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.
Spotting opinion spammers using behavioral footprints
2013267 citationsArjun Mukherjee, Abhinav Kumar et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Malú Castellanos
Since
Specialization
Citations
This map shows the geographic impact of Malú Castellanos'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 Malú Castellanos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Malú Castellanos more than expected).
Fields of papers citing papers by Malú Castellanos
This network shows the impact of papers produced by Malú Castellanos. 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 Malú Castellanos. The network helps show where Malú Castellanos may publish in the future.
Co-authorship network of co-authors of Malú Castellanos
This figure shows the co-authorship network connecting the top 25 collaborators of Malú Castellanos.
A scholar is included among the top collaborators of Malú Castellanos 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 Malú Castellanos. Malú Castellanos is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Chen, Zhiyuan, Arjun Mukherjee, Bing Liu, et al.. (2013). Leveraging multi-domain prior knowledge in topic models. International Joint Conference on Artificial Intelligence. 2071–2077.57 indexed citations
3.
Chen, Zhiyuan, Bing Liu, Meichun Hsu, Malú Castellanos, & Riddhiman Ghosh. (2013). Identifying Intention Posts in Discussion Forums. North American Chapter of the Association for Computational Linguistics. 1041–1050.31 indexed citations
4.
Mukherjee, Arjun, Abhinav Kumar, Bing Liu, et al.. (2013). Spotting opinion spammers using behavioral footprints. 632–640.267 indexed citations breakdown →
Fei, Geli, Bing Liu, Meichun Hsu, Malú Castellanos, & Riddhiman Ghosh. (2012). A Dictionary-Based Approach to Identifying Aspects Implied by Adjectives for Opinion Mining. International Conference on Computational Linguistics. 309–318.29 indexed citations
Dayal, Umeshwar, Kevin Wilkinson, Alkis Simitsis, & Malú Castellanos. (2009). Business Processes Meet Operational Business Intelligence.. IEEE Data(base) Engineering Bulletin. 32. 35–41.8 indexed citations
10.
Castellanos, Malú, Umeshwar Dayal, & Timos Sellis. (2009). Business Intelligence for the Real-Time Enterprise: Second International Workshop, BIRTE 2008, Auckland, New Zealand, August 24, 2008, Revised Selected ... Notes in Business Information Processing. Springer eBooks.
Simitsis, Alkis, Dimitrios Skoutas, & Malú Castellanos. (2008). Natural language reporting for ETL processes. DSpace - NTUA (National Technical University of Athens). 65–72.10 indexed citations
14.
Casati, Fabio, et al.. (2007). A generic solution for warehousing business process data. Very Large Data Bases. 1128–1137.29 indexed citations
15.
Casati, Fabio, et al.. (2007). Abstract Process Data Warehousing. Institutional Research Information System (Università degli Studi di Trento). 1387–1389.11 indexed citations
Casati, Fabio, Malú Castellanos, Umeshwar Dayal, et al.. (2002). Business Operation Intelligence Research at HP Labs.. IEEE Data(base) Engineering Bulletin. 25. 32–35.3 indexed citations
18.
Saltor, Fèlix, et al.. (1995). Semantic heterogeneity in multidatabase systems. 129–202.32 indexed citations
19.
Castellanos, Malú, et al.. (1995). A Semantic-Discriminated Approach to Integration of Federated Databases.. 19–31.9 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.