César de Pablo-Sánchez
About
In The Last Decade
César de Pablo-Sánchez
13 papers receiving 262 citations
Peers
Comparison fields: 5 of 54
- Molecular Biology 209
- Artificial Intelligence 177
- Computational Theory and Mathematics 100
- Toxicology 40
- Pharmacology 16
Countries citing papers authored by César de Pablo-Sánchez
This map shows the geographic impact of César de Pablo-Sánchez'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 César de Pablo-Sánchez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites César de Pablo-Sánchez more than expected).
Fields of papers citing papers by César de Pablo-Sánchez
This network shows the impact of papers produced by César de Pablo-Sánchez. 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 César de Pablo-Sánchez. The network helps show where César de Pablo-Sánchez may publish in the future.
Co-authorship network of co-authors of César de Pablo-Sánchez
This figure shows the co-authorship network connecting the top 25 collaborators of César de Pablo-Sánchez. A scholar is included among the top collaborators of César de Pablo-Sánchez 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 César de Pablo-Sánchez. César de Pablo-Sánchez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | DAEDALUS at RepLab 2014: Detecting RepTrak Reputation Dimensions on Tweets | 0 |
| 2 | 7 | |
| 3 | 108 | |
| 4 | 58 | |
| 5 | Combining similarities with regression based classifiers for Entity Linking at TAC 2010. | 3 |
| 6 | 7 | |
| 7 | 36 | |
| 8 | 31 | |
| 9 | The UC3M team at the Knowledge Base Population task. | 0 |
| 10 | 3 | |
| 11 | MIRACLE Question Answering System for Spanish at CLEF 2007. | 3 |
| 12 | Evaluación de un sistema de reconocimiento y normalización de expresiones temporales en español | 5 |
| 13 | 1 | |
| 14 | MIRACLE at the Spanish CLEF@QA 2006 track | 2 |
| 15 | MIRACLE's Approach to Multilingual Web Retrieval. | 0 |
| 16 | MIRACLE's 2005 Approach to Cross-Lingual Question Answering | 8 |
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.