Manuela Chessa

1.2k citations
88 papers · 667 · h-index 16

Impact in

Papers in

Manuela Chessa

77 papers receiving 651 citations

Peers

Manuela Chessa
Comparison fields: 5 of 94
  • Human-Computer Interaction 256
  • Computer Vision and Pattern Recognition 303
  • Cognitive Neuroscience 238
  • Media Technology 102
  • Ophthalmology 35
Replace Fabio Solari with:
Fabio Solari Italy
Jason Orlosky Japan
Alex D. Hwang United States
Harald Frenz Germany
Eike Langbehn Germany
Agostino Gibaldi Italy
Laura Trutoiu United States
Kai Essig Germany
Taro Maeda Japan
Géry Casiez France
Manuela Chessa relative to Fabio Solari Italy Fabio Solari's profile →
Citations per field
00.5×1.5×
Fabio Solari · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Manuela Chessa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Manuela Chessa Line = papers co-authored together Manuela Chessa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201660
2 201341
3 202140
4 201432
5 202130
6 201521
7 201920
8 202119
9 201619
10 201818
11 201518
12 201418
13 202016
14 201115
15 201915
16 201015
17 201615
18 201714
19 200914
20 202013

About Manuela Chessa

Manuela Chessa is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Human-Computer Interaction, Media Technology and Molecular Biology, having authored 88 papers that have together received 667 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (28 papers), Advanced Vision and Imaging (24 papers), Visual perception and processing mechanisms (22 papers), Augmented Reality Applications (14 papers), Advanced Optical Imaging Technologies (13 papers), Neural dynamics and brain function (9 papers), Tactile and Sensory Interactions (7 papers) and Retinal Development and Disorders (7 papers). The work is most often cited by research in Human-Computer Interaction (256 citations), Computer Vision and Pattern Recognition (303 citations), Cognitive Neuroscience (238 citations), Media Technology (102 citations) and Ophthalmology (35 citations). Manuela Chessa has collaborated with scholars based in Italy, United Kingdom and France. Frequent co-authors include Fabio Solari, Silvio P. Sabatini, Guido Maiello, Peter J. Bex, Andrea Canessa, Agostino Gibaldi, Pierre Kornprobst, Vivian C. Paulun, Nicoletta Noceti and Francesca Odone. Their work appears in journals such as Computer Vision and Image Understanding, Journal of Vision, Neurocomputing, IEEE Access and Software Quality Journal.

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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