Michaël Ortega

680 citations
27 papers · 568 · h-index 9

Impact in

Papers in

Michaël Ortega

27 papers receiving 530 citations

Peers

Michaël Ortega
Comparison fields: 5 of 63
  • Human-Computer Interaction 209
  • Computer Vision and Pattern Recognition 228
  • Cognitive Neuroscience 149
  • Signal Processing 53
  • Building and Construction 42
Replace Masakatsu Kourogi with:
Masakatsu Kourogi Japan
Abdelwahab Hamam Canada
Yee Siang Gan Taiwan
Tomohiro Mashita Japan
Pedro A. Revenga Spain
Rahul Arora Canada
Gregory Baratoff Germany
Hengliang Luo China
Joshua Lifton United States
Robert Aish United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Michaël Ortega

Since Specialization
Citations

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

Fields of papers citing papers by Michaël Ortega

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michaël Ortega, 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 Michaël Ortega Line = papers co-authored together Michaël Ortega links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997165
2 2007105
3 201787
4 200948
5 201133
6 200920
7 201319
8 199918
9 20149
10 20158
11 20157
12
Information Retrieval beyond the Text Document
19996
13 20176
14
Query Refinement in Similarity Retrieval Systems.
20016
15 20085
16 20135
17 20194
18
Open platform to model and capture experimental data in Technology enhanced learning systems
20133
19 20083
20 20152

About Michaël Ortega

Michaël Ortega is a scholar working on Human-Computer Interaction, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Signal Processing and Geography, Planning and Development, having authored 27 papers that have together received 568 indexed citations. Recurring topics across this work include Interactive and Immersive Displays (14 papers), Tactile and Sensory Interactions (10 papers), Augmented Reality Applications (6 papers), Data Management and Algorithms (5 papers), Image Retrieval and Classification Techniques (4 papers), Speech and dialogue systems (3 papers), Gaze Tracking and Assistive Technology (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Human-Computer Interaction (209 citations), Computer Vision and Pattern Recognition (228 citations), Cognitive Neuroscience (149 citations), Signal Processing (53 citations) and Building and Construction (42 citations). Michaël Ortega has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Sharad Mehrotra, Renaud Blanch, Kaushik Chakrabarti, Thomas S. Huang, Sabine Coquillart, Stéphane Redon, Rui Yong, Laurence Nigay, Anne E White and Carmen Soriano. Their work appears in journals such as International Journal of Human-Computer Studies, Library trends, Waste Management, IEEE Transactions on Visualization and Computer Graphics and Lecture notes in computer science.

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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