Ikram Chairi

548 total citations · 1 hit paper
10 papers, 239 citations indexed

About

Ikram Chairi is a scholar working on Artificial Intelligence, Computer Networks and Communications and Health Information Management. According to data from OpenAlex, Ikram Chairi has authored 10 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Computer Networks and Communications and 2 papers in Health Information Management. Recurrent topics in Ikram Chairi's work include Imbalanced Data Classification Techniques (4 papers), Medical Coding and Health Information (2 papers) and Anomaly Detection Techniques and Applications (2 papers). Ikram Chairi is often cited by papers focused on Imbalanced Data Classification Techniques (4 papers), Medical Coding and Health Information (2 papers) and Anomaly Detection Techniques and Applications (2 papers). Ikram Chairi collaborates with scholars based in Morocco, France and Ghana. Ikram Chairi's co-authors include Ali Idri, Pierre‐Paul Vidal, Laurent Oudre, Damien Ricard, Flavien Quijoux, François Bertin‐Hugault, Stéphane Buffat, A. Yelnik, Nicolas Vayatis and Julien Audiffren and has published in prestigious journals such as Ecological Modelling, Artificial Intelligence Review and Heliyon.

In The Last Decade

Ikram Chairi

9 papers receiving 229 citations

Hit Papers

A review of center of pre... 2021 2026 2022 2024 2021 40 80 120
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 review of center of pressure (COP) variables to quantify standing balance in elderly people: Algorithms and open‐access code*
    2021 145 citations Flavien Quijoux, Ikram Chairi et al. Physiological Reports profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ikram Chairi Morocco 6 85 49 45 42 23 10 239
Shu Chen China 8 87 1.0× 25 0.5× 72 1.6× 29 0.7× 32 1.4× 30 326
Marco Caruso Italy 8 57 0.7× 34 0.7× 70 1.6× 24 0.6× 11 0.5× 21 208
Ian Sheret United Kingdom 4 75 0.9× 35 0.7× 152 3.4× 47 1.1× 15 0.7× 8 295
Mazen Al Borno United States 9 37 0.4× 31 0.6× 112 2.5× 20 0.5× 9 0.4× 11 270
Djordje Slijepčević Austria 10 75 0.9× 98 2.0× 196 4.4× 33 0.8× 29 1.3× 33 336
Kingshuk Chakravarty India 9 37 0.4× 45 0.9× 122 2.7× 9 0.2× 14 0.6× 31 266
Rafael Caldas Brazil 4 123 1.4× 18 0.4× 187 4.2× 16 0.4× 45 2.0× 8 275
Nobuyasu Nakano Japan 4 59 0.7× 8 0.2× 108 2.4× 73 1.7× 20 0.9× 5 264
Jeong-Woo Seo South Korea 9 59 0.7× 5 0.1× 79 1.8× 22 0.5× 18 0.8× 44 293
Georgios Giarmatzis Greece 8 30 0.4× 24 0.5× 117 2.6× 56 1.3× 29 1.3× 18 268

Countries citing papers authored by Ikram Chairi

Since Specialization
Citations

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

Fields of papers citing papers by Ikram Chairi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ikram Chairi

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

All Works

10 of 10 papers shown
1.
Heuvelink, G.B.M., et al.. (2024). Random forest machine learning for maize yield and agronomic efficiency prediction in Ghana. Heliyon. 10(17). e37065–e37065. 14 indexed citations
2.
Idri, Ali, et al.. (2024). Cost-sensitive learning for imbalanced medical data: a review. Artificial Intelligence Review. 57(4). 42 indexed citations
3.
4.
Épule, Terence Épule, Abdelghani Chehbouni, Victor Ongoma, et al.. (2022). A Systematic National Stocktake of Crop Models in Morocco. Ecological Modelling. 470. 110036–110036. 11 indexed citations
5.
Quijoux, Flavien, Ikram Chairi, Damien Ricard, et al.. (2021). A review of center of pressure (COP) variables to quantify standing balance in elderly people: Algorithms and open‐access code*. Physiological Reports. 9(22). e15067–e15067. 145 indexed citations breakdown →
6.
Chairi, Ikram, et al.. (2019). New security architecture using hybrid IDS for virtual private clouds. 1–5. 2 indexed citations
7.
Chairi, Ikram, et al.. (2014). Sample Selection Based Active Learning for Imbalanced Data. 1. 645–651. 3 indexed citations
8.
Chairi, Ikram, et al.. (2013). Financial Intelligence in Prediction of Firm's Creditworthiness Risk: Evidence from Support Vector Machine Approach. Procedia Economics and Finance. 5. 103–112. 9 indexed citations
9.
Chairi, Ikram, et al.. (2012). Intrusion Detection based Sample Selection for imbalanced data distribution. 259–264. 11 indexed citations
10.
Chairi, Ikram, et al.. (2012). Learning from imbalanced data using methods of sample selection. 4. 254–257. 2 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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2026