Imane Boudellioua

720 total citations
8 papers, 114 citations indexed

About

Imane Boudellioua is a scholar working on Molecular Biology, Genetics and Information Systems. According to data from OpenAlex, Imane Boudellioua has authored 8 papers receiving a total of 114 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Information Systems. Recurrent topics in Imane Boudellioua's work include Genomics and Rare Diseases (3 papers), Genomics and Phylogenetic Studies (3 papers) and Biomedical Text Mining and Ontologies (2 papers). Imane Boudellioua is often cited by papers focused on Genomics and Rare Diseases (3 papers), Genomics and Phylogenetic Studies (3 papers) and Biomedical Text Mining and Ontologies (2 papers). Imane Boudellioua collaborates with scholars based in Saudi Arabia and United Kingdom. Imane Boudellioua's co-authors include Robert Hoehndorf, Georgios V. Gkoutos, Maxat Kulmanov, Paul N. Schofield, María Martin, Vladimir B. Bajić, Nadia Schoenmakers, Rozaimi Razali, Rabie Saidi and Victor Solovyev and has published in prestigious journals such as PLoS ONE, Scientific Reports and BMC Bioinformatics.

In The Last Decade

Imane Boudellioua

8 papers receiving 112 citations

Peers

Imane Boudellioua

MB

GENET

CR

CTM

AI

Amanda E. Links United States

David Bujold Canada

Tristan Nelson United States

Shay Zakov Israel

Elise D. Flynn United States

Matthias Thurner United Kingdom

Chendi Wang China

Jordi Abante United States

Angel A. Ku United States

Amanda E. Links United States

Imane Boudellioua

44 ×0.6

MB

73 ×1.2

GENET

25 ×1.3

CR

3 ×0.4

CTM

7 ×1.4

AI

Citations per year, relative to Imane Boudellioua Imane Boudellioua (= 1×) peers Amanda E. Links

Countries citing papers authored by Imane Boudellioua

Since Specialization

Citations

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

Fields of papers citing papers by Imane Boudellioua

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Imane Boudellioua

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

All Works

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8 of 8 papers shown

1.

Tombuloğlu, Hüseyin, Cevat Yaman, Imane Boudellioua, et al.. (2023). Metagenome analyses of microbial population in geotextile fabrics used in permeable reactor barriers for toluene biodegradation. 3 Biotech. 13(2). 40–40. 2 indexed citations

2.

Alsunaidi, Shikah J., et al.. (2022). Performance Evaluation of Machine Learning Models on Apache Spark: An Empirical Study. 17. 498–504. 2 indexed citations

3.

Boudellioua, Imane, et al.. (2022). hCoronavirusesDB: an integrated bioinformatics resource for human coronaviruses. Database. 2022. 3 indexed citations

4.

Boudellioua, Imane, Maxat Kulmanov, Paul N. Schofield, Georgios V. Gkoutos, & Robert Hoehndorf. (2019). DeepPVP: phenotype-based prioritization of causative variants using deep learning. BMC Bioinformatics. 20(1). 65–65. 52 indexed citations

5.

Boudellioua, Imane, Maxat Kulmanov, Paul N. Schofield, Georgios V. Gkoutos, & Robert Hoehndorf. (2018). OligoPVP: Phenotype-driven analysis of individual genomic information to prioritize oligogenic disease variants. Scientific Reports. 8(1). 14681–14681. 14 indexed citations

6.

Boudellioua, Imane, Rozaimi Razali, Maxat Kulmanov, et al.. (2017). Semantic prioritization of novel causative genomic variants. PLoS Computational Biology. 13(4). e1005500–e1005500. 25 indexed citations

7.

Saidi, Rabie, Imane Boudellioua, María Martin, & Victor Solovyev. (2017). Rule Mining Techniques to Predict Prokaryotic Metabolic Pathways. Methods in molecular biology. 1613. 311–331. 3 indexed citations

8.

Boudellioua, Imane, Rabie Saidi, Robert Hoehndorf, María Martin, & Victor Solovyev. (2016). Prediction of Metabolic Pathway Involvement in Prokaryotic UniProtKB Data by Association Rule Mining. PLoS ONE. 11(7). e0158896–e0158896. 13 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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