Éric Lecolinet

3.6k citations
65 papers · 1.4k indexed · 1 hit paper · h-index 15

Éric Lecolinet

56 papers receiving 1.2k citations

Hit Papers

A survey of methods and strategies in character segmentation5521996202620062016100200300400500

Peers

Éric Lecolinet
Comparison fields: 5 of 80
  • Human-Computer Interaction 554
  • Computer Vision and Pattern Recognition 897
  • Media Technology 248
  • Cognitive Neuroscience 334
  • Artificial Intelligence 203
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Citations per year

Countries citing papers authored by Éric Lecolinet

Since Specialization
Citations

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

Fields of papers citing papers by Éric Lecolinet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20245
2 20240
3 20240
4 20172
5 201114
6 200981
7 20085
8
A remote
20070
9
Navigation Techniques for Zoomable Treemaps
20063
10 20054
11
Interfaces zoomables et Control menus
20021
12 200211
13
Digital Annotation and Exploration Techniques for Handling Image-Based Hypermedia.
20012
14 200045
15 200073
16
A Brick Construction Game Model for Creating Graphical User Interface: The Ubit Toolkit.
19994
17 19985
18
Using reading models for cursive script recognition
19962
19
Cursive Script Recognition By Backward Matching
19944
20
Automatic segmentation and recognition of zip codes on handwritten real mail
19891

About Éric Lecolinet

Éric Lecolinet is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 65 papers that have together received 1.4k indexed citations. Recurring topics across this work include Interactive and Immersive Displays (22 papers), Multimedia Communication and Technology (16 papers), Tactile and Sensory Interactions (15 papers), Data Visualization and Analytics (14 papers), Handwritten Text Recognition Techniques (13 papers), Video Analysis and Summarization (12 papers), Usability and User Interface Design (9 papers) and Hand Gesture Recognition Systems (7 papers). The work is most often cited by research in Human-Computer Interaction (554 citations), Computer Vision and Pattern Recognition (897 citations) and Media Technology (248 citations). Éric Lecolinet has collaborated with scholars based in France, United States and Germany. Frequent co-authors include R. G. Casey, Anne Roudaut, Gilles Bailly, Stéphane Huot, Yves Guiard, Stuart Pook, Guy Vaysseix, Emmanuel Barillot, Renaud Blanch and Laurence Nigay. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, International Journal on Document Analysis and Recognition (IJDAR), Frontiers in Psychology, Proceedings of the ACM on Human-Computer Interaction and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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