Mel Vecerík

22 total papers · 470 total citations
4 papers, 104 citations indexed

About

Mel Vecerík is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Mel Vecerík has authored 4 papers receiving a total of 104 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Control and Systems Engineering, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Artificial Intelligence. Recurrent topics in Mel Vecerík's work include Robot Manipulation and Learning (3 papers), Advanced Vision and Imaging (2 papers) and Reinforcement Learning in Robotics (2 papers). Mel Vecerík is often cited by papers focused on Robot Manipulation and Learning (3 papers), Advanced Vision and Imaging (2 papers) and Reinforcement Learning in Robotics (2 papers). Mel Vecerík collaborates with scholars based in United States and United Kingdom. Mel Vecerík's co-authors include Yusuf Aytar, Carl Doersch, Yi Yang, Ankush Gupta, Andrew Zisserman, João Carreira, Jonathan Scholz, Stefan Schaal, Wenzhao Lian and Chang Su and has published in prestigious journals such as arXiv (Cornell University).

In The Last Decade

Mel Vecerík

4 papers receiving 101 citations

Author Peers

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

Author						Papers	Cites
Mel Vecerík	52	48	25	19	16	4	104
Kirsty Ellis	61 1.2×	27 0.6×	26 1.0×	18 0.9×	19 1.2×	6	106
Florian Golemo	52 1.0×	38 0.8×	54 2.2×	12 0.6×	11 0.7×	7	127
Anurag Ajay	33 0.6×	39 0.8×	51 2.0×	33 1.7×	19 1.2×	4	124
Ilya A. Petrov	175 3.4×	50 1.0×	37 1.5×	17 0.9×	9 0.6×	5	232
Yann Labbé	81 1.6×	66 1.4×	23 0.9×	13 0.7×	41 2.6×	6	117
Thang To	89 1.7×	94 2.0×	20 0.8×	20 1.1×	64 4.0×	3	136
Gavriel State	39 0.8×	55 1.1×	40 1.6×	25 1.3×	10 0.6×	3	118
Zhongqiang Gao	34 0.7×	28 0.6×	26 1.0×	11 0.6×	5 0.3×	6	107
Cheng-Chun Hsu	121 2.3×	26 0.5×	23 0.9×	5 0.3×	11 0.7×	7	188
Thanard Kurutach	41 0.8×	50 1.0×	50 2.0×	13 0.7×	9 0.6×	4	93

Countries citing papers authored by Mel Vecerík

Since Specialization

Citations

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

Fields of papers citing papers by Mel Vecerík

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mel Vecerík

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