Francisco Guzmán
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Molecular Biology
- Neurology
- Co-authors
- Preslav NakovLluı́s MàrquezShafiq JotyStephan VogelGerald E. StreitNaman GoyalVishrav ChaudharyHassan Sajjad
- Topics
- Natural Language Processing Techniques (31 papers)Topic Modeling (30 papers)Speech and dialogue systems (8 papers)
- Partner nations
- United StatesColombiaQatar
In The Last Decade
Francisco Guzmán
50 papers receiving 736 citations
Peers
Comparison fields: 5 of 105
- Artificial Intelligence 575
- Computer Vision and Pattern Recognition 119
- Information Systems 66
- Molecular Biology 59
- Neurology 50
Countries citing papers authored by Francisco Guzmán
This map shows the geographic impact of Francisco Guzmán'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 Francisco Guzmán with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francisco Guzmán more than expected).
Fields of papers citing papers by Francisco Guzmán
This network shows the impact of papers produced by Francisco Guzmán. 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 Francisco Guzmán. The network helps show where Francisco Guzmán may publish in the future.
Co-authorship network of co-authors of Francisco Guzmán
This figure shows the co-authorship network connecting the top 25 collaborators of Francisco Guzmán. A scholar is included among the top collaborators of Francisco Guzmán 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 Francisco Guzmán. Francisco Guzmán is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 29 | |
| 3 | 4 | |
| 4 | Machine translation evaluation for Arabic using morphologically-enriched embeddings | 6 |
| 5 | 5 | |
| 6 | 57 | |
| 7 | 30 | |
| 8 | Parameter Optimization for Statistical Machine Translation: It Pays to Learn from Hard Examples | 1 |
| 9 | A Tale about PRO and Monsters | 9 |
| 10 | 7 | |
| 11 | Optimizing for Sentence-Level BLEU+1 Yields Short Translations | 40 |
| 12 | Understanding the Performance of Statistical MT Systems: A Linear Regression Framework | 2 |
| 13 | 43 | |
| 14 | Síndrome diarreico crónico debido a infección por hymenolepis diminuta: Reporte de un caso | 0 |
| 15 | Caracterización de un modelo organotípico de cultivos de neuronas corticales de humano derivadas de trauma craneoencefálico | 1 |
| 16 | Alteración de la organización laminar y de la dendroarquitectura de la corteza cerebral del humano post-trauma craneoencefálico | 3 |
| 17 | 1 | |
| 18 | Evolución de los pacientes con trauma craneoencefálico en el Hospital Universitario del Valle: Seguimiento a 12 meses | 10 |
| 19 | Fisiopatología del trauma craneoencefálico | 6 |
| 20 | 6 |
About Francisco Guzmán
Francisco Guzmán is a scholar working on Artificial Intelligence, Neurology and Computer Vision and Pattern Recognition, having authored 53 papers that have together received 812 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (31 papers), Topic Modeling (30 papers) and Speech and dialogue systems (8 papers). The work is most often cited by research in Artificial Intelligence (575 citations), Computer Vision and Pattern Recognition (119 citations) and Health Informatics (5 citations). Francisco Guzmán has collaborated with scholars based in United States, Colombia and Qatar. Frequent co-authors include Preslav Nakov, Lluı́s Màrquez, Shafiq Joty, Stephan Vogel, Gerald E. Streit, Naman Goyal, Vishrav Chaudhary, Hassan Sajjad, Ahmed Abdelalí and Peng‐Jen Chen. Their work appears in journals such as Science, Journal of Geophysical Research Atmospheres and Brain Research.
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.