Prahar M. Bhatt

1.1k total citations · 1 hit paper
31 papers, 783 citations indexed

About

Prahar M. Bhatt is a scholar working on Control and Systems Engineering, Automotive Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Prahar M. Bhatt has authored 31 papers receiving a total of 783 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Control and Systems Engineering, 15 papers in Automotive Engineering and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Prahar M. Bhatt's work include Robot Manipulation and Learning (17 papers), Additive Manufacturing and 3D Printing Technologies (15 papers) and Manufacturing Process and Optimization (10 papers). Prahar M. Bhatt is often cited by papers focused on Robot Manipulation and Learning (17 papers), Additive Manufacturing and 3D Printing Technologies (15 papers) and Manufacturing Process and Optimization (10 papers). Prahar M. Bhatt collaborates with scholars based in United States. Prahar M. Bhatt's co-authors include Satyandra K. Gupta, Rishi K. Malhan, Yeo Jung Yoon, P. Rajendran, Brual C. Shah, Shantanu Thakar, Ariyan M. Kabir, Aniruddha V. Shembekar, Hugh A. Bruck and Ashish Kulkarni and has published in prestigious journals such as Additive manufacturing, The International Journal of Advanced Manufacturing Technology and Robotics and Autonomous Systems.

In The Last Decade

Prahar M. Bhatt

31 papers receiving 768 citations

Hit Papers

Image-Based Surface Defec... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Prahar M. Bhatt United States 14 335 321 289 212 179 31 783
Rishi K. Malhan United States 16 361 1.1× 222 0.7× 254 0.9× 273 1.3× 244 1.4× 38 809
Chengkai Dai Hong Kong 9 171 0.5× 354 1.1× 165 0.6× 72 0.3× 146 0.8× 16 569
Yeo Jung Yoon United States 8 256 0.8× 207 0.6× 164 0.6× 89 0.4× 89 0.5× 13 490
Milan Sága Slovakia 23 352 1.1× 256 0.8× 866 3.0× 180 0.8× 86 0.5× 147 1.3k
Guoxin Fang United Kingdom 16 281 0.8× 594 1.9× 283 1.0× 111 0.5× 112 0.6× 38 939
Qiao Sun Canada 13 150 0.4× 237 0.7× 278 1.0× 272 1.3× 65 0.4× 79 835
Ivan Kuric Slovakia 19 293 0.9× 210 0.7× 422 1.5× 135 0.6× 77 0.4× 88 824
Nathan Larkin Australia 11 298 0.9× 524 1.6× 650 2.2× 202 1.0× 126 0.7× 26 943
Joseph Polden Australia 15 433 1.3× 498 1.6× 880 3.0× 183 0.9× 166 0.9× 33 1.3k
Weizhong Guo China 16 177 0.5× 245 0.8× 388 1.3× 550 2.6× 43 0.2× 101 954

Countries citing papers authored by Prahar M. Bhatt

Since Specialization
Citations

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

Fields of papers citing papers by Prahar M. Bhatt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prahar M. Bhatt. 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 Prahar M. Bhatt. The network helps show where Prahar M. Bhatt may publish in the future.

