Erik Prada

77 total papers · 437 total citations
55 papers, 280 citations indexed

About

Erik Prada is a scholar working on Control and Systems Engineering, Mechanical Engineering and Biomedical Engineering. According to data from OpenAlex, Erik Prada has authored 55 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Control and Systems Engineering, 25 papers in Mechanical Engineering and 23 papers in Biomedical Engineering. Recurrent topics in Erik Prada's work include Mechanical and Thermal Properties Analysis (14 papers), Robotic Path Planning Algorithms (11 papers) and Soft Robotics and Applications (10 papers). Erik Prada is often cited by papers focused on Mechanical and Thermal Properties Analysis (14 papers), Robotic Path Planning Algorithms (11 papers) and Soft Robotics and Applications (10 papers). Erik Prada collaborates with scholars based in Slovakia, Czechia and United States. Erik Prada's co-authors include Ivan Virgala, Michal Kelemen, Zdenko Bobovský, Ľubica Miková, Tomáš Kot, Tatiana Kelemenová, Marek Sukop, Martin Hagara, Pavol Božek and Roman Mykhailyshyn and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Applied Sciences.

In The Last Decade

Erik Prada

50 papers receiving 268 citations

Author Peers

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

Author Last Decade Papers Cites
Erik Prada 145 110 100 43 29 55 280
Marek Sukop 92 0.6× 73 0.7× 61 0.6× 33 0.8× 30 1.0× 44 218
Tatiana Kelemenová 82 0.6× 123 1.1× 67 0.7× 24 0.6× 23 0.8× 55 271
Runxiao Wang 115 0.8× 103 0.9× 79 0.8× 45 1.0× 37 1.3× 33 300
Ravi Kumar Mandava 119 0.8× 137 1.2× 113 1.1× 51 1.2× 10 0.3× 40 322
Gil Lopes 52 0.4× 107 1.0× 91 0.9× 80 1.9× 23 0.8× 40 307
Ken Chen 155 1.1× 136 1.2× 83 0.8× 19 0.4× 39 1.3× 29 274
Arockia Selvakumar Arockia Doss 94 0.6× 87 0.8× 90 0.9× 39 0.9× 24 0.8× 78 299
Bekir Aksoy 47 0.3× 62 0.6× 58 0.6× 53 1.2× 29 1.0× 46 258
Jakub Takosoglu 97 0.7× 191 1.7× 104 1.0× 13 0.3× 21 0.7× 42 311
Ngoc-Tam Bui 60 0.4× 77 0.7× 63 0.6× 60 1.4× 25 0.9× 53 298

Countries citing papers authored by Erik Prada

Since Specialization
Citations

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

Fields of papers citing papers by Erik Prada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erik Prada

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