Fouad Slimane

507 total citations
25 papers, 351 citations indexed

About

Fouad Slimane is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Fouad Slimane has authored 25 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 4 papers in Media Technology. Recurrent topics in Fouad Slimane's work include Handwritten Text Recognition Techniques (25 papers), Image Retrieval and Classification Techniques (10 papers) and Text and Document Classification Technologies (8 papers). Fouad Slimane is often cited by papers focused on Handwritten Text Recognition Techniques (25 papers), Image Retrieval and Classification Techniques (10 papers) and Text and Document Classification Technologies (8 papers). Fouad Slimane collaborates with scholars based in Switzerland, Tunisia and Germany. Fouad Slimane's co-authors include Rolf Ingold, Slim Kanoun, Jean Hennebert, Adel M. Alimi, Volker Märgner, Hao Wei, Haikal El Abed, Monji Kherallah, Mohammad Tanvir Parvez and Anguelos Nicolaou and has published in prestigious journals such as Pattern Recognition Letters, International Journal of Intelligent Systems Technologies and Applications and Infoscience (Ecole Polytechnique Fédérale de Lausanne).

In The Last Decade

Fouad Slimane

25 papers receiving 330 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fouad Slimane Switzerland	11	334	120	109	15	12	25	351
Axel Brink Netherlands	8	286 0.9×	106 0.9×	83 0.8×	10 0.7×	14 1.2×	10	301
Slim Kanoun Tunisia	14	455 1.4×	204 1.7×	153 1.4×	24 1.6×	10 0.8×	37	499
Shi-Xue Zhang China	8	300 0.9×	67 0.6×	145 1.3×	12 0.8×	12 1.0×	9	332
Fan Bai China	7	331 1.0×	94 0.8×	94 0.9×	10 0.7×	8 0.7×	19	382
Stefan Fiel Austria	11	479 1.4×	175 1.5×	151 1.4×	24 1.6×	21 1.8×	16	507
Apurva A. Desai India	9	227 0.7×	91 0.8×	165 1.5×	6 0.4×	5 0.4×	30	277
Raid Saabni Israel	10	280 0.8×	86 0.7×	108 1.0×	7 0.5×	11 0.9×	25	290
Abderrazak Zahour France	9	275 0.8×	46 0.4×	164 1.5×	5 0.3×	8 0.7×	15	285
Joan Puigcerver Spain	11	289 0.9×	171 1.4×	41 0.4×	19 1.3×	37 3.1×	19	329
Shuaitao Zhang China	7	352 1.1×	86 0.7×	143 1.3×	15 1.0×	13 1.1×	10	392

Countries citing papers authored by Fouad Slimane

Since Specialization

Citations

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

Fields of papers citing papers by Fouad Slimane

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fouad Slimane

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Slimane, Fouad, et al.. (2019). PHTI-WS: A Printed and Handwritten Text Identification Web Service Based on FCN and CRF Post-Processing. 2. 20–25. 4 indexed citations

Slimane, Fouad, Rolf Ingold, & Jean Hennebert. (2017). ICDAR2017 Competition on Multi-Font and Multi-Size Digitally Represented Arabic Text. ArODES (HES-SO (https://www.hes-so.ch/)). 1466–1472. 3 indexed citations

Slimane, Fouad, et al.. (2017). A web-based tool for segmentation and automatic transcription of historical documents. 53. 2730–2737. 1 indexed citations

Slimane, Fouad, et al.. (2017). Arabic font recognition system applied to different text entity level analysis. 23. 36–40. 6 indexed citations

Slimane, Fouad, et al.. (2017). Writing type, script and language identification in heterogeneous documents. International Journal of Intelligent Systems Technologies and Applications. 16(3). 225–225. 1 indexed citations

Slimane, Fouad, et al.. (2015). Text Line Detection and Transcription Alignment: A Case Study on the Statuti del Doge Tiepolo. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2 indexed citations

Nicolaou, Anguelos, et al.. (2014). Local Binary Patterns for Arabic Optical Font Recognition. 30. 76–80. 7 indexed citations

Slimane, Fouad & Volker Märgner. (2014). A New Text-Independent GMM Writer Identification System Applied to Arabic Handwriting. 708–713. 14 indexed citations

Slimane, Fouad, et al.. (2014). ICFHR2014 Competition on Arabic Writer Identification Using AHTID/MW and KHATT Databases. 797–802. 13 indexed citations

10.

Slimane, Fouad, et al.. (2014). Identification of Arabic/French Handwritten/Printed Words using GMM-Based System.. 371–374. 8 indexed citations

11.

Slimane, Fouad, et al.. (2014). GMM-based handwriting style identification system for historical documents. 387–392. 1 indexed citations

12.

Slimane, Fouad, et al.. (2014). Printed/handwritten Arabic script identification using local features and GMMs. 2. 1–6. 3 indexed citations

13.

Wei, Hao, et al.. (2013). Evaluation of SVM, MLP and GMM Classifiers for Layout Analysis of Historical Documents. 1220–1224. 26 indexed citations

14.

Slimane, Fouad, Slim Kanoun, Haikal El Abed, et al.. (2013). ICDAR2013 Competition on Multi-font and Multi-size Digitally Represented Arabic Text. ArODES (HES-SO (https://www.hes-so.ch/)). 1433–1437. 18 indexed citations

15.

Slimane, Fouad, Slim Kanoun, Haikal El Abed, et al.. (2011). ICDAR 2011 - Arabic Recognition Competition: Multi-font Multi-size Digitally Represented Text. 2. 1449–1453. 15 indexed citations

16.

Slimane, Fouad, Rolf Ingold, Slim Kanoun, Adel M. Alimi, & Jean Hennebert. (2010). Impact of Character Models Choice on Arabic Text Recognition Performance. 670–675. 14 indexed citations

17.

Slimane, Fouad, Slim Kanoun, Adel M. Alimi, Rolf Ingold, & Jean Hennebert. (2010). Gaussian Mixture Models for Arabic Font Recognition. 2174–2177. 13 indexed citations

18.

Slimane, Fouad, et al.. (2009). Database and Evaluation Protocols for Arabic Printed Text Recognition. 17 indexed citations

19.

Slimane, Fouad, Rolf Ingold, Slim Kanoun, Adel M. Alimi, & Jean Hennebert. (2009). A New Arabic Printed Text Image Database and Evaluation Protocols. 946–950. 103 indexed citations

20.

Kanoun, Slim, et al.. (2009). Affixal Approach versus Analytical Approach for Off-Line Arabic Decomposable Vocabulary Recognition. 661–665. 7 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.

Explore authors with similar magnitude of impact