Manuel Calimlim
Impact in
- Information Systems top 1%
- Data Mining Algorithms and Applications
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- Rough Sets and Fuzzy Logic
Papers in
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- Advanced Database Systems and Queries 3
- Distributed and Parallel Computing Systems 2
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- Data Mining Algorithms and Applications 4
- Co-authors
- Johannes Gehrke (7 shared papers)Doug Burdick (2 shared papers)Jason Flannick (2 shared papers)Douglas Burdick (1 shared paper)William Y. Arms (2 shared papers)Jayavel Shanmugasundaram (1 shared paper)Alan Demers (1 shared paper)Mirek Riedewald (3 shared papers)
- Journals
- D-Lib Magazine (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)Proceedings of the VLDB Endowment (1 paper)IEEE Data(base) Engineering Bulletin (1 paper)
- Partner nations
- United States
In The Last Decade
Manuel Calimlim
8 papers receiving 590 citations
Hit Papers
Peers
Comparison fields: 5 of 45
- Information Systems 573
- Computational Theory and Mathematics 404
- Signal Processing 231
- Artificial Intelligence 279
- Computer Networks and Communications 116
Countries citing papers authored by Manuel Calimlim
This map shows the geographic impact of Manuel Calimlim'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 Manuel Calimlim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manuel Calimlim more than expected).
Fields of papers citing papers by Manuel Calimlim
This network shows the impact of papers produced by Manuel Calimlim. 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 Manuel Calimlim. The network helps show where Manuel Calimlim may publish in the future.
Co-authors
The 19 scholars most cited alongside Manuel Calimlim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | MAFIA: a maximal frequent itemset algorithm for transactional databases Hit paper breakdown → | 2002 | 398 |
| 2 | 2005 | 172 | |
| 3 | MAFIA: A maximal frequent itemset algorithm for transactional databases | 2001 | 47 |
| 4 | MAFIA: A Performance Study of Mining Maximal Frequent Itemsets. | 2003 | 20 |
| 5 | 2009 | 6 | |
| 6 | A Vision for PetaByte Data Management and Analyis Services for the Arecibo Telescope. | 2004 | 5 |
| 7 | 2008 | 3 | |
| 8 | 2006 | 1 |
About Manuel Calimlim
Manuel Calimlim is a scholar working on Computer Networks and Communications, Information Systems, Signal Processing, Computational Theory and Mathematics and Information Systems and Management, having authored 8 papers that have together received 652 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (4 papers), Rough Sets and Fuzzy Logic (3 papers), Data Management and Algorithms (3 papers), Advanced Database Systems and Queries (3 papers), Scientific Computing and Data Management (2 papers), Distributed and Parallel Computing Systems (2 papers), Graph Theory and Algorithms (1 paper) and Computational Physics and Python Applications (1 paper). The work is most often cited by research in Information Systems (573 citations), Computational Theory and Mathematics (404 citations), Signal Processing (231 citations), Artificial Intelligence (279 citations) and Computer Networks and Communications (116 citations). Manuel Calimlim has collaborated with scholars based in United States. Frequent co-authors include Johannes Gehrke, Doug Burdick, Jason Flannick, Douglas Burdick, William Y. Arms, Jayavel Shanmugasundaram, Alan Demers, Mirek Riedewald, Daniel Kifer and J. S. Deneva. Their work appears in journals such as D-Lib Magazine, IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment and IEEE Data(base) Engineering Bulletin.
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.