Álvaro Cassinelli

97 total papers · 695 total citations
56 papers, 444 citations indexed

About

Álvaro Cassinelli is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Álvaro Cassinelli has authored 56 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Human-Computer Interaction, 20 papers in Cognitive Neuroscience and 18 papers in Computer Vision and Pattern Recognition. Recurrent topics in Álvaro Cassinelli's work include Interactive and Immersive Displays (20 papers), Tactile and Sensory Interactions (19 papers) and Augmented Reality Applications (14 papers). Álvaro Cassinelli is often cited by papers focused on Interactive and Immersive Displays (20 papers), Tactile and Sensory Interactions (19 papers) and Augmented Reality Applications (14 papers). Álvaro Cassinelli collaborates with scholars based in Japan, Hong Kong and France. Álvaro Cassinelli's co-authors include Masatoshi Ishikawa, Carson Reynolds, Yoshihiro Watanabe, Takashi Komuro, Daniel Saakes, Danielle Wilde, Christian Sandor, Chihiro Watanabe, M. Ishikawa and Makoto Naruse and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Álvaro Cassinelli

52 papers receiving 420 citations

Author Peers

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

Author						Papers	Cites
Álvaro Cassinelli	315	229	136	48	41	56	444
Byungjoo Lee	256 0.8×	228 1.0×	103 0.8×	46 1.0×	40 1.0×	48	474
Mikael Fernström	184 0.6×	195 0.9×	223 1.6×	32 0.7×	19 0.5×	41	489
Keigo Matsumoto	266 0.8×	174 0.8×	57 0.4×	62 1.3×	25 0.6×	48	378
Keita Higuchi	233 0.7×	136 0.6×	218 1.6×	48 1.0×	49 1.2×	34	493
Arturo S. García	185 0.6×	172 0.8×	141 1.0×	43 0.9×	48 1.2×	48	452
Te-Yen Wu	339 1.1×	226 1.0×	108 0.8×	27 0.6×	22 0.5×	29	457
Felix G. Hamza-Lup	154 0.5×	69 0.3×	158 1.2×	67 1.4×	26 0.6×	65	444
Gabriel Reyes	262 0.8×	156 0.7×	119 0.9×	16 0.3×	28 0.7×	23	410
Nobuchika Sakata	275 0.9×	80 0.3×	219 1.6×	41 0.9×	38 0.9×	56	386
Stefan Marks	132 0.4×	109 0.5×	108 0.8×	27 0.6×	51 1.2×	39	408

Countries citing papers authored by Álvaro Cassinelli

Since Specialization

Citations

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

Fields of papers citing papers by Álvaro Cassinelli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Álvaro Cassinelli

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