Guilherme Ruppert

30 total papers · 788 total citations
12 papers, 400 citations indexed

About

Guilherme Ruppert is a scholar working on Computer Vision and Pattern Recognition, Neurology and Biomedical Engineering. According to data from OpenAlex, Guilherme Ruppert has authored 12 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 5 papers in Neurology and 3 papers in Biomedical Engineering. Recurrent topics in Guilherme Ruppert's work include Medical Image Segmentation Techniques (9 papers), Brain Tumor Detection and Classification (5 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Guilherme Ruppert is often cited by papers focused on Medical Image Segmentation Techniques (9 papers), Brain Tumor Detection and Classification (5 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Guilherme Ruppert collaborates with scholars based in Brazil and United States. Guilherme Ruppert's co-authors include Tiago Carvalho, Edmar Rezende, Fábio Ramos, Paulo Lício de Geus, Alexandre X. Falcão, Jorge Vicente Lopes da Silva, Thiago Moraes, Paulo Amorim, Leonardo Oliveira Reis and Yanxi Liu and has published in prestigious journals such as World Journal of Urology and Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization.

In The Last Decade

Guilherme Ruppert

12 papers receiving 382 citations

Author Peers

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

Author						Papers	Cites
Guilherme Ruppert	209	88	74	60	56	12	400
Alessio Fagioli	200 1.0×	114 1.3×	25 0.3×	54 0.9×	26 0.5×	27	427
Ehab Essa	160 0.8×	113 1.3×	31 0.4×	49 0.8×	48 0.9×	26	425
Mohammed A. M. Abdullah	192 0.9×	102 1.2×	192 2.6×	51 0.8×	29 0.5×	32	428
Zhi Lu	174 0.8×	75 0.9×	16 0.2×	75 1.3×	12 0.2×	27	410
René Grzeszick	279 1.3×	131 1.5×	81 1.1×	92 1.5×	54 1.0×	17	429
Saurabh Maheshwari	182 0.9×	48 0.5×	26 0.4×	66 1.1×	31 0.6×	25	386
Neha Gaud	142 0.7×	55 0.6×	26 0.4×	15 0.3×	24 0.4×	8	349
Saleh Albelwi	144 0.7×	149 1.7×	31 0.4×	44 0.7×	40 0.7×	15	407
Na Rae Baek	247 1.2×	73 0.8×	55 0.7×	82 1.4×	6 0.1×	23	398
Amir Hanif Dar	129 0.6×	145 1.6×	56 0.8×	109 1.8×	38 0.7×	14	336

Countries citing papers authored by Guilherme Ruppert

Since Specialization

Citations

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

Fields of papers citing papers by Guilherme Ruppert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guilherme Ruppert

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