Diego Mollá
About
In The Last Decade
Diego Mollá
83 papers receiving 685 citations
Peers
Comparison fields: 5 of 70
- Artificial Intelligence 734
- Molecular Biology 185
- Information Systems 133
- Computer Vision and Pattern Recognition 38
- Management Science and Operations Research 35
Countries citing papers authored by Diego Mollá
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).
Fields of papers citing papers by Diego Mollá
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.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | The Nature and Extent of English Lexical Borrowings into Bangla: An Investigation into selected Modern Bengali Novels and Short Stories | 1 |
| 3 | CSIRO at 2017 TREC Precision Medicine Track. | 2 |
| 4 | Document distance for the automated expansion of relevance judgements for information retrieval evaluation | 2 |
| 5 | 4 | |
| 6 | Automatic Prediction of Evidence-based Recommendations via Sentence-level Polarity Classification | 3 |
| 7 | Simple similarity-based question answering strategies for biomedical text | 4 |
| 8 | A rule-based approach for automatic identification of publication types of medical papers | 5 |
| 9 | Towards automatic grading of evidence | 9 |
| 10 | AnswerFinder at QA@CLEF 2007 | 2 |
| 11 | AnswerFinder at QAst 2007: Named Entity Recognition for QA on Speech Transcripts | 3 |
| 12 | Recognizing Textual Entailment Via Atomic Propositions | 3 |
| 13 | Question classification by structure induction | 7 |
| 14 | Answer finder at TREC 2005 | 7 |
| 15 | Natural language processing in the undergraduate curriculum | 2 |
| 16 | 10 | |
| 17 | Dependency-Based Semantic Interpretation for Answer Extraction | 5 |
| 18 | Reconciling use cases via controlled languages and graphical models | 5 |
| 19 | EXTRANS, AN ANSWER EXTRACTION SYSTEM | 19 |
| 20 | 2 |
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.