Georges Dupret

1.6k citations
28 papers · 818 · h-index 14

Impact in

Papers in

    • Information Retrieval and Search Behavior 14
    • Web Data Mining and Analysis 13
    • Recommender Systems and Techniques 7
    • Expert finding and Q&A systems 4
    • Advanced Text Analysis Techniques 4
    • Neural Networks and Applications 3

Georges Dupret

27 papers receiving 768 citations

Peers

Georges Dupret
Comparison fields: 5 of 76
  • Information Systems 553
  • Computer Science Applications 81
  • Artificial Intelligence 283
  • Signal Processing 85
  • Computer Vision and Pattern Recognition 142
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Citations per field
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Citations per year

Countries citing papers authored by Georges Dupret

Since Specialization
Citations

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

Fields of papers citing papers by Georges Dupret

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008277
2 201085
3 200657
4 201350
5
A study of mobile search queries in Japan
200743
6 200141
7 200741
8
Web Search Engine Evaluation Using Clickthrough Data and a User Model
200733
9 200928
10 200622
11 201318
12 201017
13 200115
14
Proceedings of the 2009 workshop on Web Search Click Data
200914
15 201212
16 201011
17 200311
18 201310
19 20128
20 20146

About Georges Dupret

Georges Dupret is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Signal Processing and Computer Vision and Pattern Recognition, having authored 28 papers that have together received 818 indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (14 papers), Web Data Mining and Analysis (13 papers), Recommender Systems and Techniques (7 papers), Data Management and Algorithms (6 papers), Advanced Text Analysis Techniques (4 papers), Expert finding and Q&A systems (4 papers), Caching and Content Delivery (3 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Information Systems (553 citations), Computer Science Applications (81 citations), Artificial Intelligence (283 citations), Signal Processing (85 citations) and Computer Vision and Pattern Recognition (142 citations). Georges Dupret has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Benjamin Piwowarski, Ciya Liao, Ricardo Baeza‐Yates, Mounia Lalmas, Masato Koda, Marcelo Mendoza, Patrick Gallinari, Claudia Hurtado, Rosie Jones and Vanessa Murdock. Their work appears in journals such as European Journal of Operational Research, ACM Transactions on Information Systems, Computers & Mathematics with Applications, Lecture notes in computer science and Journal of Discrete Algorithms.

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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