Giorgos Borboudakis

614 total citations
14 papers, 323 citations indexed

About

Giorgos Borboudakis is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Giorgos Borboudakis has authored 14 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Computational Theory and Mathematics and 4 papers in Molecular Biology. Recurrent topics in Giorgos Borboudakis's work include Bayesian Modeling and Causal Inference (7 papers), AI-based Problem Solving and Planning (5 papers) and Gene expression and cancer classification (4 papers). Giorgos Borboudakis is often cited by papers focused on Bayesian Modeling and Causal Inference (7 papers), AI-based Problem Solving and Planning (5 papers) and Gene expression and cancer classification (4 papers). Giorgos Borboudakis collaborates with scholars based in Greece, United Kingdom and Norway. Giorgos Borboudakis's co-authors include Ioannis Tsamardinos, George E. Froudakis, Emmanuel Klontzas, Vincenzo Lagani, Vassilis Christophides, Polyvios Pratikakis, Michail Tsagris, Athanasios Mouchtaris, Kleanthi Lakiotaki and Anastasios Alexandridis and has published in prestigious journals such as Machine Learning, Data Mining and Knowledge Discovery and npj Computational Materials.

In The Last Decade

Giorgos Borboudakis

14 papers receiving 315 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giorgos Borboudakis Greece 8 109 92 91 54 31 14 323
Robert MacKnight United States 4 179 1.6× 17 0.2× 82 0.9× 72 1.3× 47 1.5× 4 419
Zheng Yuan China 13 56 0.5× 27 0.3× 217 2.4× 110 2.0× 12 0.4× 41 481
Ben Kline United States 3 178 1.6× 17 0.2× 76 0.8× 72 1.3× 52 1.7× 5 424
Oliver Schilter Switzerland 6 174 1.6× 25 0.3× 58 0.6× 55 1.0× 24 0.8× 9 335
Sam Cox United States 3 189 1.7× 23 0.3× 73 0.8× 59 1.1× 22 0.7× 4 340
Yanan Liu China 12 145 1.3× 25 0.3× 98 1.1× 79 1.5× 163 5.3× 49 560
Y. V. Subba Rao India 12 225 2.1× 175 1.9× 62 0.7× 31 0.6× 25 0.8× 44 637
Guodong Zhao China 11 153 1.4× 52 0.6× 48 0.5× 45 0.8× 113 3.6× 34 424
Yuying Li China 9 77 0.7× 15 0.2× 67 0.7× 18 0.3× 95 3.1× 35 324

Countries citing papers authored by Giorgos Borboudakis

Since Specialization
Citations

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

Fields of papers citing papers by Giorgos Borboudakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giorgos Borboudakis

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

All Works

14 of 14 papers shown
1.
Tsamardinos, Ioannis, Γεώργιος Παπουτσόγλου, Giorgos Borboudakis, et al.. (2022). Just Add Data: automated predictive modeling for knowledge discovery and feature selection. npj Precision Oncology. 6(1). 38–38. 36 indexed citations
2.
Borboudakis, Giorgos & Ioannis Tsamardinos. (2021). Extending greedy feature selection algorithms to multiple solutions. Data Mining and Knowledge Discovery. 35(4). 1393–1434. 12 indexed citations
3.
Lakiotaki, Kleanthi, George Georgakopoulos, Elias Castanas, et al.. (2019). A data driven approach reveals disease similarity on a molecular level. npj Systems Biology and Applications. 5(1). 39–39. 10 indexed citations
4.
Tsamardinos, Ioannis, et al.. (2018). A greedy feature selection algorithm for Big Data of high dimensionality. Machine Learning. 108(2). 149–202. 57 indexed citations
5.
Tsagris, Michail, Giorgos Borboudakis, Vincenzo Lagani, & Ioannis Tsamardinos. (2018). Constraint-based causal discovery with mixed data. International Journal of Data Science and Analytics. 6(1). 19–30. 25 indexed citations
6.
Borboudakis, Giorgos, et al.. (2017). Author Correction: Chemically intuited, large-scale screening of MOFs by machine learning techniques. npj Computational Materials. 3(1). 6 indexed citations
7.
Borboudakis, Giorgos, et al.. (2017). Chemically intuited, large-scale screening of MOFs by machine learning techniques. npj Computational Materials. 3(1). 144 indexed citations
8.
Borboudakis, Giorgos, et al.. (2016). Marginal Causal Consistency in Constraint-based Causal Learning.. 39–47. 1 indexed citations
9.
Borboudakis, Giorgos & Ioannis Tsamardinos. (2016). Towards Robust and Versatile Causal Discovery for Business Applications. 1435–1444. 7 indexed citations
10.
Borboudakis, Giorgos & Ioannis Tsamardinos. (2015). Bayesian network learning with discrete case-control data. Uncertainty in Artificial Intelligence. 151–160. 4 indexed citations
11.
Alexandridis, Anastasios, Giorgos Borboudakis, & Athanasios Mouchtaris. (2015). Addressing the data-association problem for multiple sound source localization using DOA estimates. 2003. 1551–1555. 11 indexed citations
12.
Borboudakis, Giorgos & Ioannis Tsamardinos. (2012). Scoring Bayesian Networks with Informative, Causal and Associative Priors. arXiv (Cornell University). 1 indexed citations
13.
Tsamardinos, Ioannis, et al.. (2012). Chemosensitivity Prediction of Tumours Based on Expression, miRNA, and Proteomics Data. 1(2). 1–19. 1 indexed citations
14.
Borboudakis, Giorgos, et al.. (2011). A constraint-based approach to incorporate prior knowledge in causal models. The European Symposium on Artificial Neural Networks. 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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