Alberto García-Durán

1.4k total citations · 1 hit paper
16 papers, 448 citations indexed

About

Alberto García-Durán is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Alberto García-Durán has authored 16 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 3 papers in Management Science and Operations Research and 2 papers in Computer Networks and Communications. Recurrent topics in Alberto García-Durán's work include Topic Modeling (9 papers), Advanced Graph Neural Networks (7 papers) and Data Quality and Management (3 papers). Alberto García-Durán is often cited by papers focused on Topic Modeling (9 papers), Advanced Graph Neural Networks (7 papers) and Data Quality and Management (3 papers). Alberto García-Durán collaborates with scholars based in Switzerland, France and Belgium. Alberto García-Durán's co-authors include Mathias Niepert, Sebastijan Dumančić, Antoine Bordes, Nicolas Usunier, Robert West, Yves Grandvalet, Loı̈c M. Roch, Roberto González, Filipe Manco and Alessandro Castrogiovanni and has published in prestigious journals such as Chemical Science, Proceedings of the VLDB Endowment and Journal of Artificial Intelligence Research.

In The Last Decade

Alberto García-Durán

16 papers receiving 436 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Learning Sequence Encoders for Temporal Knowledge Graph Completion

2018 289 citations Alberto García-Durán, Sebastijan Dumančić et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alberto García-Durán Switzerland	8	397	125	83	54	25	16	448
Xixun Lin China	10	291 0.7×	60 0.5×	65 0.8×	163 3.0×	27 1.1×	21	362
Sebastijan Dumančić Belgium	6	393 1.0×	97 0.8×	97 1.2×	53 1.0×	16 0.6×	12	428
Arvind Neelakantan United States	8	607 1.5×	57 0.5×	68 0.8×	44 0.8×	30 1.2×	11	645
Siwei Rao China	3	343 0.9×	104 0.8×	36 0.4×	43 0.8×	30 1.2×	6	364
Jatin Chauhan India	3	344 0.9×	70 0.6×	52 0.6×	38 0.7×	50 2.0×	10	376
Deepak Nathani United States	5	360 0.9×	70 0.6×	53 0.6×	44 0.8×	50 2.0×	6	399
Diego Marcheggiani Italy	8	601 1.5×	33 0.3×	106 1.3×	75 1.4×	39 1.6×	14	671
Mosha Chen China	13	509 1.3×	76 0.6×	47 0.6×	67 1.2×	8 0.3×	19	543
Congle Zhang United States	7	673 1.7×	97 0.8×	46 0.6×	104 1.9×	9 0.4×	8	714

Countries citing papers authored by Alberto García-Durán

Since Specialization

Citations

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

Fields of papers citing papers by Alberto García-Durán

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alberto García-Durán. 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 Alberto García-Durán. The network helps show where Alberto García-Durán may publish in the future.

Co-authorship network of co-authors of Alberto García-Durán

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

All Works

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16 of 16 papers shown

Schilter, Oliver, Alessandro Castrogiovanni, Alberto García-Durán, et al.. (2024). Combining Bayesian optimization and automation to simultaneously optimize reaction conditions and routes. Chemical Science. 15(20). 7732–7741. 13 indexed citations

García-Durán, Alberto, et al.. (2024). Generative models for synthetic data generation: application to pharmacokinetic/pharmacodynamic data. Journal of Pharmacokinetics and Pharmacodynamics. 51(6). 877–885. 3 indexed citations

Hickman, Riley J., et al.. (2023). Equipping data-driven experiment planning for Self-driving Laboratories with semantic memory: case studies of transfer learning in chemical reaction optimization. Reaction Chemistry & Engineering. 8(9). 2284–2296. 12 indexed citations

Gerlach, Martin, et al.. (2022). Wikipedia Reader Navigation. arXiv (Cornell University). 16–26. 3 indexed citations

García-Durán, Alberto, et al.. (2022). A critical re-evaluation of neural methods for entity alignment. Proceedings of the VLDB Endowment. 15(8). 1712–1725. 16 indexed citations

González, Roberto, et al.. (2021). User profiling by network observers. Ktisis at Cyprus University of Technology (Cyprus University of Technology). 212–222. 4 indexed citations

García-Durán, Alberto & Robert West. (2021). Recursive Input and State Estimation: a General Framework for Learning from Time Series With Missing Data. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 52. 3535–3539. 2 indexed citations

García-Durán, Alberto, et al.. (2021). Node Attribute Completion in Knowledge Graphs with Multi-Relational Propagation. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 3590–3594. 8 indexed citations

Dumančić, Sebastijan, Alberto García-Durán, & Mathias Niepert. (2019). A Comparative Study of Distributional and Symbolic Paradigms for Relational Learning. Lirias (KU Leuven). 6088–6094. 3 indexed citations

10.

Dumančić, Sebastijan, Alberto García-Durán, & Mathias Niepert. (2018). On embeddings as an alternative paradigm for relational learning.. arXiv (Cornell University). 1 indexed citations

11.

García-Durán, Alberto, Sebastijan Dumančić, & Mathias Niepert. (2018). Learning Sequence Encoders for Temporal Knowledge Graph Completion. 4816–4821. 289 indexed citations breakdown →

12.

González, Roberto, et al.. (2017). Network Data Monetization Using Net2Vec. 37–39. 3 indexed citations

13.

Oñoro-Rubio, Daniel, Mathias Niepert, Alberto García-Durán, Roberto González, & Roberto J. López-Sastre. (2017). Representation Learning for Visual-Relational Knowledge Graphs.. 4 indexed citations

14.

González, Roberto, Filipe Manco, Alberto García-Durán, et al.. (2017). Net2Vec. 13–18. 14 indexed citations

15.

García-Durán, Alberto, Antoine Bordes, Nicolas Usunier, & Yves Grandvalet. (2016). Combining Two and Three-Way Embedding Models for Link Prediction in Knowledge Bases. Journal of Artificial Intelligence Research. 55. 715–742. 25 indexed citations

16.

García-Durán, Alberto, Antoine Bordes, & Nicolas Usunier. (2015). Composing Relationships with Translations. HAL (Le Centre pour la Communication Scientifique Directe). 286–290. 48 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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