1.6k 1.2× 409 1.4× 34 0.1× 195 0.9× 89 0.6× 133 2.8k
R. Jürgen Dohmen Germany 37 4.4k 3.3× 421 1.4× 114 0.5× 397 1.8× 162 1.1× 78 5.1k
Kouichi Hirata Japan 18 457 0.3× 125 0.4× 28 0.1× 47 0.2× 82 0.6× 131 1.3k
Zhihang Chen China 17 154 0.1× 45 0.2× 173 0.7× 91 0.4× 20 0.1× 41 915
Jing Tu China 22 665 0.5× 78 0.3× 15 0.1× 101 0.5× 244 1.6× 139 1.6k
Christian Andersson Sweden 11 562 0.4× 44 0.1× 40 0.2× 46 0.2× 29 0.2× 25 1.1k
Rohit Gupta India 19 412 0.3× 59 0.2× 35 0.1× 55 0.2× 130 0.9× 73 951
Toshihiro Nakamura Japan 19 209 0.2× 150 0.5× 20 0.1× 163 0.7× 18 0.1× 51 1.4k
Tim Maiwald Germany 12 954 0.7× 62 0.2× 14 0.1× 140 0.6× 48 0.3× 14 1.9k

Countries citing papers authored by Shobhit Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Shobhit Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shobhit Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of Shobhit Gupta. A scholar is included among the top collaborators of Shobhit Gupta 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 Shobhit Gupta. Shobhit Gupta 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
2.
Gupta, Shobhit, et al.. (2024). Performance Evaluation of an Eco-Driving Controller for Fuel Cell Electric Trucks in Real-World Driving Conditions. SAE technical papers on CD-ROM/SAE technical paper series. 1. 6 indexed citations
3.
Gupta, Shobhit, et al.. (2023). Age and Gender Prediction using Deep Learning Framework. 613–617. 1 indexed citations
4.
Gupta, Shobhit, et al.. (2023). A Deep Reinforcement Learning Framework for Eco-Driving in Connected and Automated Hybrid Electric Vehicles. IEEE Transactions on Vehicular Technology. 73(2). 1713–1725. 18 indexed citations
5.
Gupta, Shobhit, et al.. (2023). Predicting Lead Vehicle Velocity for Eco-Driving in the Absence of V2V Information. SAE International Journal of Advances and Current Practices in Mobility. 5(6). 2278–2287. 2 indexed citations
6.
Gupta, Shobhit, et al.. (2022). Safe Model-Based Off-Policy Reinforcement Learning for Eco-Driving in Connected and Automated Hybrid Electric Vehicles. IEEE Transactions on Intelligent Vehicles. 7(2). 387–398. 48 indexed citations
7.
Gupta, Shobhit, et al.. (2022). A Computationally Efficient Algorithm for Perturbed Dynamic Programs (A-PDP). IEEE Control Systems Letters. 7. 847–852. 1 indexed citations
8.
Singh, Digvijay, Tae Soo Kim, Shobhit Gupta, et al.. (2022). Video-based assessment of intraoperative surgical skill. International Journal of Computer Assisted Radiology and Surgery. 17(10). 1801–1811. 14 indexed citations
9.
Gupta, Shobhit, et al.. (2021). In-Vehicle Test Results for Advanced Propulsion and Vehicle System Controls Using Connected and Automated Vehicle Information. SAE International Journal of Advances and Current Practices in Mobility. 3(6). 2915–2930. 13 indexed citations
10.
Gupta, Shobhit, et al.. (2021). Real-Time Ecodriving Control in Electrified Connected and Autonomous Vehicles Using Approximate Dynamic Programing. Journal of Dynamic Systems Measurement and Control. 144(1). 23 indexed citations
11.
Sexton, Brittany S., Denis Avey, Daniel L. Vera, et al.. (2013). The spring-loaded genome: Nucleosome redistributions are widespread, transient, and DNA-directed. Genome Research. 24(2). 251–259. 24 indexed citations
12.
Gupta, Shobhit, et al.. (2010). Unraveling the conundrum of seemingly discordant protein-protein interaction datasets. PubMed. 34. 783–786. 11 indexed citations
13.
Gupta, Shobhit, Jonathan H. Dennis, Robert E. Thurman, et al.. (2008). Predicting Human Nucleosome Occupancy from Primary Sequence. PLoS Computational Biology. 4(8). e1000134–e1000134. 95 indexed citations
14.
Gupta, Shobhit, J Stamatoyannopoulos, Timothy L. Bailey, & William Stafford Noble. (2007). Quantifying similarity between motifs. Genome biology. 8(2). R24–R24. 1343 indexed citations breakdown →
15.
Gupta, Shobhit, Martin Vingron, & Stefan A. Haas. (2005). T-STAG: resource and web-interface for tissue-specific transcripts and genes. Nucleic Acids Research. 33(Web Server). W654–W658. 10 indexed citations
16.
Gupta, Shobhit, Dorothea Zink, Bernhard Korn, Martin Vingron, & Stefan A. Haas. (2004). Strengths and weaknesses of EST-based prediction of tissue-specific alternative splicing. BMC Genomics. 5(1). 72–72. 37 indexed citations
17.
Gupta, Shobhit, Dorothea Zink, Bernhard Korn, Martin Vingron, & Stefan A. Haas. (2004). Genome wide identification and classification of alternative splicing based on EST data. Bioinformatics. 20(16). 2579–2585. 70 indexed citations
18.
Gupta, Shobhit, Ramesh B. Poola, & R. Sekar. (2001). Issues for Measuring Diesel Exhaust Particulates Using Laser Induced Incandescence. SAE technical papers on CD-ROM/SAE technical paper series. 1. 5 indexed citations
19.
Gupta, Shobhit. (1985). Low-Grade Fuel Engines in the United States. Marine Technology and SNAME News. 22(2). 179–187. 2 indexed citations
20.
deMan, J.M., et al.. (1984). Instrumentation for thermopenetrometry of fats. Journal of the American Oil Chemists Society. 61(10). 1569–1570. 4 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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