Manuela Chessa

151 total papers · 1.1k total citations
84 papers, 633 citations indexed

About

Manuela Chessa is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Human-Computer Interaction. According to data from OpenAlex, Manuela Chessa has authored 84 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computer Vision and Pattern Recognition, 33 papers in Cognitive Neuroscience and 30 papers in Human-Computer Interaction. Recurrent topics in Manuela Chessa's work include Virtual Reality Applications and Impacts (27 papers), Advanced Vision and Imaging (24 papers) and Visual perception and processing mechanisms (22 papers). Manuela Chessa is often cited by papers focused on Virtual Reality Applications and Impacts (27 papers), Advanced Vision and Imaging (24 papers) and Visual perception and processing mechanisms (22 papers). Manuela Chessa collaborates with scholars based in Italy, United Kingdom and Germany. Manuela Chessa's co-authors include Fabio Solari, Silvio P. Sabatini, Guido Maiello, Peter J. Bex, Andrea Canessa, Agostino Gibaldi, Pierre Kornprobst, Francesca Odone, Vivian C. Paulun and Nicoletta Noceti and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

Manuela Chessa

76 papers receiving 616 citations

Author Peers

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

Author						Papers	Cites
Manuela Chessa	295	250	241	99	55	84	633
Fabio Solari	350 1.2×	216 0.9×	280 1.2×	111 1.1×	66 1.2×	90	697
Silvio P. Sabatini	254 0.9×	72 0.3×	352 1.5×	72 0.7×	77 1.4×	83	633
James E. Zacher	127 0.4×	231 0.9×	415 1.7×	83 0.8×	16 0.3×	36	694
Tianyu Wang	223 0.8×	98 0.4×	90 0.4×	32 0.3×	45 0.8×	73	759
Sunu Wibirama	144 0.5×	305 1.2×	114 0.5×	71 0.7×	19 0.3×	113	762
Elizabeth T. Davis	152 0.5×	180 0.7×	415 1.7×	44 0.4×	12 0.2×	31	632
Reynold Bailey	322 1.1×	385 1.5×	176 0.7×	44 0.4×	15 0.3×	77	656
John P. McIntire	149 0.5×	227 0.9×	270 1.1×	111 1.1×	8 0.1×	54	732
Brent R. Beutter	216 0.7×	74 0.3×	552 2.3×	25 0.3×	82 1.5×	45	667
Akira Utsumi	357 1.2×	320 1.3×	54 0.2×	24 0.2×	30 0.5×	51	681

Countries citing papers authored by Manuela Chessa

Since Specialization

Citations

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

Fields of papers citing papers by Manuela Chessa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuela Chessa

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