Inmaculada Coma

22 papers receiving 201 citations

Peers

Inmaculada Coma
Comparison fields: 5 of 53
  • Computer Vision and Pattern Recognition 80
  • Aerospace Engineering 67
  • Human-Computer Interaction 49
  • Control and Systems Engineering 39
  • Cognitive Neuroscience 37
Replace Harlan Hile with:
Harlan Hile United States
Damith Herath Australia
Greg Saul United Kingdom
Eric E. Geiselman United States
M. Gargalakos Greece
Peter Einramhof Austria
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François Pasteau France
Paulo Manuel Costa Portugal
Iris Herbst Germany
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Countries citing papers authored by Inmaculada Coma

Since Specialization
Citations

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

Fields of papers citing papers by Inmaculada Coma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inmaculada Coma

This figure shows the co-authorship network connecting the top 25 collaborators of Inmaculada Coma. A scholar is included among the top collaborators of Inmaculada Coma 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 Inmaculada Coma. Inmaculada Coma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 5
4 2
5
A KINECT-BASED AUGMENTED REALITY SYSTEM FOR INDIVIDUALS WITH AUTISM SPECTRUM DISORDERS
10
6 27
7 1
8 2
9 7
10 28
11 10
12 21
13
On the Characterization of a Speed-boat Motion for Real-time Motion Cueing.
1
14 1
15 5
16 0
17
A Device-Independent 3D User Interface for Mobile Phones Based on Motion and Tracking Techniques.
1
18
Valle: A Roadway Design System In A Virtual Reality Environment
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19 4
20
High-speed log-polar time to crash calculation for mobile vehicles
2

About Inmaculada Coma

Inmaculada Coma is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 24 papers that have together received 209 indexed citations. Recurring topics across this work include Augmented Reality Applications (7 papers), Advanced Vision and Imaging (5 papers) and Real-time simulation and control systems (3 papers). The work is most often cited by research in Human-Computer Interaction (49 citations), Occupational Therapy (20 citations) and Geology (22 citations). Inmaculada Coma has collaborated with scholars based in Spain and United Kingdom. Frequent co-authors include Marcos Fernández, Sergio Casas, Cristina Portalés, Gerardo Herrera, Jesús Gimeno, Pedro Morillo, Esther de Ves, F. Pardo, César Otero and Miguel A. Pérez. Their work appears in journals such as Human Factors The Journal of the Human Factors and Ergonomics Society, Future Generation Computer Systems and Applied Sciences.

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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