Co-authorship network of co-authors of Prahar M. Bhatt

This figure shows the co-authorship network connecting the top 25 collaborators of Prahar M. Bhatt. A scholar is included among the top collaborators of Prahar M. Bhatt 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 Prahar M. Bhatt. Prahar M. Bhatt 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.
Bhatt, Prahar M., et al.. (2025). Human-Process-Inspired Automated Layer Segmentation for Quality Assessment in Wire-Arc Additive Manufacturing. IEEE Transactions on Automation Science and Engineering. 23. 2256–2267. 2 indexed citations
2.
Yoon, Yeo Jung, et al.. (2022). A Mobile Manipulator System for Accurate and Efficient Spraying on Large Surfaces. Procedia Computer Science. 200. 1528–1539. 11 indexed citations
3.
Bhatt, Prahar M., Andrzej Nycz, & Satyandra K. Gupta. (2022). Optimizing Multi-Robot Placements for Wire Arc Additive Manufacturing. 2022 International Conference on Robotics and Automation (ICRA). 7942–7948. 5 indexed citations
5.
Bhatt, Prahar M., Rishi K. Malhan, P. Rajendran, et al.. (2021). Image-Based Surface Defect Detection Using Deep Learning: A Review. Journal of Computing and Information Science in Engineering. 21(4). 205 indexed citations breakdown →
6.
Bhatt, Prahar M., Rishi K. Malhan, P. Rajendran, Aniruddha V. Shembekar, & Satyandra K. Gupta. (2021). Trajectory-Dependent Compensation Scheme to Reduce Manipulator Execution Errors for Manufacturing Applications. 3 indexed citations
8.
Malhan, Rishi K., et al.. (2021). Algorithms for Improving Speed and Accuracy of Automated Three-Dimensional Reconstruction With a Depth Camera Mounted on An Industrial Robot. Journal of Computing and Information Science in Engineering. 22(3). 9 indexed citations
9.
Bhatt, Prahar M., Ashish Kulkarni, Rishi K. Malhan, & Satyandra K. Gupta. (2021). Optimizing Part Placement for Improving Accuracy of Robot-Based Additive Manufacturing. 859–865. 8 indexed citations
10.
Thakar, Shantanu, Rishi K. Malhan, Prahar M. Bhatt, & Satyandra K. Gupta. (2021). Area-Coverage Planning for Spray-based Surface Disinfection with a Mobile Manipulator. Robotics and Autonomous Systems. 147. 103920–103920. 17 indexed citations
11.
Bhatt, Prahar M., Cheng Gong, Ariyan M. Kabir, et al.. (2020). Incorporating Tool Contact Considerations in Tool-Path Planning for Robotic Operations. 6 indexed citations
12.
Rajendran, P., Shantanu Thakar, Prahar M. Bhatt, Ariyan M. Kabir, & Satyandra K. Gupta. (2020). Strategies for Speeding Up Manipulator Path Planning to Find High Quality Paths in Cluttered Environments. Journal of Computing and Information Science in Engineering. 21(1). 13 indexed citations
13.
Malhan, Rishi K., et al.. (2020). Online Grasp Plan Refinement for Reducing Defects During Robotic Layup of Composite Prepreg Sheets. 11500–11507. 6 indexed citations
14.
Kabir, Ariyan M., Shantanu Thakar, Prahar M. Bhatt, et al.. (2020). Incorporating Motion Planning Feasibility Considerations during Task-Agent Assignment to Perform Complex Tasks Using Mobile Manipulators. 18 indexed citations
15.
Bhatt, Prahar M., Rishi K. Malhan, P. Rajendran, & Satyandra K. Gupta. (2019). Building free-form thin shell parts using supportless extrusion-based additive manufacturing. Additive manufacturing. 32. 101003–101003. 49 indexed citations
16.
Thakar, Shantanu, Ariyan M. Kabir, Prahar M. Bhatt, et al.. (2019). Task Assignment and Motion Planning for Bi-Manual Mobile Manipulation. 910–915. 13 indexed citations
17.
Bhatt, Prahar M., Ariyan M. Kabir, Rishi K. Malhan, et al.. (2019). A Robotic Cell for Multi-Resolution Additive Manufacturing. 2800–2807. 40 indexed citations
18.
Bhatt, Prahar M., Ariyan M. Kabir, Rishi K. Malhan, et al.. (2019). Concurrent Design of Tool-Paths and Impedance Controllers for Performing Area Coverage Operations in Manufacturing Applications under Uncertainty. 24. 1151–1156. 7 indexed citations
19.
20.
Bhatt, Prahar M., et al.. (2019). Context-Dependent Compensation Scheme to Reduce Trajectory Execution Errors for Industrial Manipulators. 5578–5584. 17 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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