Guy Lories
- Cognitive Neuroscience top 1%
- Experimental and Cognitive Psychology top 1%
- Social Psychology top 2%
- Developmental and Educational Psychology top 2%
- Artificial Intelligence top 5%
- Co-authors
- Vincent YzerbytBenoît DardenneXavier SeronYves BestgenAbdessadek El AhmadiMichel HupetMartial Van der LindenMarie‐Anne Schelstraete
- Topics
- Memory Processes and Influences (4 papers)Reading and Literacy Development (3 papers)Cognitive and developmental aspects of mathematical skills (2 papers)
- Partner nations
- BelgiumUnited StatesFrance
In The Last Decade
Guy Lories
20 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Cognitive Neuroscience 1.9k
- Experimental and Cognitive Psychology 774
- Social Psychology 531
- Developmental and Educational Psychology 449
- Artificial Intelligence 221
Countries citing papers authored by Guy Lories
This map shows the geographic impact of Guy Lories'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 Guy Lories with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guy Lories more than expected).
Fields of papers citing papers by Guy Lories
This network shows the impact of papers produced by Guy Lories. 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 Guy Lories. The network helps show where Guy Lories may publish in the future.
Co-authorship network of co-authors of Guy Lories
This figure shows the co-authorship network connecting the top 25 collaborators of Guy Lories. A scholar is included among the top collaborators of Guy Lories 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 Guy Lories. Guy Lories is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Using latent semantic analysis to measure coherence in essays by foreign language learners | 6 |
| 2 | Coping and adapting to breast cancer: a six-month prospective study. | 14 |
| 3 | 12 | |
| 4 | 10 | |
| 5 | 115 | |
| 6 | 141 | |
| 7 | 11 | |
| 8 | 0 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | Partial Knowledge, Distractor Elimination, and Fok Accuracy | 3 |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 131 | |
| 15 | Using a Neural Network To Preprocess Chess Positions | 2 |
| 16 | 11 | |
| 17 | 1 | |
| 18 | Cognitive Models of Simple Mental Arithmetic - a Critical-review | 9 |
| 19 | 23 | |
| 20 | 7 |
About Guy Lories
Guy Lories is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience and Statistics and Probability, having authored 21 papers that have together received 2.9k indexed citations. Recurring topics across this work include Memory Processes and Influences (4 papers), Reading and Literacy Development (3 papers) and Cognitive and developmental aspects of mathematical skills (2 papers). The work is most often cited by research in Cognitive Neuroscience (1.9k citations), Experimental and Cognitive Psychology (774 citations) and General Decision Sciences (93 citations). Guy Lories has collaborated with scholars based in Belgium, United States and France. Frequent co-authors include Vincent Yzerbyt, Benoît Dardenne, Xavier Seron, Yves Bestgen, Abdessadek El Ahmadi, Michel Hupet, Martial Van der Linden, Marie‐Anne Schelstraete, Raymond Bruyer and Pierre Feyereisen. Their work appears in journals such as Journal of Experimental Psychology Learning Memory and Cognition, Memory & Cognition and Cortex.
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.