Mohamed Limam

1.6k total citations
64 papers, 1.1k citations indexed

About

Mohamed Limam is a scholar working on Artificial Intelligence, Statistics, Probability and Uncertainty and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mohamed Limam has authored 64 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 17 papers in Statistics, Probability and Uncertainty and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mohamed Limam's work include Advanced Statistical Process Monitoring (17 papers), Face and Expression Recognition (14 papers) and Advanced Statistical Methods and Models (9 papers). Mohamed Limam is often cited by papers focused on Advanced Statistical Process Monitoring (17 papers), Face and Expression Recognition (14 papers) and Advanced Statistical Methods and Models (9 papers). Mohamed Limam collaborates with scholars based in Tunisia, Oman and Germany. Mohamed Limam's co-authors include Lassâad Lakhal, Fédérico Pasin, Hassen Taleb, Claus Weihs, Fŕed́eric Precioso, Nadia Essoussi, Kaoru Hirota, Raffaella A. Del Sarto, Sharad Borle and Sami Faïz and has published in prestigious journals such as Expert Systems with Applications, International Journal of Production Research and Machine Learning.

In The Last Decade

Mohamed Limam

62 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohamed Limam Tunisia 18 278 251 232 207 191 64 1.1k
Antonie Stam United States 24 44 0.2× 295 1.2× 238 1.0× 115 0.6× 335 1.8× 60 1.5k
Liguo Fei China 25 197 0.7× 582 2.3× 273 1.2× 46 0.2× 203 1.1× 57 1.7k
Roger W. Hoerl United States 24 289 1.0× 148 0.6× 72 0.3× 1.1k 5.2× 362 1.9× 62 2.0k
Ping-Teng Chang Taiwan 21 45 0.2× 265 1.1× 218 0.9× 99 0.5× 386 2.0× 44 1.2k
Chi-Bin Cheng Taiwan 19 87 0.3× 339 1.4× 107 0.5× 133 0.6× 193 1.0× 52 1.1k
Byung Rae Cho United States 23 771 2.8× 62 0.2× 87 0.4× 414 2.0× 124 0.6× 85 1.9k
Tim Verdonck Belgium 16 128 0.5× 295 1.2× 63 0.3× 28 0.1× 255 1.3× 80 1.3k
Chonghui Guo China 24 50 0.2× 745 3.0× 179 0.8× 36 0.2× 106 0.6× 101 1.9k
John S. Ramberg United States 17 546 2.0× 227 0.9× 90 0.4× 81 0.4× 848 4.4× 47 1.7k
Long‐Sheng Chen Taiwan 20 87 0.3× 504 2.0× 274 1.2× 81 0.4× 8 0.0× 110 1.4k

Countries citing papers authored by Mohamed Limam

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed Limam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohamed Limam

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

All Works

20 of 20 papers shown
1.
Limam, Mohamed & Fŕed́eric Precioso. (2017). AF Detection and ECG Classification�based on Convolutional Recurrent Neural Network. Computing in cardiology. 44. 3 indexed citations
2.
Limam, Mohamed, et al.. (2016). Robust Generalized Low Rank Approximation of Matrices for image recognition. 42. 203–207. 4 indexed citations
3.
Charrad, Malika, et al.. (2015). A Comparative Study of Multi-SOM Algorithms for Determining the Optimal Number of Clusters. International Journal of Future Computer and Communication. 4(3). 198–202. 4 indexed citations
4.
Limam, Mohamed & Raffaella A. Del Sarto. (2015). Periphery Under Pressure: Morocco, Tunisia and the European Union's Mobility Partnership on Migration. SSRN Electronic Journal. 14 indexed citations
5.
Limam, Mohamed, et al.. (2014). Economic design of attribute np control charts using a variable sampling policy. Applied Stochastic Models in Business and Industry. 31(4). 483–494. 21 indexed citations
6.
Limam, Mohamed, et al.. (2014). An improved customer lifetime value model based on Markov chain. Applied Stochastic Models in Business and Industry. 31(4). 528–535. 7 indexed citations
7.
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9.
Essoussi, Nadia, et al.. (2013). Data mining techniques to predict protein secondary structures. 1–5. 1 indexed citations
10.
Limam, Mohamed, et al.. (2012). Consensus Decision for Protein Structure Classification. 4(3). 216–222. 2 indexed citations
11.
Limam, Mohamed, et al.. (2011). Variable window adaptive Kernel Principal Component Analysis for nonlinear nonstationary process monitoring. Computers & Industrial Engineering. 61(3). 437–446. 65 indexed citations
12.
Weihs, Claus, et al.. (2011). Kernel k-means clustering based local support vector domain description fault detection of multimodal processes. Expert Systems with Applications. 39(2). 2166–2171. 54 indexed citations
13.
Taleb, Hassen, et al.. (2010). Support vector regression based residual control charts. Journal of Applied Statistics. 37(2). 309–324. 28 indexed citations
14.
Limam, Mohamed, et al.. (2010). On monitoring financial stress index with extreme value theory. Quantitative Finance. 12(3). 329–339. 4 indexed citations
15.
Taleb, Hassen, et al.. (2010). An assessment of the kernel‐distance‐based multivariate control chart through an industrial application. Quality and Reliability Engineering International. 27(4). 391–401. 26 indexed citations
16.
Essoussi, Nadia, et al.. (2009). Partitioning clustering algorithms for protein sequence data sets. BioData Mining. 2(1). 3–3. 13 indexed citations
17.
Essoussi, Nadia, et al.. (2008). A comparison of MSA tools. Bioinformation. 2(10). 2455–2455. 15 indexed citations
18.
Limam, Mohamed, et al.. (2007). Residual Responses to Change Patterns of Autocorrelated Processes. Journal of Applied Statistics. 34(7). 785–798. 6 indexed citations
19.
Taleb, Hassen, Mohamed Limam, & Kaoru Hirota. (2006). Multivariate Fuzzy Multinomial Control Charts. Quality Technology & Quantitative Management. 3(4). 437–453. 23 indexed citations
20.

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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