Román Marchant

31 total papers · 794 total citations
15 papers, 503 citations indexed

About

Román Marchant is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Román Marchant has authored 15 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Computational Theory and Mathematics. Recurrent topics in Román Marchant's work include Robotic Path Planning Algorithms (5 papers), Advanced Multi-Objective Optimization Algorithms (5 papers) and Gaussian Processes and Bayesian Inference (4 papers). Román Marchant is often cited by papers focused on Robotic Path Planning Algorithms (5 papers), Advanced Multi-Objective Optimization Algorithms (5 papers) and Gaussian Processes and Bayesian Inference (4 papers). Román Marchant collaborates with scholars based in Australia, Brazil and United Kingdom. Román Marchant's co-authors include Fábio Ramos, Shaun Nielsen, Georg Steinert, Torsten Thomas, Nicole S. Webster, Ute Hentschel, Cristiane Cassiolato Pires Hardoim, Susanna López‐Legentil, Lucas Moitinho‐Silva and Grace P. McCormack and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Microbiology and The International Journal of Robotics Research.

In The Last Decade

Román Marchant

13 papers receiving 484 citations

Author Peers

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

Author						Papers	Cites
Román Marchant	158	131	119	104	73	15	503
Mark Neal	79 0.5×	34 0.3×	5 0.0×	36 0.3×	5 0.1×	29	507
Jiabin Zhang	53 0.3×	144 1.1×	14 0.1×	18 0.2×	2 0.0×	29	492
Chao Wu	132 0.8×	20 0.2×	7 0.1×	8 0.1×	11 0.2×	13	454
Edwin Jacox	57 0.4×	95 0.7×	4 0.0×	10 0.1×	4 0.1×	16	590
Jiali Duan	196 1.2×	207 1.6×	17 0.1×	6 0.1×	30 0.4×	25	553
Ahmad Din	74 0.5×	104 0.8×	8 0.1×	30 0.3×	4 0.1×	43	523
Peng Zhao	70 0.4×	42 0.3×	4 0.0×	44 0.4×	2 0.0×	43	536
Honge Ren	81 0.5×	288 2.2×	2 0.0×	16 0.2×	4 0.1×	39	528
Stefan Janson	355 2.2×	31 0.2×	4 0.0×	17 0.2×	3 0.0×	13	583
Fang Du	88 0.6×	127 1.0×	1 0.0×	19 0.2×	22 0.3×	34	447

Countries citing papers authored by Román Marchant

Since Specialization

Citations

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

Fields of papers citing papers by Román Marchant

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Román Marchant

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