Nicolas Matentzoglu

4.4k total citations
44 papers, 413 citations indexed

About

Nicolas Matentzoglu is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Nicolas Matentzoglu has authored 44 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 27 papers in Artificial Intelligence and 7 papers in Genetics. Recurrent topics in Nicolas Matentzoglu's work include Biomedical Text Mining and Ontologies (35 papers), Semantic Web and Ontologies (23 papers) and Bioinformatics and Genomic Networks (10 papers). Nicolas Matentzoglu is often cited by papers focused on Biomedical Text Mining and Ontologies (35 papers), Semantic Web and Ontologies (23 papers) and Bioinformatics and Genomic Networks (10 papers). Nicolas Matentzoglu collaborates with scholars based in United Kingdom, United States and Germany. Nicolas Matentzoglu's co-authors include Bijan Parsia, Chris Mungall, Robert Stevens, Rafael S. Gonçalves, James Malone, Ulrike Sattler, Birte Glimm, Melissa Haendel, Nomi L. Harris and Peter N. Robinson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Development.

In The Last Decade

Nicolas Matentzoglu

41 papers receiving 399 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicolas Matentzoglu United Kingdom 11 245 212 89 35 30 44 413
Sylvie Ranwez France 9 212 0.9× 223 1.1× 83 0.9× 16 0.5× 63 2.1× 21 450
Jennifer Vendetti United States 5 143 0.6× 130 0.6× 56 0.6× 18 0.5× 10 0.3× 8 243
Pablo Duboue United States 10 512 2.1× 333 1.6× 80 0.9× 17 0.5× 27 0.9× 25 726
Beatrice Alex United Kingdom 16 607 2.5× 293 1.4× 56 0.6× 48 1.4× 16 0.5× 73 845
Claire Nédellec France 13 423 1.7× 331 1.6× 91 1.0× 25 0.7× 14 0.5× 33 595
Mariana Neves Germany 14 603 2.5× 533 2.5× 49 0.6× 24 0.7× 26 0.9× 41 803
Waleed Ammar United States 11 352 1.4× 92 0.4× 149 1.7× 14 0.4× 22 0.7× 19 502
Céline Rouveirol France 12 261 1.1× 151 0.7× 94 1.1× 13 0.4× 49 1.6× 28 477
Susanne M. Humphrey United States 14 512 2.1× 638 3.0× 94 1.1× 28 0.8× 52 1.7× 35 844
Tom Christiansen United States 7 150 0.6× 113 0.5× 72 0.8× 11 0.3× 18 0.6× 13 330

Countries citing papers authored by Nicolas Matentzoglu

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Matentzoglu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Matentzoglu

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Matentzoglu. A scholar is included among the top collaborators of Nicolas Matentzoglu 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 Nicolas Matentzoglu. Nicolas Matentzoglu 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.
Hegde, Harshad, Jennifer Vendetti, Damien Goutte-Gattat, et al.. (2025). A change language for ontologies and knowledge graphs. Database. 2025. 4 indexed citations
2.
Tammen, Imke, Nicolas Matentzoglu, Marius Mather, et al.. (2025). The Vertebrate Breed Ontology: Toward Effective Breed Data Standardization. Journal of Veterinary Internal Medicine. 39(4). e70133–e70133.
3.
Souza, Vinícius de, Melissa Haendel, Nomi L. Harris, et al.. (2025). Towards a standard benchmark for phenotype-driven variant and gene prioritisation algorithms: PhEval - Phenotypic inference Evaluation framework. BMC Bioinformatics. 26(1). 87–87. 1 indexed citations
4.
Matentzoglu, Nicolas, et al.. (2024). Increased discoverability of rare disease datasets through knowledge graph integration. JAMIA Open. 8(1). ooaf001–ooaf001.
5.
Caufield, J. Harry, Harshad Hegde, Vincent Emonet, et al.. (2024). Structured Prompt Interrogation and Recursive Extraction of Semantics (SPIRES): a method for populating knowledge bases using zero-shot learning. Bioinformatics. 40(3). 31 indexed citations
6.
7.
Tan, Shawn Zheng Kai, Brian D. Aevermann, Tom Gillespie, et al.. (2023). Brain Data Standards - A method for building data-driven cell-type ontologies. Scientific Data. 10(1). 50–50. 7 indexed citations
8.
Pendlington, Zoë May, Paola Roncaglia, Julien Gobeill, et al.. (2022). COVoc and COVTriage: novel resources to support literature triage. Bioinformatics. 39(1). 1 indexed citations
9.
Fisher, Malcolm E, Erik Segerdell, Nicolas Matentzoglu, et al.. (2022). The Xenopus phenotype ontology: bridging model organism phenotype data to human health and development. BMC Bioinformatics. 23(1). 99–99. 4 indexed citations
10.
Nowotarski, Stephanie H., Sofia Robb, Eric Ross, et al.. (2021). Planarian Anatomy Ontology: a resource to connect data within and across experimental platforms. Development. 148(15). 11 indexed citations
11.
Bertrand, Stéphanie, João E. Carvalho, Delphine Dauga, et al.. (2021). The Ontology of the Amphioxus Anatomy and Life Cycle (AMPHX). Frontiers in Cell and Developmental Biology. 9. 668025–668025. 8 indexed citations
12.
Matentzoglu, Nicolas, et al.. (2019). Phenotype Ontologies Traversing All The Organisms (POTATO) workshop: 2nd edition. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
13.
Kurdi, Ghader, et al.. (2019). Ontology-Based Generation of Medical, Multi-term MCQs. International Journal of Artificial Intelligence in Education. 29(2). 145–188. 44 indexed citations
14.
Matentzoglu, Nicolas, James Malone, Chris Mungall, & Robert Stevens. (2018). MIRO: guidelines for minimum information for the reporting of an ontology. Journal of Biomedical Semantics. 9(1). 6–6. 42 indexed citations
15.
Matentzoglu, Nicolas, et al.. (2015). A Survey of Current, Stand-alone OWL Reasoners. Research Explorer (The University of Manchester). 68–79. 5 indexed citations
16.
Lee, Michael, Nicolas Matentzoglu, Ulrike Sattler, & Bijan Parsia. (2015). Verifying Reasoner Correctness - A Justication Based Method. Research Explorer (The University of Manchester). 46–52. 1 indexed citations
17.
Matentzoglu, Nicolas, et al.. (2014). The manchester OWL repository: system description. Research Explorer (The University of Manchester). 285–288. 7 indexed citations
18.
Matentzoglu, Nicolas, Bijan Parsia, & Ulrike Sattler. (2014). An Empirical Investigation of Difficulty of Subsets of Description Logic Ontologies. Research Explorer (The University of Manchester). 659–670. 1 indexed citations
19.
Matentzoglu, Nicolas, et al.. (2013). A Corpus of OWL DL Ontologies.. Research Explorer (The University of Manchester). 1014. 829–841. 8 indexed citations
20.
Gonçalves, Rafael S., Nicolas Matentzoglu, Bijan Parsia, & Ulrike Sattler. (2013). The empirical robustness of description logic classification. Research Explorer (The University of Manchester). 1014. 197–208. 8 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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