Sisir Karumanchi

742 total citations
22 papers, 418 citations indexed

About

Sisir Karumanchi is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering and Aerospace Engineering. According to data from OpenAlex, Sisir Karumanchi has authored 22 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 8 papers in Mechanical Engineering and 7 papers in Aerospace Engineering. Recurrent topics in Sisir Karumanchi's work include Robotic Path Planning Algorithms (9 papers), Modular Robots and Swarm Intelligence (6 papers) and Robotic Locomotion and Control (6 papers). Sisir Karumanchi is often cited by papers focused on Robotic Path Planning Algorithms (9 papers), Modular Robots and Swarm Intelligence (6 papers) and Robotic Locomotion and Control (6 papers). Sisir Karumanchi collaborates with scholars based in United States, Australia and United Kingdom. Sisir Karumanchi's co-authors include Karl Iagnemma, Sterling J. Anderson, Karl Iagnemma, Junghee Park, Stephen J. Anderson, Joan Walker, Julie Shah, Matthew Antone, Steve Scheding and Kuan‐Ting Yu and has published in prestigious journals such as The International Journal of Robotics Research, IEEE Transactions on Robotics and Journal of Field Robotics.

In The Last Decade

Sisir Karumanchi

22 papers receiving 404 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sisir Karumanchi United States	10	164	159	139	110	103	22	418
Yangsheng Xu Hong Kong	11	105 0.6×	210 1.3×	67 0.5×	128 1.2×	45 0.4×	21	354
Kyle Nelson Australia	11	56 0.3×	178 1.1×	174 1.3×	23 0.2×	170 1.7×	22	412
Kazuyuki Kon Japan	12	174 1.1×	362 2.3×	31 0.2×	104 0.9×	130 1.3×	35	588
Hoa G. Nguyen United States	9	142 0.9×	179 1.1×	36 0.3×	91 0.8×	108 1.0×	39	451
R. Piguet Switzerland	8	217 1.3×	262 1.6×	18 0.1×	264 2.4×	96 0.9×	11	569
Nuria Rodríguez López Spain	5	125 0.8×	73 0.5×	17 0.1×	54 0.5×	113 1.1×	7	474
Zainan Jiang China	11	120 0.7×	213 1.3×	26 0.2×	108 1.0×	133 1.3×	48	402
David Braganza United States	12	62 0.4×	315 2.0×	110 0.8×	182 1.7×	63 0.6×	17	536
Michael Posa United States	13	267 1.6×	575 3.6×	42 0.3×	561 5.1×	95 0.9×	23	910
Noriaki Hirose Japan	13	182 1.1×	241 1.5×	35 0.3×	70 0.6×	107 1.0×	54	496

Countries citing papers authored by Sisir Karumanchi

Since Specialization

Citations

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

Fields of papers citing papers by Sisir Karumanchi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sisir Karumanchi

This figure shows the co-authorship network connecting the top 25 collaborators of Sisir Karumanchi. A scholar is included among the top collaborators of Sisir Karumanchi 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 Sisir Karumanchi. Sisir Karumanchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Karumanchi, Sisir, et al.. (2022). Grasping and Transport of Unstructured Collections of Massive Objects. Lirias (KU Leuven). 2. 385–405. 1 indexed citations

Griffin, Robert J., Inho Lee, P. Neuhaus, et al.. (2022). Quadrupedal Walking over Complex Terrain with a Quasi-Direct Drive Actuated Robot. 2. 356–384. 2 indexed citations

Pusey, Jason, et al.. (2020). LLAMA: Design and Control of an Omnidirectional Human Mission Scale Quadrupedal Robot. 3951–3958. 10 indexed citations

Reid, William J., et al.. (2020). Autonomous Navigation over Europa Analogue Terrain for an Actively Articulated Wheel-on-Limb Rover. 1939–1946. 4 indexed citations

Reid, William J., et al.. (2020). Mobility Mode Evaluation of a Wheel-on-Limb Rover on Glacial Ice Analogous to Europa Terrain. 1–9. 9 indexed citations

Karumanchi, Sisir, Jeremy Nash, Charles Bergh, et al.. (2018). Payload‐centric autonomy for in‐space robotic assembly of modular space structures. Journal of Field Robotics. 35(6). 1005–1021. 17 indexed citations

Karumanchi, Sisir, et al.. (2018). Proprioceptive Inference for Dual-Arm Grasping of Bulky Objects Using RoboSimian. 1. 4049–4056. 2 indexed citations

Backes, Paul, et al.. (2018). The intelligent robotics system architecture applied to robotics testbeds and research platforms. 1–8. 8 indexed citations

Backes, Paul, et al.. (2016). An untethered mobile limb for modular in-space assembly. 1–9. 2 indexed citations

10.

Karumanchi, Sisir, Stefano Mancini, Andreas Winter, & Dong Yang. (2016). Classical capacities of quantum channels with environment assistance. Problems of Information Transmission. 52(3). 214–238. 14 indexed citations

11.

Hebert, Paul D. N., Jeremy Ma, James Borders, et al.. (2015). Supervised Remote Robot with Guided Autonomy and Teleoperation (SURROGATE): A framework for whole-body manipulation. 5509–5516. 20 indexed citations

12.

Park, Junghee, Sisir Karumanchi, & Karl Iagnemma. (2015). Homotopy-Based Divide-and-Conquer Strategy for Optimal Trajectory Planning via Mixed-Integer Programming. IEEE Transactions on Robotics. 31(5). 1101–1115. 56 indexed citations

13.

Anderson, Stephen J., Sisir Karumanchi, Karl Iagnemma, & Joan Walker. (2013). The intelligent copilot: A constraint-based approach to shared-adaptive control of ground vehicles. IEEE Intelligent Transportation Systems Magazine. 5(2). 45–54. 53 indexed citations

14.

Karumanchi, Sisir, Karl Iagnemma, & Steve Scheding. (2013). Mobility Erosion: High speed motion safety for mobile robots operating in off-road terrain. 397–402. 1 indexed citations

15.

Karumanchi, Sisir & Karl Iagnemma. (2012). Reactive control in environments with hard and soft hazards. 2863–2868. 3 indexed citations

16.

Anderson, Sterling J., et al.. (2012). Constraint-based semi-autonomy for unmanned ground vehicles using local sensing. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8387. 83870K–83870K. 2 indexed citations

17.

Anderson, Sterling J., Sisir Karumanchi, & Karl Iagnemma. (2012). Constraint-based planning and control for safe, semi-autonomous operation of vehicles. 383–388. 91 indexed citations

18.

Karumanchi, Sisir, et al.. (2011). 2N qubit “mirror states” for optimal quantum communication. The European Physical Journal D. 61(3). 757–763. 7 indexed citations

19.

Karumanchi, Sisir, et al.. (2010). Non-parametric Learning to Aid Path Planning over Slopes. The International Journal of Robotics Research. 29(8). 997–1018. 17 indexed citations

20.

Karumanchi, Sisir, Trevor Allen, T. Bailey, & Steve Scheding. (2009). Non-parametric learning to aid path planning over slopes. 3 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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