Héctor Allende
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Management Science and Operations Research top 10%
- Environmental Engineering
- Co-authors
- Carlos ValleRodrigo SalasClaudio MoragaEsteban GilHenrik MadsenHéctor Allende‐CidAlejandro C. FreryIgnacio Araya
- Topics
- Neural Networks and Applications (10 papers)Face and Expression Recognition (7 papers)Energy Load and Power Forecasting (6 papers)
- Cited by
- Artificial IntelligenceManagement Science and Operations ResearchStatistics and Probability
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsInformation Sciences
In The Last Decade
Héctor Allende
52 papers receiving 454 citations
Peers
Comparison fields: 5 of 97
- Artificial Intelligence 186
- Electrical and Electronic Engineering 130
- Computer Vision and Pattern Recognition 83
- Management Science and Operations Research 59
- Environmental Engineering 53
Countries citing papers authored by Héctor Allende
This map shows the geographic impact of Héctor Allende'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 Héctor Allende with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Héctor Allende more than expected).
Fields of papers citing papers by Héctor Allende
This network shows the impact of papers produced by Héctor Allende. 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 Héctor Allende. The network helps show where Héctor Allende may publish in the future.
Co-authorship network of co-authors of Héctor Allende
This figure shows the co-authorship network connecting the top 25 collaborators of Héctor Allende. A scholar is included among the top collaborators of Héctor Allende 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 Héctor Allende. Héctor Allende 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 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 6 | |
| 6 | 3 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | 17 | |
| 10 | 6 | |
| 11 | 1 | |
| 12 | Query Intent Detection Based on Query Log Mining. | 5 |
| 13 | 6 | |
| 14 | 18 | |
| 15 | Novel Frank-Wolfe Methods for SVM Learning | 1 |
| 16 | 1 | |
| 17 | Proceedings - 8th International Conference on Hybrid Intelligent Systems, HIS 2008 | 18 |
| 18 | 15 | |
| 19 | Robust estimation of confidence interval in neural networks applied to time series | 1 |
| 20 | Artificial neural networks in time series forecasting: a comparative analysis | 48 |
About Héctor Allende
Héctor Allende is a scholar working on Artificial Intelligence, Management Science and Operations Research and Signal Processing, having authored 59 papers that have together received 474 indexed citations. Recurring topics across this work include Neural Networks and Applications (10 papers), Face and Expression Recognition (7 papers) and Energy Load and Power Forecasting (6 papers). The work is most often cited by research in Artificial Intelligence (186 citations), Management Science and Operations Research (59 citations) and Statistics and Probability (38 citations). Héctor Allende has collaborated with scholars based in Chile, Germany and Spain. Frequent co-authors include Carlos Valle, Rodrigo Salas, Claudio Moraga, Esteban Gil, Henrik Madsen, Héctor Allende‐Cid, Alejandro C. Frery, Ignacio Araya, Luis Pizarro and Marcelo Mendoza. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Information Sciences.
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.