Ricardo Tanscheit

114 total papers · 864 total citations
64 papers, 531 citations indexed

About

Ricardo Tanscheit is a scholar working on Artificial Intelligence, Control and Systems Engineering and Biomedical Engineering. According to data from OpenAlex, Ricardo Tanscheit has authored 64 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 13 papers in Control and Systems Engineering and 8 papers in Biomedical Engineering. Recurrent topics in Ricardo Tanscheit's work include Fuzzy Logic and Control Systems (22 papers), Evolutionary Algorithms and Applications (18 papers) and Metaheuristic Optimization Algorithms Research (13 papers). Ricardo Tanscheit is often cited by papers focused on Fuzzy Logic and Control Systems (22 papers), Evolutionary Algorithms and Applications (18 papers) and Metaheuristic Optimization Algorithms Research (13 papers). Ricardo Tanscheit collaborates with scholars based in Brazil, United Kingdom and United States. Ricardo Tanscheit's co-authors include Marley Vellasco, E.M. Scharf, Adriano Koshiyama, Marco Aurélio C. Pacheco, Sebastian Yuri Cavalcanti Catunda, Juan Moisés Maurício Villanueva, Jorge Amaral, Eduardo Pestana de Aguiar, Karla Figueiredo and P.C.G. da S. Vellasco and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Information Sciences.

In The Last Decade

Ricardo Tanscheit

61 papers receiving 502 citations

Author Peers

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

Author						Papers	Cites
Ricardo Tanscheit	293	131	89	54	46	64	531
Jing Jie	169 0.6×	141 1.1×	53 0.6×	74 1.4×	51 1.1×	73	525
Yunpeng Ma	204 0.7×	111 0.8×	101 1.1×	53 1.0×	23 0.5×	37	484
Lars Nolle	196 0.7×	54 0.4×	83 0.9×	74 1.4×	31 0.7×	64	518
Mohammad Sh. Daoud	193 0.7×	60 0.5×	87 1.0×	43 0.8×	41 0.9×	62	571
Yancang Li	198 0.7×	77 0.6×	87 1.0×	79 1.5×	29 0.6×	50	457
Carlos H. C. Ribeiro	200 0.7×	95 0.7×	59 0.7×	49 0.9×	55 1.2×	69	546
Hong Xia	175 0.6×	109 0.8×	46 0.5×	25 0.5×	32 0.7×	55	468
Khaled Belarbi	190 0.6×	279 2.1×	104 1.2×	27 0.5×	27 0.6×	52	482
Katya Rodríguez‐Vázquez	190 0.6×	159 1.2×	54 0.6×	45 0.8×	17 0.4×	47	532
Milica Petrović	206 0.7×	83 0.6×	80 0.9×	56 1.0×	26 0.6×	34	585

Countries citing papers authored by Ricardo Tanscheit

Since Specialization

Citations

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

Fields of papers citing papers by Ricardo Tanscheit

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ricardo Tanscheit

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