Hanen Borchani

836 total citations · 1 hit paper
8 papers, 506 citations indexed

About

Hanen Borchani is a scholar working on Artificial Intelligence, Management Science and Operations Research and Infectious Diseases. According to data from OpenAlex, Hanen Borchani has authored 8 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 2 papers in Management Science and Operations Research and 1 paper in Infectious Diseases. Recurrent topics in Hanen Borchani's work include Machine Learning and Data Classification (4 papers), Bayesian Modeling and Causal Inference (3 papers) and Data Stream Mining Techniques (2 papers). Hanen Borchani is often cited by papers focused on Machine Learning and Data Classification (4 papers), Bayesian Modeling and Causal Inference (3 papers) and Data Stream Mining Techniques (2 papers). Hanen Borchani collaborates with scholars based in Spain, Denmark and Norway. Hanen Borchani's co-authors include Concha Bielza, Pedro Larrañaga, Gherardo Varando, Ana María Martínez, Andrés R. Masegosa, João Gama, Nahla Ben Amor, Helge Langseth, Antonio Salmerón and Anders L. Madsen and has published in prestigious journals such as Journal of Biomedical Informatics, Artificial Intelligence in Medicine and Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery.

In The Last Decade

Hanen Borchani

8 papers receiving 484 citations

Hit Papers

A survey on multi‐output regression 2015 2026 2018 2022 2015 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A survey on multi‐output regression
    2015 409 citations Hanen Borchani, Gherardo Varando et al. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hanen Borchani Spain 6 200 85 47 43 38 8 506
Gherardo Varando Spain 7 229 1.1× 78 0.9× 72 1.5× 48 1.1× 46 1.2× 25 653
Rafael Gomes Mantovani Brazil 12 239 1.2× 76 0.9× 27 0.6× 42 1.0× 49 1.3× 34 594
B. Venkatesh India 5 202 1.0× 74 0.9× 26 0.6× 36 0.8× 32 0.8× 20 475
Giulia DeSalvo United States 6 306 1.5× 114 1.3× 32 0.7× 55 1.3× 30 0.8× 14 598
Hongfang Zhou China 8 241 1.2× 108 1.3× 28 0.6× 39 0.9× 45 1.2× 21 471
André Luis Debiaso Rossi Brazil 11 361 1.8× 100 1.2× 39 0.8× 69 1.6× 35 0.9× 32 720
Hassan Ramchoun Morocco 5 208 1.0× 65 0.8× 33 0.7× 54 1.3× 22 0.6× 14 548
Johannes Schmidt-Hieber Netherlands 8 211 1.1× 81 1.0× 30 0.6× 46 1.1× 19 0.5× 22 535
Yunsheng Song China 6 105 0.5× 53 0.6× 39 0.8× 42 1.0× 25 0.7× 19 395
Muhammad Zubair Rehman Malaysia 9 159 0.8× 57 0.7× 42 0.9× 55 1.3× 14 0.4× 31 419

Countries citing papers authored by Hanen Borchani

Since Specialization
Citations

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

Fields of papers citing papers by Hanen Borchani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanen Borchani

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

All Works

8 of 8 papers shown
1.
Borchani, Hanen, Pedro Larrañaga, João Gama, & Concha Bielza. (2016). Mining multi-dimensional concept-drifting data streams using Bayesian network classifiers. Intelligent Data Analysis. 20(2). 257–280. 9 indexed citations
2.
Masegosa, Andrés R., Ana María Martínez, & Hanen Borchani. (2016). Probabilistic Graphical Models on Multi-Core CPUs Using Java 8. IEEE Computational Intelligence Magazine. 11(2). 41–54. 8 indexed citations
3.
Borchani, Hanen, Gherardo Varando, Concha Bielza, & Pedro Larrañaga. (2015). A survey on multi‐output regression. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 5(5). 216–233. 409 indexed citations breakdown →
4.
Masegosa, Andrés R., Ana María Martínez, Hanen Borchani, et al.. (2015). AMIDST: Analysis of MassIve Data STreams. VBN Forskningsportal (Aalborg Universitet). 1 indexed citations
5.
Borchani, Hanen, et al.. (2013). Predicting human immunodeficiency virus inhibitors using multi-dimensional Bayesian network classifiers. Artificial Intelligence in Medicine. 57(3). 219–229. 30 indexed citations
6.
7.
Borchani, Hanen, Pedro Larrañaga, & Concha Bielza. (2011). Classifying evolving data streams with partially labeled data. Intelligent Data Analysis. 15(5). 655–670. 13 indexed citations
8.
Borchani, Hanen, et al.. (2008). LEARNING AND EVALUATING BAYESIAN NETWORK EQUIVALENCE CLASSES FROM INCOMPLETE DATA. International Journal of Pattern Recognition and Artificial Intelligence. 22(2). 253–278. 5 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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