Floris Geerts

4.8k citations
87 papers · 2.4k · h-index 25

Impact in

Papers in

Floris Geerts

82 papers receiving 2.3k citations

Peers

Floris Geerts
Comparison fields: 5 of 86
  • Management Science and Operations Research 1.4k
  • Signal Processing 540
  • Computer Networks and Communications 1.1k
  • Artificial Intelligence 1.4k
  • Information Systems 891
Replace Paolo Papotti with:
Paolo Papotti France
Mauricio A. Hernández United States
Axel Polleres Austria
Jayant Madhavan United States
Laura M. Haas United States
Anish Das Sarma United States
Renée J. Miller Canada
Marcelo Arenas Chile
Panos Vassiliadis Greece
Wang-Chiew Tan United States
Floris Geerts relative to Paolo Papotti France Paolo Papotti's profile →
Citations per field
00.5×1.6×
Paolo Papotti · 1×
Citations per year

Countries citing papers authored by Floris Geerts

Since Specialization
Citations

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

Fields of papers citing papers by Floris Geerts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008284
2 2007211
3
Improving data quality: consistency and accuracy
2007178
4 2012152
5 2010142
6 2013118
7 200880
8 201270
9 200970
10 200568
11 200661
12 200842
13 200939
14 200736
15
26TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING ICDE 2010
201035
16 200834
17 201334
18 200633
19 201432
20 201231

About Floris Geerts

Floris Geerts is a scholar working on Computer Networks and Communications, Artificial Intelligence, Management Science and Operations Research, Signal Processing and Information Systems, having authored 87 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (49 papers), Data Quality and Management (29 papers), Data Management and Algorithms (25 papers), Semantic Web and Ontologies (19 papers), Data Mining Algorithms and Applications (12 papers), Distributed systems and fault tolerance (11 papers), Algorithms and Data Compression (8 papers) and Logic, Reasoning, and Knowledge (8 papers). The work is most often cited by research in Management Science and Operations Research (1.4k citations), Signal Processing (540 citations), Computer Networks and Communications (1.1k citations), Artificial Intelligence (1.4k citations) and Information Systems (891 citations). Floris Geerts has collaborated with scholars based in Belgium, United Kingdom and China. Frequent co-authors include Wenfei Fan, Xibei Jia, Anastasios Kementsietsidis, Shuai Ma, Ming Xiong, Gao Cong, Michael Benedikt, Paolo Papotti, Giansalvatore Mecca and Donatello Santoro. Their work appears in journals such as ACM Transactions on Database Systems, Proceedings of the VLDB Endowment, IEEE Transactions on Knowledge and Data Engineering, Information Systems and ACM SIGMOD Record.

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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