Sai Vemprala

856 total citations · 1 hit paper
20 papers, 387 citations indexed

About

Sai Vemprala is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Sai Vemprala has authored 20 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 11 papers in Aerospace Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Sai Vemprala's work include Robotics and Sensor-Based Localization (11 papers), Robotic Path Planning Algorithms (7 papers) and Advanced Neural Network Applications (3 papers). Sai Vemprala is often cited by papers focused on Robotics and Sensor-Based Localization (11 papers), Robotic Path Planning Algorithms (7 papers) and Advanced Neural Network Applications (3 papers). Sai Vemprala collaborates with scholars based in United States, United Kingdom and Spain. Sai Vemprala's co-authors include Ashish Kapoor, Rogerio Bonatti, Arthur Bucker, Srikanth Saripalli, Adrián Carrio, Pascual Campoy, Jesus Tordesillas, Jonathan P. How, Shuang Ma and Luis Figueredo and has published in prestigious journals such as IEEE Access, Underwater Technology The International Journal of the Society for Underwater and University of Birmingham Research Portal (University of Birmingham).

In The Last Decade

Sai Vemprala

20 papers receiving 379 citations

Hit Papers

align trajectories

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.

ChatGPT for Robotics: Design Principles and Model Abilities

2024 198 citations Sai Vemprala, Rogerio Bonatti et al. IEEE Access profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sai Vemprala United States	8	183	137	117	79	25	20	387
Mikko Lauri Germany	10	181 1.0×	78 0.6×	136 1.2×	104 1.3×	31 1.2×	21	350
Olov Andersson Sweden	9	179 1.0×	75 0.5×	166 1.4×	100 1.3×	25 1.0×	26	373
Daniel Fernando Tello Gamarra Brazil	10	158 0.9×	87 0.6×	85 0.7×	89 1.1×	27 1.1×	37	291
Chunsheng Hua China	8	146 0.8×	39 0.3×	100 0.9×	80 1.0×	26 1.0×	26	295
Vijay Kalivarapu United States	10	153 0.8×	135 1.0×	105 0.9×	68 0.9×	20 0.8×	29	400
Erik Zamora Mexico	9	106 0.6×	160 1.2×	53 0.5×	91 1.2×	53 2.1×	25	394
Rohan Chandra United States	9	335 1.8×	129 0.9×	83 0.7×	55 0.7×	15 0.6×	19	493
Dirk Holz Germany	12	236 1.3×	60 0.4×	209 1.8×	116 1.5×	23 0.9×	19	390
Daniele Calisi Italy	9	180 1.0×	51 0.4×	130 1.1×	62 0.8×	24 1.0×	41	313

Countries citing papers authored by Sai Vemprala

Since Specialization

Citations

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

Fields of papers citing papers by Sai Vemprala

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sai Vemprala

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Vemprala, Sai, Rogerio Bonatti, Arthur Bucker, & Ashish Kapoor. (2024). ChatGPT for Robotics: Design Principles and Model Abilities. IEEE Access. 12. 55682–55696. 198 indexed citations breakdown →

2.

Bhattacharya, Anish, Fernando Cladera, Sai Vemprala, et al.. (2024). EvDNeRF: Reconstructing Event Data with Dynamic Neural Radiance Fields. 5834–5843. 5 indexed citations

3.

Bucker, Arthur, Luis Figueredo, Sami Haddadin, et al.. (2023). LATTE: LAnguage Trajectory TransformEr. 7287–7294. 26 indexed citations

4.

Bonatti, Rogerio, et al.. (2023). PACT: Perception-Action Causal Transformer for Autoregressive Robotics Pre-Training. 3621–3627. 12 indexed citations

5.

Yao, Wei, Yanchao Sun, Sai Vemprala, et al.. (2023). Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training. 16175–16185. 2 indexed citations

6.

Vemprala, Sai, et al.. (2022). Learning to Simulate Realistic LiDARs. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 8173–8180. 11 indexed citations

7.

Ma, Shuang, Sai Vemprala, Wenshan Wang, et al.. (2022). COMPASS: Contrastive Multimodal Pretraining for Autonomous Systems. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 1000–1007. 7 indexed citations

8.

Vemprala, Sai, et al.. (2022). CityLifeSim: A High-Fidelity Pedestrian and Vehicle Simulation with Complex Behaviors. University of Birmingham Research Portal (University of Birmingham). 11–16. 1 indexed citations

9.

Vemprala, Sai & Srikanth Saripalli. (2021). Collaborative Localization for Micro Aerial Vehicles. IEEE Access. 9. 63043–63058. 3 indexed citations

10.

Vemprala, Sai & Ashish Kapoor. (2021). Adversarial Attacks on Optimization based Planners. 9943–9949. 7 indexed citations

11.

Carrio, Adrián, Jesus Tordesillas, Sai Vemprala, et al.. (2020). Onboard Detection and Localization of Drones Using Depth Maps. IEEE Access. 8. 30480–30490. 39 indexed citations

12.

Vemprala, Sai. (2019). Vision Based Collaborative Localization and Path Planning for Micro Aerial Vehicles. OakTrust (Texas A&M University Libraries). 1 indexed citations

13.

Carrio, Adrián, et al.. (2018). Drone Detection Using Depth Maps. 1034–1037. 38 indexed citations

14.

Vemprala, Sai, et al.. (2018). Real-Time Tumor Tracking for Pencil Beam Scanning Proton Therapy. 35. 4434–4440. 2 indexed citations

15.

Vemprala, Sai, et al.. (2018). Vision Based Collaborative Path Planning for Micro Aerial Vehicles. 3889–3895. 9 indexed citations

16.

Vemprala, Sai & Srikanth Saripalli. (2018). Monocular Vision based Collaborative Localization for Micro Aerial Vehicle Swarms. 315–323. 7 indexed citations

17.

Vemprala, Sai & Srikanth Saripalli. (2017). Vision based Collaborative Localization for Swarms of Aerial Vehicles. 1–6. 3 indexed citations

18.

Vemprala, Sai & Srikanth Saripalli. (2016). Vision based collaborative localization for multirotor vehicles. 34. 1653–1658. 7 indexed citations

19.

Behar, A., et al.. (2015). MSLED: The Micro Subglacial Lake Exploration Device. Underwater Technology The International Journal of the Society for Underwater. 33(1). 3–17. 6 indexed citations

20.

Vemprala, Sai, et al.. (2015). Flight performance assessment of land surveying trajectories for multiple UAV platforms. 31. 1–7. 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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