Manuel Vilares Ferro

500 citations
29 papers · 335 indexed · h-index 7
Topics
Natural Language Processing Techniques (14 papers)Algorithms and Data Compression (7 papers)Machine Learning and Algorithms (5 papers)
Partner nations
SpainFrance

In The Last Decade

Manuel Vilares Ferro

19 papers receiving 310 citations

Peers

Manuel Vilares Ferro
Comparison fields: 5 of 91
  • Epidemiology 187
  • Ophthalmology 146
  • Radiology, Nuclear Medicine and Imaging 145
  • Cognitive Neuroscience 59
  • Artificial Intelligence 59
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Countries citing papers authored by Manuel Vilares Ferro

Since Specialization
Citations

This map shows the geographic impact of Manuel Vilares Ferro'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 Manuel Vilares Ferro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manuel Vilares Ferro more than expected).

Fields of papers citing papers by Manuel Vilares Ferro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manuel Vilares Ferro. 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 Manuel Vilares Ferro. The network helps show where Manuel Vilares Ferro may publish in the future.

Co-authorship network of co-authors of Manuel Vilares Ferro

This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Vilares Ferro. A scholar is included among the top collaborators of Manuel Vilares Ferro 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 Manuel Vilares Ferro. Manuel Vilares Ferro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 43
3 1
4 5
5 5
6
On Pattern-Matching as Query Facility.
1
7
A common solution for tokenization and part-of-speech tagging: one-pass Viterbi algorithm vs. Iterative approaches
7
8 0
9
Integrating external dictionaries into stochastic part-of-speech taggers
6
10
Bidirectional Automata for Tree Adjoining Grammars
1
11
Finite state morphology and formal verification
1
12
GALENA: Tabular DCG Parsing for Natural Languages
0
13
An Opterational Model for Parsing Definite Clause Grammars with Infinite Terms
0
14 2
15
Exploring interactive chart parsing
2
16
An efficient context-free backbone for natural language analyzers
1
17 54
18 167
19 2
20 17

About Manuel Vilares Ferro

Manuel Vilares Ferro is a scholar working on Software, Artificial Intelligence and Ophthalmology, having authored 29 papers that have together received 335 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (14 papers), Algorithms and Data Compression (7 papers) and Machine Learning and Algorithms (5 papers). The work is most often cited by research in Ophthalmology (146 citations), Radiology, Nuclear Medicine and Imaging (145 citations) and Epidemiology (187 citations). Manuel Vilares Ferro has collaborated with scholars based in Spain and France. Frequent co-authors include Ismael Miranda, Rafael Navarro, Pablo Artal, Miguel Á. Alonso, M. Ángeles Jiménez, María J. Alonso, Jesús Vilares, Jean-Cédric Chappelier, Luis Anido and Víctor J. Díaz. Their work appears in journals such as Expert Systems with Applications, Neural Networks and Journal of the Optical Society of America A.

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.

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