Patrick Marcel
Impact in
- Signal Processing top 5%
- Data Management and Algorithms
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- Advanced Database Systems and Queries
Papers in
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- Advanced Database Systems and Queries 32
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- Data Management and Algorithms 29
- Co-authors
- Stefano Rizzi (11 shared papers)Arnaud Giacometti (9 shared papers)Elsa Negre (6 shared papers)Julien Aligon (7 shared papers)Arnaud Soulet (7 shared papers)Matteo Golfarelli (4 shared papers)Enrico Gallinucci (3 shared papers)Verónika Peralta (17 shared papers)
In The Last Decade
Patrick Marcel
50 papers receiving 477 citations
Peers
Comparison fields: 5 of 52
- Signal Processing 209
- Computer Networks and Communications 280
- Information Systems 184
- Artificial Intelligence 219
- Management Science and Operations Research 75
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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 53 | |
| 2 | 2013 | 42 | |
| 3 | 2009 | 39 | |
| 4 | 2009 | 38 | |
| 5 | 2011 | 36 | |
| 6 | 1997 | 32 | |
| 7 | 2011 | 29 | |
| 8 | 2021 | 19 | |
| 9 | 2019 | 16 | |
| 10 | 2013 | 14 | |
| 11 | 2018 | 13 | |
| 12 | 2014 | 12 | |
| 13 | 1999 | 12 | |
| 14 | 2020 | 12 | |
| 15 | 2003 | 12 | |
| 16 | 2011 | 11 | |
| 17 | Modeling and Querying Multidimensional Databases: An Overview | 1999 | 10 |
| 18 | 2021 | 10 | |
| 19 | 2022 | 8 | |
| 20 | 1999 | 8 |
About Patrick Marcel
Patrick Marcel is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 53 papers that have together received 501 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (32 papers), Data Management and Algorithms (29 papers), Data Mining Algorithms and Applications (13 papers), Semantic Web and Ontologies (11 papers), Data Visualization and Analytics (9 papers), Data Quality and Management (8 papers), Data Stream Mining Techniques (8 papers) and Recommender Systems and Techniques (4 papers). The work is most often cited by research in Signal Processing (209 citations), Computer Networks and Communications (280 citations), Information Systems (184 citations), Artificial Intelligence (219 citations) and Management Science and Operations Research (75 citations). Patrick Marcel has collaborated with scholars based in France, Italy and Greece. Frequent co-authors include Stefano Rizzi, Arnaud Giacometti, Elsa Negre, Julien Aligon, Arnaud Soulet, Matteo Golfarelli, Enrico Gallinucci, Verónika Peralta, Claude Roger and Valentin Ovsienko. Their work appears in journals such as Information Systems, Lecture notes in computer science, IEEE Transactions on Knowledge and Data Engineering, Knowledge and Information Systems and International Journal of Data Warehousing and Mining.
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.