This map shows the geographic impact of Diego Mollá'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 Diego Mollá with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Mollá more than expected).
This network shows the impact of papers produced by Diego Mollá. 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 Diego Mollá. The network helps show where Diego Mollá may publish in the future.
Co-authorship network of co-authors of Diego Mollá
This figure shows the co-authorship network connecting the top 25 collaborators of Diego Mollá.
A scholar is included among the top collaborators of Diego Mollá 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 Diego Mollá. Diego Mollá is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Mollá, Diego, et al.. (2018). The Nature and Extent of English Lexical Borrowings into Bangla: An Investigation into selected Modern Bengali Novels and Short Stories. SHILAP Revista de lepidopterología.1 indexed citations
3.
Nguyen, Vincent, et al.. (2017). CSIRO at 2017 TREC Precision Medicine Track.. Text REtrieval Conference.2 indexed citations
4.
Mollá, Diego, et al.. (2015). Document distance for the automated expansion of relevance judgements for information retrieval evaluation. arXiv (Cornell University). 1–4.2 indexed citations
Sarker, Abeed, Diego Mollá, & Cécile Paris. (2013). Automatic Prediction of Evidence-based Recommendations via Sentence-level Polarity Classification. International Joint Conference on Natural Language Processing. 712–718.3 indexed citations
7.
Martínez, David, Andrew MacKinlay, Diego Mollá, Lawrence Cavedon, & Karin Verspoor. (2012). Simple similarity-based question answering strategies for biomedical text. 1178. 1–13.4 indexed citations
8.
Sarker, Abeed, Diego Mollá, & Cécile Paris. (2010). Towards automatic grading of evidence. CEUR Workshop Proceedings. 744. 51–58.9 indexed citations
9.
Sarker, Abeed & Diego Mollá. (2010). A rule-based approach for automatic identification of publication types of medical papers. 84–88.5 indexed citations
10.
Mollá, Diego, Steve Cassidy, & Menno van Zaanen. (2007). AnswerFinder at QAst 2007: Named Entity Recognition for QA on Speech Transcripts. CEUR Workshop Proceedings. 1173. 1–9.3 indexed citations
11.
Zaanen, Menno van & Diego Mollá. (2007). AnswerFinder at QA@CLEF 2007. CLEF (Working Notes).2 indexed citations
12.
Mollá, Diego, et al.. (2006). Recognizing Textual Entailment Via Atomic Propositions. Lecture notes in computer science. 385–403.3 indexed citations
13.
Zaanen, Menno van, Luiz Pizzato, & Diego Mollá. (2005). Question classification by structure induction. International Joint Conference on Artificial Intelligence. 1638–1639.7 indexed citations
Mollá, Diego. (2003). Answer finder at TREC 2005. Text REtrieval Conference. 1–398.7 indexed citations
16.
Dale, Robert, Diego Mollá, & Rolf Schwitter. (2003). Natural language processing in the undergraduate curriculum. Australasian Computing Education Conference. 9–13.2 indexed citations
17.
Mollá, Diego, et al.. (2003). Anaphora resolution in ExtrAns. Zurich Open Repository and Archive (University of Zurich). 67–74.4 indexed citations
18.
Mollá, Diego & Ben Hutchinson. (2002). Dependency-Based Semantic Interpretation for Answer Extraction.5 indexed citations
19.
Schwitter, Rolf, et al.. (2001). Reconciling use cases via controlled languages and graphical models. 186–195.5 indexed citations
20.
Mollá, Diego, Rolf Schwitter, Michael Heß, & Rachel Fournier. (2000). EXTRANS, AN ANSWER EXTRACTION SYSTEM.19 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.