Víctor J. Díaz
- Biochemistry top 5%
- Food Science top 10%
- Nutrition and Dietetics top 10%
- Molecular Biology
- Plant Science
- Co-authors
- Ulf SvanbergFabiola Castorena‐TorresGabriel A. AguirreIrene Martín‐EstalInma Castilla‐CortázarÚrsula MuñozJoaquı́n ArenasJorge Martínez
- Topics
- Natural Language Processing Techniques (5 papers)Neonatal and Maternal Infections (4 papers)Neonatal Respiratory Health Research (4 papers)
- Partner nations
- MexicoSpainUnited States
In The Last Decade
Víctor J. Díaz
25 papers receiving 581 citations
Peers
Comparison fields: 5 of 121
- Biochemistry 181
- Food Science 113
- Nutrition and Dietetics 109
- Molecular Biology 97
- Plant Science 66
Countries citing papers authored by Víctor J. Díaz
This map shows the geographic impact of Víctor J. Díaz'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 Víctor J. Díaz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Víctor J. Díaz more than expected).
Fields of papers citing papers by Víctor J. Díaz
This network shows the impact of papers produced by Víctor J. Díaz. 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 Víctor J. Díaz. The network helps show where Víctor J. Díaz may publish in the future.
Co-authorship network of co-authors of Víctor J. Díaz
This figure shows the co-authorship network connecting the top 25 collaborators of Víctor J. Díaz. A scholar is included among the top collaborators of Víctor J. Díaz 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 Víctor J. Díaz. Víctor J. Díaz 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 | 8 | |
| 3 | 12 | |
| 4 | 23 | |
| 5 | 3 | |
| 6 | 12 | |
| 7 | 3 | |
| 8 | 27 | |
| 9 | 34 | |
| 10 | 6 | |
| 11 | 34 | |
| 12 | 30 | |
| 13 | 2 | |
| 14 | 11 | |
| 15 | Una herramienta para la manipulación de corpora bilingüe usando distancia léxica | 0 |
| 16 | Parsing Tree Adjoining Grammars and Tree Insertion Grammars with Simultaneous Adjunctions | 1 |
| 17 | 274 | |
| 18 | Bidirectional Automata for Tree Adjoining Grammars | 1 |
| 19 | A Bidirectional Bottom-up Parser for TAG | 0 |
| 20 | 18 |
About Víctor J. Díaz
Víctor J. Díaz is a scholar working on Family Practice, Radiological and Ultrasound Technology and Critical Care and Intensive Care Medicine, having authored 35 papers that have together received 605 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (5 papers), Neonatal and Maternal Infections (4 papers) and Neonatal Respiratory Health Research (4 papers). The work is most often cited by research in Biochemistry (181 citations), Nutrition and Dietetics (109 citations) and Food Science (113 citations). Víctor J. Díaz has collaborated with scholars based in Mexico, Spain and United States. Frequent co-authors include Ulf Svanberg, Fabiola Castorena‐Torres, Gabriel A. Aguirre, Irene Martín‐Estal, Inma Castilla‐Cortázar, Úrsula Muñoz, Joaquı́n Arenas, Jorge Martínez, Ignacio de los Santos and Eduardo Gutiérrez. Their work appears in journals such as Scientific Reports, Clinical Chemistry and Nutrients.
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.