Ángel Conde

1.1k total citations · 1 hit paper
17 papers, 595 citations indexed

About

Ángel Conde is a scholar working on Artificial Intelligence, Signal Processing and Computer Science Applications. According to data from OpenAlex, Ángel Conde has authored 17 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 5 papers in Signal Processing and 4 papers in Computer Science Applications. Recurrent topics in Ángel Conde's work include Anomaly Detection Techniques and Applications (6 papers), Semantic Web and Ontologies (5 papers) and Time Series Analysis and Forecasting (5 papers). Ángel Conde is often cited by papers focused on Anomaly Detection Techniques and Applications (6 papers), Semantic Web and Ontologies (5 papers) and Time Series Analysis and Forecasting (5 papers). Ángel Conde collaborates with scholars based in Spain, United Kingdom and Norway. Ángel Conde's co-authors include Enrique Onieva, Isaac Triguero, Usue Mori, José A. Lozano, Mikel Larrañaga, Jon A. Elorriaga, Ana Arruarte, Raúl Miñón, Aitor Milo and Irantzu Barrio and has published in prestigious journals such as IEEE Access, ACM Computing Surveys and Information Sciences.

In The Last Decade

Ángel Conde

16 papers receiving 572 citations

Hit Papers

Multi-head CNN–RNN for multi-time series anomaly detectio... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ángel Conde Spain 9 332 146 136 118 80 17 595
Fulufhelo V. Nelwamondo South Africa 15 232 0.7× 124 0.8× 55 0.4× 110 0.9× 104 1.3× 86 737
Usue Mori Spain 12 367 1.1× 337 2.3× 162 1.2× 120 1.0× 43 0.5× 24 805
Mario Andrés Muñoz Australia 15 477 1.4× 49 0.3× 73 0.5× 87 0.7× 54 0.7× 55 857
Sin G. Teo Singapore 10 245 0.7× 121 0.8× 141 1.0× 116 1.0× 35 0.4× 27 638
Guangyin Jin China 16 213 0.6× 224 1.5× 51 0.4× 276 2.3× 94 1.2× 32 1.1k
Murtadha M. Hamad Iraq 6 192 0.6× 62 0.4× 77 0.6× 57 0.5× 58 0.7× 30 413
Lyudmila Sukhostat Azerbaijan 11 256 0.8× 105 0.7× 204 1.5× 189 1.6× 45 0.6× 27 734
Yong Qi China 17 152 0.5× 68 0.5× 51 0.4× 263 2.2× 76 0.9× 49 988
Md. Sakib Bin Alam Bangladesh 8 194 0.6× 44 0.3× 113 0.8× 46 0.4× 73 0.9× 20 731

Countries citing papers authored by Ángel Conde

Since Specialization
Citations

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

Fields of papers citing papers by Ángel Conde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ángel Conde. 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 Ángel Conde. The network helps show where Ángel Conde may publish in the future.

Co-authorship network of co-authors of Ángel Conde

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

All Works

17 of 17 papers shown
1.
Wickstrøm, Kristoffer, Shujian Yu, Karl Øyvind Mikalsen, et al.. (2023). Selective Imputation for Multivariate Time Series Datasets With Missing Values. IEEE Transactions on Knowledge and Data Engineering. 35(9). 9490–9501. 11 indexed citations
2.
Conde, Ángel, et al.. (2021). Water leak detection using self-supervised time series classification. Information Sciences. 574. 528–541. 25 indexed citations
3.
Conde, Ángel, et al.. (2021). A Review on Outlier/Anomaly Detection in Time Series Data. ACM Computing Surveys. 54(3). 1–33. 134 indexed citations
4.
Salazar, Fernando, et al.. (2020). Combination of advanced numerical methods and machine learning for dam safety assessment. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 1 indexed citations
5.
Conde, Ángel, et al.. (2020). A review on outlier/anomaly detection in time series data. arXiv (Cornell University). 4 indexed citations
6.
Conde, Ángel, Ana Arruarte, Mikel Larrañaga, & Jon A. Elorriaga. (2020). How can wikipedia be used to support the process of automatically building multilingual domain modules? a case study.. Information Processing & Management. 57(4). 102232–102232. 2 indexed citations
7.
Conde, Ángel, et al.. (2019). otsad: A package for online time-series anomaly detectors. Neurocomputing. 374. 49–53. 9 indexed citations
8.
Conde, Ángel, et al.. (2019). Implementation of a Large-Scale Platform for Cyber-Physical System Real-Time Monitoring. IEEE Access. 7. 52455–52466. 43 indexed citations
9.
Conde, Ángel, et al.. (2019). Short-term office building elevator energy consumption forecast using SARIMA. Journal of Building Performance Simulation. 13(1). 69–78. 24 indexed citations
10.
Conde, Ángel, Mikel Larrañaga, Ana Arruarte, & Jon A. Elorriaga. (2019). A Combined Approach for Eliciting Relationships for Educational Ontologies Using General-Purpose Knowledge Bases. IEEE Access. 7. 48339–48355. 7 indexed citations
11.
Triguero, Isaac, et al.. (2019). Multi-head CNN–RNN for multi-time series anomaly detection: An industrial case study. Neurocomputing. 363. 246–260. 281 indexed citations breakdown →
12.
Conde, Ángel, Mikel Larrañaga, Ana Arruarte, Jon A. Elorriaga, & Dan Roth. (2015). litewi: A combined term extraction and entity linking method for eliciting educational ontologies from textbooks. Journal of the Association for Information Science and Technology. 67(2). 380–399. 20 indexed citations
13.
Arruarte, Ana, et al.. (2014). Collaborative and Multilingual Approach to Learn Database Topics Using Concept Maps. The Scientific World JOURNAL. 2014. 1–8. 2 indexed citations
14.
Larrañaga, Mikel, et al.. (2013). Ikaste-domeinuaren sorkuntza erdiautomatikoa. EKAIA Euskal Herriko Unibertsitateko Zientzi eta Teknologi Aldizkaria. 419–437.
15.
Larrañaga, Mikel, et al.. (2013). Automatic Generation of the Domain Module from Electronic Textbooks: Method and Validation. IEEE Transactions on Knowledge and Data Engineering. 26(1). 69–82. 18 indexed citations
16.
Conde, Ángel, et al.. (2012). Automating the authoring of learning material in Computer Engineering education. 1–6. 6 indexed citations

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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