Manuela Chessa

1.2k citations
108 papers · 849 · h-index 17

Impact in

Papers in

Manuela Chessa

97 papers receiving 830 citations

Peers

Manuela Chessa
Comparison fields: 5 of 100
  • Human-Computer Interaction 340
  • Computer Vision and Pattern Recognition 407
  • Cognitive Neuroscience 293
  • Media Technology 111
  • Ophthalmology 43
Replace Fabio Solari with:
Fabio Solari Italy
Jason Orlosky Japan
Harald Frenz Germany
Eike Langbehn Germany
Matei Mancaş Belgium
John P. McIntire United States
Rajinder Singh Sodhi United States
Robin Wolff United Kingdom
Taro Maeda Japan
Wolf Kienzle Germany
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 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201668
2 201344
3 202140
4 201434
5 202131
6 201525
7 201723
8 201623
9 201922
10 201422
11 202120
12 201019
13 201818
14 201518
15 201918
16 202017
17 200917
18 201116
19 200916
20 201715

About Manuela Chessa

Manuela Chessa is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Cognitive Neuroscience, Media Technology and Aerospace Engineering, having authored 108 papers that have together received 849 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (37 papers), Advanced Vision and Imaging (29 papers), Visual perception and processing mechanisms (23 papers), Augmented Reality Applications (17 papers), Advanced Optical Imaging Technologies (14 papers), Tactile and Sensory Interactions (9 papers), Neural dynamics and brain function (9 papers) and Robotics and Sensor-Based Localization (9 papers). The work is most often cited by research in Human-Computer Interaction (340 citations), Computer Vision and Pattern Recognition (407 citations), Cognitive Neuroscience (293 citations), Media Technology (111 citations) and Ophthalmology (43 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, Nicoletta Noceti, Francesca Odone, Pierre Kornprobst and Vivian C. Paulun. Their work appears in journals such as Computer Vision and Image Understanding, Journal of Vision, Virtual Reality, IEEE Access and Neurocomputing.

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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