Eva Gibaja

50 total papers · 1.2k total citations
29 papers, 840 citations indexed

About

Eva Gibaja is a scholar working on Artificial Intelligence, Information Systems and Computer Science Applications. According to data from OpenAlex, Eva Gibaja has authored 29 papers receiving a total of 840 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 13 papers in Information Systems and 7 papers in Computer Science Applications. Recurrent topics in Eva Gibaja's work include Text and Document Classification Technologies (15 papers), Machine Learning and Data Classification (6 papers) and Spam and Phishing Detection (5 papers). Eva Gibaja is often cited by papers focused on Text and Document Classification Technologies (15 papers), Machine Learning and Data Classification (6 papers) and Spam and Phishing Detection (5 papers). Eva Gibaja collaborates with scholars based in Spain, United States and Saudi Arabia. Eva Gibaja's co-authors include Sebastián Ventura, Jose M. Moyano, Krzysztof J. Cios, Amelia Zafra, Alberto Cano, José María Luna, Cristóbal Romero, Francisco Romero, Waldo Fajardo and César Hervás‐Martínez and has published in prestigious journals such as Expert Systems with Applications, ACM Computing Surveys and Information Sciences.

In The Last Decade

Eva Gibaja

27 papers receiving 808 citations

Hit Papers

A Tutorial on Multilabel ... 2015 2026 2018 2022 2015 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Eva Gibaja 701 279 223 133 39 29 840
Wei Bi 727 1.0× 210 0.8× 162 0.7× 65 0.5× 62 1.6× 32 890
Eneldo Loza Mencía 910 1.3× 345 1.2× 302 1.4× 177 1.3× 59 1.5× 31 1.0k
Eleftherios Spyromitros-Xioufis 495 0.7× 310 1.1× 148 0.7× 103 0.8× 35 0.9× 17 709
Nanda Kambhatla 792 1.1× 76 0.3× 151 0.7× 99 0.7× 42 1.1× 25 901
John Boaz Lee 655 0.9× 169 0.6× 157 0.7× 118 0.9× 30 0.8× 19 855
Youli Qu 597 0.9× 134 0.5× 343 1.5× 51 0.4× 42 1.1× 27 785
Albert Orriols-Puig 687 1.0× 126 0.5× 85 0.4× 101 0.8× 40 1.0× 33 870
Selma Ayşe Özel 695 1.0× 118 0.4× 216 1.0× 53 0.4× 80 2.1× 49 932
Eisaku Maeda 515 0.7× 265 0.9× 131 0.6× 39 0.3× 57 1.5× 47 741
Xiubo Geng 543 0.8× 274 1.0× 222 1.0× 20 0.2× 60 1.5× 42 792

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).

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.

Co-authorship network of co-authors of Eva Gibaja

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

All Works

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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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