Ankit A. Ravankar

180 total papers · 1.6k total citations
112 papers, 1.2k citations indexed

About

Ankit A. Ravankar is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, Ankit A. Ravankar has authored 112 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Computer Vision and Pattern Recognition, 55 papers in Aerospace Engineering and 23 papers in Control and Systems Engineering. Recurrent topics in Ankit A. Ravankar's work include Robotics and Sensor-Based Localization (54 papers), Robotic Path Planning Algorithms (50 papers) and Robotics and Automated Systems (15 papers). Ankit A. Ravankar is often cited by papers focused on Robotics and Sensor-Based Localization (54 papers), Robotic Path Planning Algorithms (50 papers) and Robotics and Automated Systems (15 papers). Ankit A. Ravankar collaborates with scholars based in Japan, Taiwan and India. Ankit A. Ravankar's co-authors include Yukinori Kobayashi, Abhijeet Ravankar, Takanori Emaru, Yohei HOSHINO, Chao-Chung Peng, Yasuhisa Hirata, Michiko Watanabe, Yasuhiro Yamanaka, Su Wang and Taichi E. Takasuka and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Ankit A. Ravankar

101 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Ankit A. Ravankar 747 570 282 137 129 112 1.2k
Jing Yuan 807 1.1× 670 1.2× 389 1.4× 95 0.7× 110 0.9× 103 1.4k
Takanori Emaru 551 0.7× 457 0.8× 311 1.1× 147 1.1× 103 0.8× 131 933
José Luis Sánchez-López 855 1.1× 838 1.5× 276 1.0× 118 0.9× 74 0.6× 75 1.5k
Huimin Lu 584 0.8× 476 0.8× 180 0.6× 102 0.7× 74 0.6× 113 1.0k
Huei‐Yung Lin 928 1.2× 393 0.7× 141 0.5× 135 1.0× 194 1.5× 166 1.5k
Miguel Olivares-Mendez 770 1.0× 786 1.4× 305 1.1× 65 0.5× 81 0.6× 109 1.3k
Bernardo Wagner 497 0.7× 602 1.1× 168 0.6× 94 0.7× 66 0.5× 88 1.1k
Shenghai Yuan 643 0.9× 715 1.3× 182 0.6× 78 0.6× 117 0.9× 76 1.2k
Angelos Amanatiadis 695 0.9× 309 0.5× 140 0.5× 96 0.7× 82 0.6× 76 1.2k
Akihisa Ohya 727 1.0× 657 1.2× 365 1.3× 135 1.0× 68 0.5× 147 1.5k

Countries citing papers authored by Ankit A. Ravankar

Since Specialization
Citations

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

Fields of papers citing papers by Ankit A. Ravankar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ankit A. Ravankar. 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 Ankit A. Ravankar. The network helps show where Ankit A. Ravankar may publish in the future.

Co-authorship network of co-authors of Ankit A. Ravankar

This figure shows the co-authorship network connecting the top 25 collaborators of Ankit A. Ravankar. A scholar is included among the top collaborators of Ankit A. Ravankar 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 Ankit A. Ravankar. Ankit A. Ravankar 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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