Anselmo Peñas
About
In The Last Decade
Anselmo Peñas
73 papers receiving 574 citations
Peers
Comparison fields: 5 of 71
- Artificial Intelligence 557
- Information Systems 144
- Computer Vision and Pattern Recognition 55
- Molecular Biology 49
- Oceanography 30
Countries citing papers authored by Anselmo Peñas
This map shows the geographic impact of Anselmo Peñas'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 Anselmo Peñas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anselmo Peñas more than expected).
Fields of papers citing papers by Anselmo Peñas
This network shows the impact of papers produced by Anselmo Peñas. 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 Anselmo Peñas. The network helps show where Anselmo Peñas may publish in the future.
Co-authorship network of co-authors of Anselmo Peñas
This figure shows the co-authorship network connecting the top 25 collaborators of Anselmo Peñas. A scholar is included among the top collaborators of Anselmo Peñas 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 Anselmo Peñas. Anselmo Peñas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | On Concept Lattices as Information Channels | 2 |
| 2 | Overview of CLEF QA Entrance Exams Task 2014 | 6 |
| 3 | Temporally Anchored Relation Extraction | 18 |
| 4 | Representación gráfica de documentos para extracción automática de relaciones | 1 |
| 5 | A Simple Measure to Assess Non-response | 62 |
| 6 | Overview of QA4MRE at CLEF 2011: Question Answering for Machine Reading Evaluation | 30 |
| 7 | Unsupervised Discovery of Domain-Specific Knowledge from Text | 6 |
| 8 | 3 | |
| 9 | 9 | |
| 10 | Filling Knowledge Gaps in Text for Machine Reading | 8 |
| 11 | TEXT-MESS: minería de textos inteligente, interactiva y multilingüe basada en tecnología del lenguaje humano | 0 |
| 12 | 1 | |
| 13 | UNED Submission to AVE 2006 | 6 |
| 14 | Textual entailment recognition based on dependency analysis and wordnet | 3 |
| 15 | Presentación: Acceso a Información Multilingüe | 2 |
| 16 | Word Sense Disambiguation based on Term to Term Similarity in a Context Space | 7 |
| 17 | Los sistemas de búsqueda de respuestas desde una perspectiva actual | 4 |
| 18 | Creating the DISEQuA corpus: a multilingual test set for the monolingual question Answering tasks at CLEF 2003 | 2 |
| 19 | Lexical ambiguity and Information Retrieval revisited | 10 |
| 20 | Extracción de relaciones semánticas entre nombre y verbos en EuroWordNet | 3 |
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.