Lydia Tapia

86 total papers · 1.6k total citations
49 papers, 1.0k citations indexed

About

Lydia Tapia is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Lydia Tapia has authored 49 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 14 papers in Control and Systems Engineering and 14 papers in Artificial Intelligence. Recurrent topics in Lydia Tapia's work include Robotic Path Planning Algorithms (22 papers), Reinforcement Learning in Robotics (10 papers) and Autonomous Vehicle Technology and Safety (8 papers). Lydia Tapia is often cited by papers focused on Robotic Path Planning Algorithms (22 papers), Reinforcement Learning in Robotics (10 papers) and Autonomous Vehicle Technology and Safety (8 papers). Lydia Tapia collaborates with scholars based in United States, Croatia and Mexico. Lydia Tapia's co-authors include Hao-Tien Lewis Chiang, Aleksandra Faust, Rafael Fierro, Patricio J. Cruz, Ivana Palunko, Meeko Oishi, Kendra Lesser, Nancy M. Amato, Shawna Thomas and Xinyu Tang and has published in prestigious journals such as Bioinformatics, The Journal of Immunology and Journal of Molecular Biology.

In The Last Decade

Lydia Tapia

42 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Lydia Tapia 523 367 294 164 146 49 1.0k
Wei Dong 313 0.6× 330 0.9× 314 1.1× 67 0.4× 56 0.4× 90 882
Qing Wu 317 0.6× 340 0.9× 103 0.4× 323 2.0× 39 0.3× 63 1.2k
Arun D. Mahindrakar 161 0.3× 940 2.6× 185 0.6× 107 0.7× 82 0.6× 59 1.2k
Stephen Balakirsky 414 0.8× 369 1.0× 260 0.9× 387 2.4× 53 0.4× 98 1.2k
Hongwei Mo 335 0.6× 321 0.9× 210 0.7× 245 1.5× 33 0.2× 88 909
Wesley Huang 508 1.0× 299 0.8× 373 1.3× 129 0.8× 78 0.5× 50 1.1k
Haobin Shi 431 0.8× 226 0.6× 193 0.7× 366 2.2× 39 0.3× 90 999
Mohd Nadhir Ab Wahab 346 0.7× 170 0.5× 123 0.4× 278 1.7× 69 0.5× 44 1.1k
Hsu‐Chih Huang 568 1.1× 761 2.1× 168 0.6× 233 1.4× 56 0.4× 55 1.2k
Önder Tutsoy 175 0.3× 403 1.1× 118 0.4× 204 1.2× 46 0.3× 44 934

Countries citing papers authored by Lydia Tapia

Since Specialization
Citations

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

Fields of papers citing papers by Lydia Tapia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lydia Tapia

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