Eva Gibaja

20 papers and 701 indexed citations i.

About

Eva Gibaja is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Eva Gibaja has authored 20 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 10 papers in Information Systems and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Eva Gibaja’s work include Text and Document Classification Technologies (12 papers), Machine Learning and Data Classification (5 papers) and Image Retrieval and Classification Techniques (4 papers). Eva Gibaja is often cited by papers focused on Text and Document Classification Technologies (12 papers), Machine Learning and Data Classification (5 papers) and Image Retrieval and Classification Techniques (4 papers). Eva Gibaja collaborates with scholars based in Spain, Saudi Arabia and United States. Eva Gibaja's co-authors include Sebastián Ventura, Jose M. Moyano, Krzysztof J. Cios, Amelia Zafra, José María Luna, Alberto Cano, Cristóbal Romero, Francisco Romero, César Hervás‐Martínez and Waldo Fajardo and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and ACM Computing Surveys.

In The Last Decade

Co-authorship network of co-authors of Eva Gibaja i

Fields of papers citing papers by Eva Gibaja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Eva Gibaja

Since Specialization
Citations

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

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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2025