Patrick Marcel
Impact in
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- Big Data and Business Intelligence
- Information Systems top 2%
- Recommender Systems and Techniques
- Data Mining Algorithms and Applications
Papers in
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- Big Data and Business Intelligence 28
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- Data Mining Algorithms and Applications 25
- Recommender Systems and Techniques 18
- Information Retrieval and Search Behavior 3
- Co-authors
- Arnaud Giacometti (15 shared papers)Elsa Negre (12 shared papers)Stefano Rizzi (16 shared papers)Julien Aligon (10 shared papers)Matteo Golfarelli (5 shared papers)Arnaud Soulet (9 shared papers)Verónika Peralta (30 shared papers)Ladjel Bellatreche (3 shared papers)
In The Last Decade
Patrick Marcel
75 papers receiving 686 citations
Peers
Comparison fields: 5 of 45
- Management Information Systems 290
- Information Systems 349
- Computer Networks and Communications 235
- Signal Processing 38
- Computer Vision and Pattern Recognition 93
Countries citing papers authored by Patrick Marcel
This map shows the geographic impact of Patrick Marcel'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 Patrick Marcel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Marcel more than expected).
Fields of papers citing papers by Patrick Marcel
This network shows the impact of papers produced by Patrick Marcel. 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 Patrick Marcel. The network helps show where Patrick Marcel may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick Marcel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 74 | |
| 2 | 2014 | 60 | |
| 3 | 2013 | 46 | |
| 4 | 2008 | 43 | |
| 5 | 2009 | 42 | |
| 6 | 2009 | 41 | |
| 7 | 2011 | 37 | |
| 8 | 2011 | 34 | |
| 9 | A survey of query recommendation techniques for data warehouse exploration | 2011 | 24 |
| 10 | 2019 | 21 | |
| 11 | 2021 | 20 | |
| 12 | 2018 | 16 | |
| 13 | Personalization of MDX queries | 2006 | 14 |
| 14 | 2011 | 14 | |
| 15 | 2013 | 14 | |
| 16 | 2014 | 14 | |
| 17 | 2020 | 13 | |
| 18 | 2003 | 11 | |
| 19 | 2021 | 11 | |
| 20 | Modeling and Querying Multidimensional Databases: An Overview | 1999 | 10 |
About Patrick Marcel
Patrick Marcel is a scholar working on Management Information Systems, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Computer Science Applications, having authored 80 papers that have together received 734 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (37 papers), Big Data and Business Intelligence (28 papers), Data Mining Algorithms and Applications (25 papers), Recommender Systems and Techniques (18 papers), Data Visualization and Analytics (14 papers), Data Quality and Management (4 papers), Scientific Computing and Data Management (3 papers) and Information Retrieval and Search Behavior (3 papers). The work is most often cited by research in Management Information Systems (290 citations), Information Systems (349 citations), Computer Networks and Communications (235 citations), Signal Processing (38 citations) and Computer Vision and Pattern Recognition (93 citations). Patrick Marcel has collaborated with scholars based in France, Italy and Greece. Frequent co-authors include Arnaud Giacometti, Elsa Negre, Stefano Rizzi, Julien Aligon, Matteo Golfarelli, Arnaud Soulet, Verónika Peralta, Ladjel Bellatreche, Dominique Laurent and Enrico Gallinucci. Their work appears in journals such as Information Systems, Lecture notes in computer science, IEEE Transactions on Knowledge and Data Engineering, Information Systems Frontiers and Knowledge and Information Systems.
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.