Serge Garlatti
- Computer Science Applications top 10%
- Open Education and E-Learning 3
- Online Learning and Analytics 2
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- Context-Aware Activity Recognition Systems 3
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- Service-Oriented Architecture and Web Services 2
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- Innovative Teaching and Learning Methods 2
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- Reinforcement Learning in Robotics 3
- Intelligent Tutoring Systems and Adaptive Learning 2
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- Modular Robots and Swarm Intelligence 2
- Co-authors
- Mike SharplesYannis DimitriadisMarcus SpechtCarlos Delgado KloosPanagiotis PapadakisBernard GibaudÉric FaureChristian Barillot
- Journals
- Artificial Intelligence in Medicine (2 papers)IEEE Robotics & Automation Magazine (1 paper)Advanced Robotics (1 paper)
- Partner nations
- FranceMalaysiaUnited Kingdom
In The Last Decade
Serge Garlatti
14 papers receiving 102 citations
Peers
Comparison fields: 5 of 47
- Computer Science Applications 34
- Computer Vision and Pattern Recognition 36
- Information Systems 27
- Developmental and Educational Psychology 12
- Control and Systems Engineering 19
Countries citing papers authored by Serge Garlatti
This map shows the geographic impact of Serge Garlatti'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 Serge Garlatti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Serge Garlatti more than expected).
Fields of papers citing papers by Serge Garlatti
This network shows the impact of papers produced by Serge Garlatti. 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 Serge Garlatti. The network helps show where Serge Garlatti may publish in the future.
Co-authorship network
The 13 scholars most cited alongside Serge Garlatti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 7 | |
| 2 | 2021 | 10 | |
| 3 | 2020 | 9 | |
| 4 | 2015 | 1 | |
| 5 | 2015 | 37 | |
| 6 | 2014 | 2 | |
| 7 | IMPACT OF DIGITAL LITERACY ON THE ENGINEERING CURRICULUM | 2010 | 2 |
| 8 | 2009 | 4 | |
| 9 | 2008 | 3 | |
| 10 | 2008 | 7 | |
| 11 | 2007 | 2 | |
| 12 | 1998 | 11 | |
| 13 | 1998 | 10 | |
| 14 | 1994 | 5 |
About Serge Garlatti
Serge Garlatti is a scholar working on Computer Science Applications, Library and Information Sciences and Hardware and Architecture, having authored 14 papers that have together received 110 indexed citations. Recurring topics across this work include Open Education and E-Learning (3 papers), Context-Aware Activity Recognition Systems (3 papers), Reinforcement Learning in Robotics (3 papers), Intelligent Tutoring Systems and Adaptive Learning (2 papers), Innovative Teaching and Learning Methods (2 papers), Online Learning and Analytics (2 papers), Modular Robots and Swarm Intelligence (2 papers) and Service-Oriented Architecture and Web Services (2 papers). The work is most often cited by research in Computer Science Applications (34 citations), Computer Vision and Pattern Recognition (36 citations) and Information Systems (27 citations). Serge Garlatti has collaborated with scholars based in France, Malaysia and United Kingdom. Frequent co-authors include Mike Sharples, Yannis Dimitriadis, Marcus Specht, Carlos Delgado Kloos, Panagiotis Papadakis, Bernard Gibaud, Éric Faure, Christian Barillot, Sao Mai Nguyen and Sylvain Laubé. Their work appears in journals such as Artificial Intelligence in Medicine, IEEE Robotics & Automation Magazine and Advanced Robotics.
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.