Inma Hernández

403 total citations
33 papers, 213 citations indexed

About

Inma Hernández is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Inma Hernández has authored 33 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 19 papers in Information Systems and 9 papers in Management Science and Operations Research. Recurrent topics in Inma Hernández's work include Semantic Web and Ontologies (11 papers), Web Data Mining and Analysis (10 papers) and Data Quality and Management (9 papers). Inma Hernández is often cited by papers focused on Semantic Web and Ontologies (11 papers), Web Data Mining and Analysis (10 papers) and Data Quality and Management (9 papers). Inma Hernández collaborates with scholars based in Spain, United States and Japan. Inma Hernández's co-authors include David Ruiz, Carlos R. Rivero, Rafael Corchuelo, Daniel Ayala, Miguel Toro, Enrico Motta, Francesco Osborne, Davide Buscaldi, Danilo Dessı̀ and Erhard Rahm and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Inma Hernández

28 papers receiving 206 citations

Peers

Inma Hernández

MSOR

CNC

Herman J. ter Horst Netherlands

Zhongli Ding United States

Olaf Görlitz Germany

Boris Čule Belgium

Kostyantyn Shchekotykhin Austria

Hiroyuki Shinnou Japan

Huobin Tan China

Benjamin Sznajder Israel

Herman J. ter Horst Netherlands

Inma Hernández

144 ×0.9

81 ×0.7

26 ×0.5

MSOR

87 ×1.9

CNC

18 ×0.5

Citations per year, relative to Inma Hernández Inma Hernández (= 1×) peers Herman J. ter Horst

Countries citing papers authored by Inma Hernández

Since Specialization

Citations

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

Fields of papers citing papers by Inma Hernández

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inma Hernández

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

All Works

Sort: Min cites: Since: Top N: Style:

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.

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

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

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

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

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

10.

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

11.

Hernández, Inma, Carlos R. Rivero, David Ruiz, & Rafael Corchuelo. (2016). CALA: ClAssifying Links Automatically based on their URL. Journal of Systems and Software. 115. 130–143. 7 indexed citations

12.

Rivero, Carlos R., et al.. (2015). Discovering and Analysing Ontological Models From Big RDF Data. Journal of Database Management. 26(2). 48–61. 5 indexed citations

13.

Hernández, Inma, et al.. (2015). Cloud Configuration Modelling: A Literature Review from an Application Integration Deployment Perspective. Procedia Computer Science. 64. 977–983. 6 indexed citations

14.

Rivero, Carlos R., Inma Hernández, David Ruiz, & Rafael Corchuelo. (2014). MostoDEx: A tool to exchange RDF data using exchange samples. Journal of Systems and Software. 100. 67–79. 2 indexed citations

15.

Rivero, Carlos R., Inma Hernández, David Ruiz, & Rafael Corchuelo. (2013). MostoDE: A tool to exchange data amongst semantic-web ontologies. Journal of Systems and Software. 86(6). 1517–1529. 5 indexed citations

16.

Hernández, Inma, Carlos R. Rivero, David Ruiz, & Rafael Corchuelo. (2012). A statistical approach to URL-based web page clustering. 525–526. 12 indexed citations

17.

Rivero, Carlos R., Inma Hernández, David Ruiz, & Rafael Corchuelo. (2012). Exchanging Data amongst Linked Data applications. Knowledge and Information Systems. 37(3). 693–729. 10 indexed citations

18.

Rivero, Carlos R., Inma Hernández, David Ruiz, & Rafael Corchuelo. (2011). Generating SPARQL executable mappings to integrate ontologies. 118–131. 15 indexed citations

19.

Rivero, Carlos R., Inma Hernández, David Ruiz, & Rafael Corchuelo. (2011). On benchmarking data translation systems for semantic-web ontologies. 1613–1618. 8 indexed citations

20.

Hernández, Inma, et al.. (2004). Current Activities and Status of the ESA/ESTEC-Industry Wireless Onboard Spacecraft Working Group. ESASP. 570. 15. 1 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.

Explore authors with similar magnitude of impact