Fabian Ojeda

959 total citations
11 papers, 715 citations indexed

About

Fabian Ojeda is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Fabian Ojeda has authored 11 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Artificial Intelligence. Recurrent topics in Fabian Ojeda's work include Gene expression and cancer classification (5 papers), Face and Expression Recognition (3 papers) and Sparse and Compressive Sensing Techniques (2 papers). Fabian Ojeda is often cited by papers focused on Gene expression and cancer classification (5 papers), Face and Expression Recognition (3 papers) and Sparse and Compressive Sensing Techniques (2 papers). Fabian Ojeda collaborates with scholars based in Belgium, United States and Hungary. Fabian Ojeda's co-authors include Bart De Moor, Johan A. K. Suykens, Raf Van de Plas, Jan Luts, Sabine Van Huffel, Yves Moreau, Joana P. Gonçalves, Kris De Brabanter, Joos Vandewalle and Peter Karsmakers and has published in prestigious journals such as Analytica Chimica Acta, Human Reproduction and BMC Bioinformatics.

In The Last Decade

Fabian Ojeda

11 papers receiving 687 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fabian Ojeda Belgium	8	227	111	97	83	83	11	715
Zhiyuan Luo United Kingdom	20	222 1.0×	88 0.8×	287 3.0×	282 3.4×	48 0.6×	92	1.4k
Jean Gao United States	16	309 1.4×	51 0.5×	150 1.5×	76 0.9×	4 0.0×	114	935
Wei Peng China	27	1.4k 6.3×	17 0.2×	134 1.4×	31 0.4×	4 0.0×	96	1.9k
Jörg Wagner Germany	12	117 0.5×	8 0.1×	49 0.5×	29 0.3×	8 0.1×	58	760
Yaxiong Chen China	21	194 0.9×	18 0.2×	98 1.0×	60 0.7×	5 0.1×	103	1.2k
Hasan Abbas United Kingdom	17	137 0.6×	24 0.2×	88 0.9×	137 1.7×	3 0.0×	92	819
Stefan Posch Germany	17	551 2.4×	24 0.2×	70 0.7×	78 0.9×	3 0.0×	105	1.1k
Siow‐Wee Chang Malaysia	15	126 0.6×	83 0.7×	176 1.8×	80 1.0×	3 0.0×	28	775
Jianzhen Li China	18	166 0.7×	2 0.0×	33 0.3×	35 0.4×	110 1.3×	73	1.2k
Yingying Deng China	18	163 0.7×	5 0.0×	150 1.5×	98 1.2×	49 0.6×	71	1.3k

Countries citing papers authored by Fabian Ojeda

Since Specialization

Citations

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

Fields of papers citing papers by Fabian Ojeda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabian Ojeda

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

All Works

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11 of 11 papers shown

Fassbender, Amelie, Etienne Waelkens, Nico Verbeeck, et al.. (2012). Proteomics Analysis of Plasma for Early Diagnosis of Endometriosis. Obstetrics and Gynecology. 119(2, Part 1). 276–285. 32 indexed citations

Fassbender, Amelie, Nico Verbeeck, Daniela Börnigen, et al.. (2012). Combined mRNA microarray and proteomic analysis of eutopic endometrium of women with and without endometriosis. Human Reproduction. 27(7). 2020–2029. 54 indexed citations

Ojeda, Fabian, et al.. (2011). Predicting receptor-ligand pairs through kernel learning. BMC Bioinformatics. 12(1). 336–336. 4 indexed citations

Gonçalves, Joana P., et al.. (2010). Candidate gene prioritization by network analysis of differential expression using machine learning approaches. BMC Bioinformatics. 11(1). 460–460. 91 indexed citations

Luts, Jan, Fabian Ojeda, Raf Van de Plas, et al.. (2010). A tutorial on support vector machine-based methods for classification problems in chemometrics. Analytica Chimica Acta. 665(2). 129–145. 242 indexed citations

Brabanter, Kris De, Peter Karsmakers, Fabian Ojeda, et al.. (2010). LS-SVMlab Toolbox User's Guide version 1.7. KTH Publication Database DiVA (KTH Royal Institute of Technology). 145 indexed citations

Ojeda, Fabian, Tillmann Falck, Bart De Moor, & Johan A. K. Suykens. (2010). Polynomial componentwise LS-SVM: Fast variable selection using low rank updates. 1–7. 3 indexed citations

Daemen, Anneleen, Olivier Gevaert, Fabian Ojeda, et al.. (2009). A kernel-based integration of genome-wide data for clinical decision support. Genome Medicine. 1(4). 39–39. 54 indexed citations

Ojeda, Fabian, Johan A. K. Suykens, & Bart De Moor. (2008). Low rank updated LS-SVM classifiers for fast variable selection. Neural Networks. 21(2-3). 437–449. 44 indexed citations

10.

Ojeda, Fabian, Johan A. K. Suykens, & Bart De Moor. (2007). Variable selection by rank-one updates for least squares support vector machines. IEEE International Conference on Neural Networks. 7. 2283–2288. 3 indexed citations

11.

Plas, Raf Van de, Fabian Ojeda, Maarten Dewil, et al.. (2006). PROSPECTIVE EXPLORATION OF BIOCHEMICAL TISSUE COMPOSITION VIA IMAGING MASS SPECTROMETRY GUIDED BY PRINCIPAL COMPONENT ANALYSIS. PubMed. 458–469. 43 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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