Pablo Loyola
- Information Systems top 5%
- Artificial Intelligence top 10%
- Software top 5%
- Computer Networks and Communications top 10%
- Signal Processing
- Co-authors
- Yutaka MatsuoEdison Marrese-TaylorJuan D. VelásquezGregg RothermelMatt StaatsFumiko SatohPablo E. RománJorge Balazs
- Topics
- Software Engineering Research (10 papers)Topic Modeling (6 papers)Recommender Systems and Techniques (5 papers)
- Journals
- NeurocomputingEngineering Applications of Artificial IntelligencePublications of the Astronomical Society of the Pacific
- Partner nations
- JapanChileSouth Korea
In The Last Decade
Pablo Loyola
28 papers receiving 291 citations
Peers
Comparison fields: 5 of 47
- Information Systems 184
- Artificial Intelligence 128
- Software 79
- Computer Networks and Communications 61
- Signal Processing 31
Countries citing papers authored by Pablo Loyola
This map shows the geographic impact of Pablo Loyola'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 Pablo Loyola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pablo Loyola more than expected).
Fields of papers citing papers by Pablo Loyola
This network shows the impact of papers produced by Pablo Loyola. 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 Pablo Loyola. The network helps show where Pablo Loyola may publish in the future.
Co-authorship network of co-authors of Pablo Loyola
This figure shows the co-authorship network connecting the top 25 collaborators of Pablo Loyola. A scholar is included among the top collaborators of Pablo Loyola 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 Pablo Loyola. Pablo Loyola is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | Learning to Describe Editing Activities in Collaborative Environments: A Case Study on GitHub and Wikipedia. | 1 |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 18 | |
| 9 | 42 | |
| 10 | 79 | |
| 11 | 4 | |
| 12 | 2 | |
| 13 | 15 | |
| 14 | 1 | |
| 15 | 8 | |
| 16 | 18 | |
| 17 | 14 | |
| 18 | 4 | |
| 19 | 2 | |
| 20 | UBVRI photometry of FKSZ stars. IV. | 1 |
About Pablo Loyola
Pablo Loyola is a scholar working on Software, Information Systems and Communication, having authored 30 papers that have together received 308 indexed citations. Recurring topics across this work include Software Engineering Research (10 papers), Topic Modeling (6 papers) and Recommender Systems and Techniques (5 papers). The work is most often cited by research in Software (79 citations), Information Systems (184 citations) and Artificial Intelligence (128 citations). Pablo Loyola has collaborated with scholars based in Japan, Chile and South Korea. Frequent co-authors include Yutaka Matsuo, Edison Marrese-Taylor, Juan D. Velásquez, Gregg Rothermel, Matt Staats, Fumiko Satoh, Pablo E. Román, Jorge Balazs, In‐Young Ko and Gustavo Aroca. Their work appears in journals such as Neurocomputing, Engineering Applications of Artificial Intelligence and Publications of the Astronomical Society of the Pacific.
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.