Miguel E. Ruiz

1.3k total citations
42 papers, 800 citations indexed

About

Miguel E. Ruiz is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Miguel E. Ruiz has authored 42 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 15 papers in Molecular Biology and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Miguel E. Ruiz's work include Biomedical Text Mining and Ontologies (14 papers), Topic Modeling (12 papers) and Semantic Web and Ontologies (11 papers). Miguel E. Ruiz is often cited by papers focused on Biomedical Text Mining and Ontologies (14 papers), Topic Modeling (12 papers) and Semantic Web and Ontologies (11 papers). Miguel E. Ruiz collaborates with scholars based in United States, Spain and Germany. Miguel E. Ruiz's co-authors include Padmini Srinivasan, Gautam Pant, Filippo Menczer, David Eichmann, Donald H. Kraft, Jianhua Chen, Xiufeng Liu, Alan R. Aronson, W. John Wilbur and Susanne M. Humphrey and has published in prestigious journals such as Journal of Research in Science Teaching, Information Processing & Management and Robotics and Autonomous Systems.

In The Last Decade

Miguel E. Ruiz

40 papers receiving 699 citations

Peers

Miguel E. Ruiz
Comparison fields: 5 of 69
  • Artificial Intelligence 563
  • Information Systems 363
  • Molecular Biology 170
  • Computer Vision and Pattern Recognition 115
  • Computer Networks and Communications 72
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Cornelis J. van Rijsbergen United Kingdom
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Citations per field, relative to Miguel E. Ruiz
Miguel E. Ruiz · 1×
Citations per year, relative to Miguel E. Ruiz
Miguel E. Ruiz · 1×

Countries citing papers authored by Miguel E. Ruiz

Since Specialization
Citations

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

Fields of papers citing papers by Miguel E. Ruiz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miguel E. Ruiz. 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 Miguel E. Ruiz. The network helps show where Miguel E. Ruiz may publish in the future.

Co-authorship network of co-authors of Miguel E. Ruiz

This figure shows the co-authorship network connecting the top 25 collaborators of Miguel E. Ruiz. A scholar is included among the top collaborators of Miguel E. Ruiz 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 Miguel E. Ruiz. Miguel E. Ruiz 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
# Work Indexed citations
1 1
2
UNT at ImageCLEF 2011: Relevance Models and Salient Semantic Analysis for Image Retrieval
2
3
Combining Resources to Find Answers to Biomedical Questions.
29
4
Eficiencia de sistemas de aislamiento sísmico basados en resortes helicoidales y amortiguadores viscosos
1
5 2
6
UB at TREC-Genomics 2006: Using Passage Retrieval and Pre-retrieval Query Expansion for Genomics IR
4
7
Finding Relevant Passages in Scientific Articles: Fusion of Automatic Approaches vs. an Interactive Team Effort.
13
8
UB at CLEF 2005: Medical Image Retrieval Task
2
9
Experiments on Genomics Ad Hoc Retrieval.
4
10
UB at TREC 13: Genomics Track.
0
11
Deslizamientos en Puerto Rico producidos por lluvias: Descripción general
1
12 2
13 1
14
CINDOR TREC-9 English-Chinese Evaluation.
3
15
Hierarchical Neural Networks for Text Categorization.
65
16 3
17
CINDOR Conceptual Interlingua Document Retrieval: TREC-8 Evaluation
20
18
Cross-Language Information Retrieval: An Analysis of Errors.
1
19
Cluster-Based Adaptive and Batch Filtering.
6
20 41

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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