Daniel Ayala

436 total citations
26 papers, 298 citations indexed

About

Daniel Ayala is a scholar working on Artificial Intelligence, Automotive Engineering and Management Science and Operations Research. According to data from OpenAlex, Daniel Ayala has authored 26 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 7 papers in Automotive Engineering and 7 papers in Management Science and Operations Research. Recurrent topics in Daniel Ayala's work include Topic Modeling (7 papers), Smart Parking Systems Research (6 papers) and Transportation and Mobility Innovations (6 papers). Daniel Ayala is often cited by papers focused on Topic Modeling (7 papers), Smart Parking Systems Research (6 papers) and Transportation and Mobility Innovations (6 papers). Daniel Ayala collaborates with scholars based in Spain, United States and Japan. Daniel Ayala's co-authors include Ouri Wolfson, Jie Lin, Bhaskar DasGupta, Bo Xu, Bo Xu, David Ruiz, Inma Hernández, Carlos R. Rivero, Miguel Toro and Naphtali Rishe and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Daniel Ayala

21 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Ayala Spain	8	176	150	101	56	46	26	298
Flavien Balbo France	7	55 0.3×	70 0.5×	84 0.8×	57 1.0×	70 1.5×	36	192
Hitoshi Kanoh Japan	9	63 0.4×	41 0.3×	76 0.8×	79 1.4×	48 1.0×	42	313
Daocheng Fu China	8	74 0.4×	75 0.5×	38 0.4×	54 1.0×	76 1.7×	16	253
Minne Li China	5	45 0.3×	132 0.9×	66 0.7×	77 1.4×	55 1.2×	11	276
Bjørn Petersen Denmark	8	114 0.6×	204 1.4×	82 0.8×	17 0.3×	32 0.7×	11	437
Ming‐Kai Jiau Taiwan	12	110 0.6×	207 1.4×	113 1.1×	51 0.9×	20 0.4×	16	390
H. Kawashima Japan	10	78 0.4×	82 0.5×	83 0.8×	17 0.3×	79 1.7×	57	285
Ana Paias Portugal	12	37 0.2×	120 0.8×	79 0.8×	58 1.0×	31 0.7×	22	342
Kai-Fung Chu Hong Kong	10	169 1.0×	131 0.9×	161 1.6×	41 0.7×	120 2.6×	29	383
Leon Kester Netherlands	9	42 0.2×	53 0.4×	47 0.5×	106 1.9×	107 2.3×	56	314

Countries citing papers authored by Daniel Ayala

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Ayala

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Ayala

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

All Works

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20 of 20 papers shown

Ayala, Daniel, et al.. (2025). Refining satellite trajectories with celestial body features using neural networks. Expert Systems with Applications. 281. 127453–127453.

Dessı̀, Danilo, Daniel Ayala, Inma Hernández, et al.. (2025). Research hypothesis generation over scientific knowledge graphs. Knowledge-Based Systems. 315. 113280–113280. 1 indexed citations

Ayala, Daniel, Marina R. Pulido, Rafael Ayala, et al.. (2024). ginmappeR: an unified approach for integrating gene and protein identifiers across biological sequence databases. Bioinformatics Advances. 4(1). vbae129–vbae129.

Lacerda, Anísio, et al.. (2023). An Empirical Analysis of Vision Transformers Robustness to Spurious Correlations in Health Data. 38. 1–8. 1 indexed citations

Ayala, Daniel, et al.. (2023). Deep embeddings and Graph Neural Networks: using context to improve domain-independent predictions. Applied Intelligence. 53(19). 22415–22428. 5 indexed citations

Ayala, Rafael, Daniel Ayala, Lara Sellés Vidal, & David Ruiz. (2023). asteRisk - Integration and Analysis of Satellite Positional Data in R. The R Journal. 15(1). 34–54. 1 indexed citations

Ayala, Daniel, et al.. (2023). AYNEXT - tools for streamlining the evaluation of link prediction techniques. SoftwareX. 23. 101474–101474. 3 indexed citations

Ayala, Daniel, Rafael Ayala, Lara Sellés Vidal, Inma Hernández, & David Ruiz. (2023). Neural Networks for Aircraft Trajectory Prediction: Answering Open Questions About Their Performance. IEEE Access. 11. 26593–26610.

Ayala, Daniel, Inma Hernández, David Ruiz, & Erhard Rahm. (2022). Multi-source dataset of e-commerce products with attributes for property matching. Data in Brief. 41. 107884–107884. 1 indexed citations

10.

Ayala, Daniel, et al.. (2021). CAFE: Knowledge graph completion using neighborhood-aware features. Engineering Applications of Artificial Intelligence. 103. 104302–104302. 20 indexed citations

11.

Ayala, Daniel, Inma Hernández, David Ruiz, & Erhard Rahm. (2021). LEAPME: Learning-based Property Matching with Embeddings. idUS (Universidad de Sevilla). 5 indexed citations

12.

Ayala, Daniel, et al.. (2019). Generating Rules to Filter Candidate Triples for their Correctness Checking by Knowledge Graph Completion Techniques. idUS (Universidad de Sevilla). 115–122. 9 indexed citations

13.

Ayala, Daniel, et al.. (2019). A neural network for semantic labelling of structured information. Expert Systems with Applications. 143. 113053–113053. 6 indexed citations

14.

Ayala, Daniel, Inma Hernández, David Ruiz, & Miguel Toro. (2019). TAPON-MT: A versatile framework for semantic labelling. Information Systems. 83. 57–68. 2 indexed citations

15.

Ayala, Daniel, Inma Hernández, David Ruiz, & Miguel Toro. (2018). TAPON: A two-phase machine learning approach for semantic labelling. Knowledge-Based Systems. 163. 931–943. 12 indexed citations

16.

Ayala, Daniel, et al.. (2015). An approach for discovering keywords from Spanish tweets using Wikipedia. SHILAP Revista de lepidopterología. 4(2). 73–88. 2 indexed citations

17.

Wolfson, Ouri, et al.. (2015). A framework on spatio-temporal resource search. 1043–1048. 5 indexed citations

18.

Ayala, Daniel, Ouri Wolfson, Bo Xu, Bhaskar DasGupta, & Jie Lin. (2012). Parking in Competitive Settings: A Gravitational Approach. 1. 27–32. 24 indexed citations

19.

Ayala, Daniel, Ouri Wolfson, Bo Xu, Bhaskar DasGupta, & Jie Lin. (2012). Pricing of parking for congestion reduction. 43–51. 60 indexed citations

20.

Ayala, Daniel, Ouri Wolfson, Bo Xu, Bhaskar DasGupta, & Jie Lin. (2011). Parking slot assignment games. 299–308. 108 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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