Manuel Calimlim

1.0k total citations · 1 hit paper
8 papers, 652 citations indexed

About

Manuel Calimlim is a scholar working on Computer Networks and Communications, Information Systems and Signal Processing. According to data from OpenAlex, Manuel Calimlim has authored 8 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Networks and Communications, 5 papers in Information Systems and 3 papers in Signal Processing. Recurrent topics in Manuel Calimlim's work include Data Mining Algorithms and Applications (4 papers), Rough Sets and Fuzzy Logic (3 papers) and Data Management and Algorithms (3 papers). Manuel Calimlim is often cited by papers focused on Data Mining Algorithms and Applications (4 papers), Rough Sets and Fuzzy Logic (3 papers) and Data Management and Algorithms (3 papers). Manuel Calimlim collaborates with scholars based in United States. Manuel Calimlim's co-authors include Johannes Gehrke, Doug Burdick, Jason Flannick, Douglas Burdick, William Y. Arms, Mirek Riedewald, Jayavel Shanmugasundaram, Alan Demers, J. S. Deneva and Daniel Kifer and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment and D-Lib Magazine.

In The Last Decade

Manuel Calimlim

8 papers receiving 590 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

MAFIA: a maximal frequent itemset algorithm for transactional databases

2002 398 citations Doug Burdick, Manuel Calimlim et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Manuel Calimlim United States	6	573	404	279	231	116	8	652
Ching-Jui Hsiao Taiwan	4	462 0.8×	339 0.8×	214 0.8×	200 0.9×	88 0.8×	8	543
Doug Burdick United States	6	561 1.0×	373 0.9×	357 1.3×	316 1.4×	221 1.9×	11	768
Masashi Kiyomi Japan	6	254 0.4×	231 0.6×	156 0.6×	106 0.5×	81 0.7×	24	396
Karam Gouda Egypt	8	866 1.5×	620 1.5×	498 1.8×	371 1.6×	148 1.3×	20	1.0k
Hua-Fu Li Taiwan	13	511 0.9×	283 0.7×	336 1.2×	287 1.2×	141 1.2×	38	638
Junfeng Qu China	6	470 0.8×	345 0.9×	267 1.0×	158 0.7×	38 0.3×	23	528
Gangin Lee South Korea	19	776 1.4×	542 1.3×	564 2.0×	266 1.2×	90 0.8×	29	880
Sergei Obiedkov Russia	10	245 0.4×	413 1.0×	284 1.0×	144 0.6×	48 0.4×	20	557
Tin Truong Vietnam	15	606 1.1×	411 1.0×	375 1.3×	195 0.8×	77 0.7×	36	663
Rafik Taouil France	8	730 1.3×	709 1.8×	395 1.4×	365 1.6×	113 1.0×	11	935

Countries citing papers authored by Manuel Calimlim

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Manuel Calimlim

This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Calimlim. A scholar is included among the top collaborators of Manuel Calimlim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Manuel Calimlim. Manuel Calimlim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Arms, William Y., et al.. (2009). EScience in Practice. D-Lib Magazine. 15(5/6). 6 indexed citations

2.

Panda, Biswanath, et al.. (2008). Large-scale collaborative analysis and extraction of web data. Proceedings of the VLDB Endowment. 1(2). 1476–1479. 3 indexed citations

3.

Arms, William Y., Manuel Calimlim, J. M. Cordes, et al.. (2006). Three Case Studies of Large-Scale Data Flows. 27. 66–66. 1 indexed citations

4.

Burdick, Doug, et al.. (2005). MAFIA: a maximal frequent itemset algorithm. IEEE Transactions on Knowledge and Data Engineering. 17(11). 1490–1504. 172 indexed citations

5.

Calimlim, Manuel, Alan Demers, J. S. Deneva, et al.. (2004). A Vision for PetaByte Data Management and Analyis Services for the Arecibo Telescope.. IEEE Data(base) Engineering Bulletin. 27. 12–19. 5 indexed citations

6.

Burdick, Douglas, et al.. (2003). MAFIA: A Performance Study of Mining Maximal Frequent Itemsets.. 20 indexed citations

7.

Burdick, Doug, Manuel Calimlim, & Johannes Gehrke. (2002). MAFIA: a maximal frequent itemset algorithm for transactional databases. 443–452. 398 indexed citations breakdown →

8.

Calimlim, Manuel, et al.. (2001). MAFIA: A maximal frequent itemset algorithm for transactional databases. 47 indexed citations

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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