André Lamúrias

953 total citations
28 papers, 251 citations indexed

About

André Lamúrias is a scholar working on Molecular Biology, Artificial Intelligence and Information Systems. According to data from OpenAlex, André Lamúrias has authored 28 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 23 papers in Artificial Intelligence and 2 papers in Information Systems. Recurrent topics in André Lamúrias's work include Biomedical Text Mining and Ontologies (19 papers), Topic Modeling (18 papers) and Natural Language Processing Techniques (8 papers). André Lamúrias is often cited by papers focused on Biomedical Text Mining and Ontologies (19 papers), Topic Modeling (18 papers) and Natural Language Processing Techniques (8 papers). André Lamúrias collaborates with scholars based in Portugal, Denmark and France. André Lamúrias's co-authors include Francisco M. Couto, Luka A. Clarke, Mantas Sereika, Mads Albertsen, Katja Hose, Thomas D. Nielsen, M. Barros, Reza M. Salek, Vanessa Neveu and Hugo Martiniano and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

André Lamúrias

25 papers receiving 234 citations

Peers

André Lamúrias
Sam Henry United States
Favorisen Rosyking Lumbanraja Indonesia
Yingtong Liu China
Geraint Duck United Kingdom
Andre Skusa Germany
Nataliya Sklyar United Kingdom
Hwisang Jeon South Korea
Christophe Roeder United States
Hansheng Xue China
Liju Fan United States
Sam Henry United States
André Lamúrias
Citations per year, relative to André Lamúrias André Lamúrias (= 1×) peers Sam Henry

Countries citing papers authored by André Lamúrias

Since Specialization
Citations

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

Fields of papers citing papers by André Lamúrias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of André Lamúrias

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

All Works

20 of 20 papers shown
1.
Lamúrias, André, et al.. (2023). Multilingual bi‐encoder models for biomedical entity linking. Expert Systems. 40(9).
2.
Lamúrias, André, Alessandro Tibo, Katja Hose, Thomas D. Nielsen, & Mads Albertsen. (2023). Metagenomic Binning using Connectivity-constrained Variational Autoencoders. VBN Forskningsportal (Aalborg Universitet). 1 indexed citations
3.
Martiniano, Hugo, et al.. (2023). DGH-GO: dissecting the genetic heterogeneity of complex diseases using gene ontology. BMC Bioinformatics. 24(1). 171–171. 1 indexed citations
4.
Lamúrias, André, Mantas Sereika, Mads Albertsen, Katja Hose, & Thomas D. Nielsen. (2022). Metagenomic binning with assembly graph embeddings. Bioinformatics. 38(19). 4481–4487. 28 indexed citations
5.
Lamúrias, André, et al.. (2021). Information Retrieval Using Machine Learning for Biomarker Curation in the Exposome-Explorer. SHILAP Revista de lepidopterología. 6. 689264–689264. 4 indexed citations
6.
Lamúrias, André, et al.. (2020). LasigeBioTM Team at CLEF2020 ChEMU Evaluation Lab: Named Entity Recognition and Event extraction from chemical reactions described in patents using BioBERT NER and RE.. CLEF (Working Notes). 3 indexed citations
7.
Lamúrias, André, et al.. (2020). Extreme Multi-Label Classification applied to the Biomedical and Multilingual Panorama.. CLEF (Working Notes).
8.
Lamúrias, André, et al.. (2020). Using Neural Networks for Relation Extraction from Biomedical Literature. Methods in molecular biology. 2190. 289–305. 5 indexed citations
9.
Lamúrias, André, et al.. (2020). Linking chemical and disease entities to ontologies by integrating PageRank with extracted relations from literature. Journal of Cheminformatics. 12(1). 57–57. 9 indexed citations
10.
Lamúrias, André, et al.. (2020). Improving accessibility and distinction between negative results in biomedical relation extraction. Genomics & Informatics. 18(2). e20–e20. 2 indexed citations
11.
12.
Lamúrias, André, et al.. (2019). BO-LSTM: classifying relations via long short-term memory networks along biomedical ontologies. BMC Bioinformatics. 20(1). 10–10. 40 indexed citations
13.
Lamúrias, André, et al.. (2019). PPR-SSM: personalized PageRank and semantic similarity measures for entity linking. BMC Bioinformatics. 20(1). 534–534. 13 indexed citations
14.
15.
Couto, Francisco M. & André Lamúrias. (2018). MER: a shell script and annotation server for minimal named entity recognition and linking. Journal of Cheminformatics. 10(1). 58–58. 24 indexed citations
16.
Lamúrias, André, et al.. (2017). Generating a Tolerogenic Cell Therapy Knowledge Graph from Literature. Frontiers in Immunology. 8. 1656–1656. 7 indexed citations
17.
Lamúrias, André, Luka A. Clarke, & Francisco M. Couto. (2017). Extracting microRNA-gene relations from biomedical literature using distant supervision. PLoS ONE. 12(3). e0171929–e0171929. 30 indexed citations
18.
19.
Lamúrias, André, et al.. (2015). Improving chemical entity recognition through h-index based semantic similarity. Journal of Cheminformatics. 7(S1). S13–S13. 24 indexed citations
20.
Lamúrias, André, et al.. (2014). Identifying interactions between chemical entities in biomedical text. PubMed. 11(3). 247–247. 5 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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