Mondher Maddouri

528 total citations
20 papers, 269 citations indexed

About

Mondher Maddouri is a scholar working on Computational Theory and Mathematics, Information Systems and Artificial Intelligence. According to data from OpenAlex, Mondher Maddouri has authored 20 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computational Theory and Mathematics, 6 papers in Information Systems and 6 papers in Artificial Intelligence. Recurrent topics in Mondher Maddouri's work include Rough Sets and Fuzzy Logic (9 papers), Machine Learning in Bioinformatics (5 papers) and Data Mining Algorithms and Applications (5 papers). Mondher Maddouri is often cited by papers focused on Rough Sets and Fuzzy Logic (9 papers), Machine Learning in Bioinformatics (5 papers) and Data Mining Algorithms and Applications (5 papers). Mondher Maddouri collaborates with scholars based in Tunisia, France and Saudi Arabia. Mondher Maddouri's co-authors include Engelbert Mephu Nguifo, Sabeur Aridhi, Haithem Mezni, Mourad Elloumi, Rabie Saidi, Laurent d’Orazio, Ali Jaoua, Samir Elloumi, Wajdi Dhifli and Haïtham Sghaier and has published in prestigious journals such as BMC Bioinformatics, Information Sciences and Knowledge-Based Systems.

In The Last Decade

Mondher Maddouri

19 papers receiving 257 citations

Peers

Mondher Maddouri

CNC

CTM

Deepak Ajwani Ireland

Guy Jacobson United States

Shubho Sengupta United States

Dietmar Seipel Germany

Reda Mohamed Hamou Algeria

Franck Thollard France

Mateusz Pawlik Austria

Ignacio Arnaldo United States

Nadime Francis France

Deepak Ajwani Ireland

Mondher Maddouri

45 ×0.4

101 ×1.0

95 ×1.5

CNC

47 ×0.8

CTM

31 ×0.6

Citations per year, relative to Mondher Maddouri Mondher Maddouri (= 1×) peers Deepak Ajwani

Countries citing papers authored by Mondher Maddouri

Since Specialization

Citations

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

Fields of papers citing papers by Mondher Maddouri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mondher Maddouri

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

All Works

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20 of 20 papers shown

Aridhi, Sabeur, et al.. (2022). A distributed and incremental algorithm for large-scale graph clustering. Future Generation Computer Systems. 134. 334–347. 5 indexed citations

Maddouri, Mondher, et al.. (2021). DFC. 11(2). 38–62. 1 indexed citations

Aridhi, Sabeur, et al.. (2019). Multiple instance learning for sequence data with across bag dependencies. International Journal of Machine Learning and Cybernetics. 11(3). 629–642. 2 indexed citations

Aridhi, Sabeur, et al.. (2018). An experimental survey on big data frameworks. Future Generation Computer Systems. 86. 546–564. 86 indexed citations

Saidi, Rabie, Wajdi Dhifli, Mondher Maddouri, & Engelbert Mephu Nguifo. (2018). Efficiently Mining Recurrent Substructures from Protein Three-Dimensional Structure Graphs. Journal of Computational Biology. 26(6). 561–571. 2 indexed citations

Maddouri, Mondher, et al.. (2017). A New Feature Selection Method for Nominal Classifier based on Formal Concept Analysis. Procedia Computer Science. 112. 186–194. 27 indexed citations

Maddouri, Mondher, et al.. (2016). New Taxonomy of Classification Methods Based on Formal Concepts Analysis.. 113–120. 1 indexed citations

Aridhi, Sabeur, et al.. (2015). Prediction of Ionizing Radiation Resistance in Bacteria Using a Multiple Instance Learning Model. Journal of Computational Biology. 23(1). 10–20. 3 indexed citations

Aridhi, Sabeur, Laurent d’Orazio, Mondher Maddouri, & Engelbert Mephu Nguifo. (2014). Un partitionnement basé sur la densité de graphe pour approcher la fouille distribuée de sous-graphes fréquents. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations

10.

Aridhi, Sabeur, et al.. (2014). Un partitionnement basé sur la densité de graphe pour approcher la fouille distribuée de sous-graphes fréquents. 33(9-10). 727–731. 1 indexed citations

11.

Maddouri, Mondher, et al.. (2014). Parallel Learning and Classification for Rules based on Formal Concepts. Procedia Computer Science. 35. 358–367. 5 indexed citations

12.

Aridhi, Sabeur, Laurent d’Orazio, Mondher Maddouri, & Engelbert Mephu Nguifo. (2013). Density-based data partitioning strategy to approximate large-scale subgraph mining. Information Systems. 48. 213–223. 31 indexed citations

13.

Saidi, Rabie, Mondher Maddouri, & Engelbert Mephu Nguifo. (2010). Protein sequences classification by means of feature extraction with substitution matrices. BMC Bioinformatics. 11(1). 175–175. 40 indexed citations

14.

Maddouri, Mondher, et al.. (2006). On Statistical Measures for Selecting Pertinent Formal Concepts to Discover Production Rules from Data. 780–784. 1 indexed citations

15.

Maddouri, Mondher. (2005). A Formal Concept Analysis Approach to Discover Association Rules from Data. 7 indexed citations

16.

Maddouri, Mondher & Mourad Elloumi. (2004). Encoding of primary structures of biological macromolecules within a data mining perspective. Journal of Computer Science and Technology. 19(1). 78–88. 7 indexed citations

17.

Maddouri, Mondher. (2004). Towards a machine learning approach based on incremental concept formation. Intelligent Data Analysis. 8(3). 267–280. 9 indexed citations

18.

Maddouri, Mondher & Mourad Elloumi. (2002). A data mining approach based on machine learning techniques to classify biological sequences. Knowledge-Based Systems. 15(4). 217–223. 24 indexed citations

19.

Maddouri, Mondher, Samir Elloumi, & Ali Jaoua. (1998). An incremental learning system for imprecise and uncertain knowledge discovery. Information Sciences. 109(1-4). 149–164. 11 indexed citations

20.

Maddouri, Mondher & Ali Jaoua. (1996). Incremental rule production: towards a uniform approach for knowledge organization. 295–304. 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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