Daniel Mendes

84 total papers · 986 total citations
50 papers, 659 citations indexed

About

Daniel Mendes is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Daniel Mendes has authored 50 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Human-Computer Interaction, 30 papers in Computer Vision and Pattern Recognition and 17 papers in Cognitive Neuroscience. Recurrent topics in Daniel Mendes's work include Virtual Reality Applications and Impacts (26 papers), Interactive and Immersive Displays (24 papers) and Augmented Reality Applications (18 papers). Daniel Mendes is often cited by papers focused on Virtual Reality Applications and Impacts (26 papers), Interactive and Immersive Displays (24 papers) and Augmented Reality Applications (18 papers). Daniel Mendes collaborates with scholars based in Portugal, Brazil and Italy. Daniel Mendes's co-authors include Joaquim Jorge, Alfredo Ferreira, Maurício Sousa, Daniel Medeiros, Andrea Giachetti, Ariel Caputo, Alberto Raposo, Rafael Kuffner dos Anjos, Daniel Simões Lopes and Nuno Matela and has published in prestigious journals such as Computers & Geosciences, Knee Surgery Sports Traumatology Arthroscopy and Computer Graphics Forum.

In The Last Decade

Daniel Mendes

46 papers receiving 643 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel Mendes 521 369 190 66 44 50 659
Maurício Sousa 440 0.8× 340 0.9× 123 0.6× 65 1.0× 35 0.8× 46 656
Scott S. Fisher 358 0.7× 315 0.9× 119 0.6× 105 1.6× 95 2.2× 43 751
Daniel Medeiros 569 1.1× 363 1.0× 139 0.7× 63 1.0× 41 0.9× 47 763
G. Drew Kessler 504 1.0× 198 0.5× 246 1.3× 87 1.3× 70 1.6× 25 757
Christoph Anthes 403 0.8× 303 0.8× 81 0.4× 38 0.6× 25 0.6× 31 582
Henrique Galvan Debarba 471 0.9× 255 0.7× 200 1.1× 65 1.0× 41 0.9× 32 776
Alexander Plopski 422 0.8× 348 0.9× 134 0.7× 29 0.4× 14 0.3× 61 638
André Kunert 452 0.9× 332 0.9× 96 0.5× 65 1.0× 35 0.8× 20 599
David Drascic 303 0.6× 383 1.0× 92 0.5× 123 1.9× 64 1.5× 13 570
Huidong Bai 659 1.3× 562 1.5× 149 0.8× 107 1.6× 40 0.9× 63 790

Countries citing papers authored by Daniel Mendes

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Mendes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Mendes

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