Sai Vemprala

51 total papers · 837 total citations
20 papers, 368 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 368 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 UAV Applications and Optimization (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 UAV Applications and Optimization (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 Sami Haddadin 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 360 citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Sai Vemprala	179	132	116	77	24	20	368
Konstantinos Charalampous	241 1.3×	89 0.7×	102 0.9×	80 1.0×	21 0.9×	21	377
Mikko Lauri	177 1.0×	77 0.6×	136 1.2×	103 1.3×	31 1.3×	21	345
Olov Andersson	170 0.9×	74 0.6×	158 1.4×	96 1.2×	25 1.0×	24	357
Hongsheng Yu	126 0.7×	152 1.2×	112 1.0×	74 1.0×	53 2.2×	14	391
Vijay Kalivarapu	152 0.8×	135 1.0×	104 0.9×	66 0.9×	20 0.8×	29	397
Dirk Holz	236 1.3×	60 0.5×	208 1.8×	116 1.5×	23 1.0×	19	389
Mariusz Wzorek	166 0.9×	97 0.7×	194 1.7×	48 0.6×	32 1.3×	28	345
Konstantin Yakovlev	252 1.4×	89 0.7×	131 1.1×	74 1.0×	14 0.6×	41	347
Jaime Pulido Fentanes	198 1.1×	68 0.5×	198 1.7×	42 0.5×	44 1.8×	21	353
Erik Zamora	106 0.6×	160 1.2×	53 0.5×	89 1.2×	53 2.2×	25	391

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

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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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