Sourour Ammar

622 total citations · 1 hit paper
13 papers, 417 citations indexed

About

Sourour Ammar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Industrial and Manufacturing Engineering. According to data from OpenAlex, Sourour Ammar has authored 13 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 2 papers in Industrial and Manufacturing Engineering. Recurrent topics in Sourour Ammar's work include Video Surveillance and Tracking Methods (4 papers), Handwritten Text Recognition Techniques (3 papers) and Human Pose and Action Recognition (3 papers). Sourour Ammar is often cited by papers focused on Video Surveillance and Tracking Methods (4 papers), Handwritten Text Recognition Techniques (3 papers) and Human Pose and Action Recognition (3 papers). Sourour Ammar collaborates with scholars based in Tunisia, France and Sweden. Sourour Ammar's co-authors include Yousri Kessentini, Khan Muhammad, I. Féki, Ridha Abdelhèdi, Sourour Chaâbane Elaoud, Youssef Samet, Mohamed Jmaïel, Mehmet A. Oturan, Maliha Asma and Nihal Oturan and has published in prestigious journals such as Journal of Hazardous Materials, Expert Systems with Applications and Pattern Recognition.

In The Last Decade

Sourour Ammar

11 papers receiving 400 citations

Hit Papers

align trajectories

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.

Federated learning for COVID-19 screening from Chest X-ray images

2021 177 citations I. Féki, Sourour Ammar et al. Applied Soft Computing profile →

Peers

Countries citing papers authored by Sourour Ammar

Since Specialization

Citations

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

Fields of papers citing papers by Sourour Ammar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sourour Ammar

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

All Works

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13 of 13 papers shown

#	Work	Indexed citations
1	ST-KeyS: Self-supervised Transformer for Keyword Spotting in historical handwritten documents 2025 ·Pattern Recognition ·(unknown), Sourour Ammar, (unknown), Yousri Kessentini, Abbas Cheddad	0
2	CNN-Trans: A Two-Branch CNN Transformer Model for Multivariate Time Series Classification 2025 ·(unknown), Sourour Ammar, (unknown)	1
3	COVID-19 pandemic’s effect on the mental health among the Tunisian general population: Associated factors mining via machine learning 2023 ·Scientific African ·(unknown), Sourour Ammar, (unknown), (unknown), (unknown)	0
4	PCMCR: A Novel Conflict Resolution Strategy based on Possibility Theory for Human Activity Recognition 2022 ·Procedia Computer Science ·(unknown), (unknown), Sourour Ammar, (unknown)	1
5	Masking for better discovery: Weakly supervised complementary body regions mining for person re-identification 2022 ·Expert Systems with Applications ·(unknown), Sourour Ammar, Yousri Kessentini, Mohamed Jmaïel	15
6	Possibilistic rank-level fusion method for person re-identification 2021 ·Neural Computing and Applications ·(unknown), Sourour Ammar, (unknown)	3
7	Federated learning for COVID-19 screening from Chest X-ray images breakdown → 2021 ·Applied Soft Computing ·I. Féki, Sourour Ammar, Yousri Kessentini, Khan Muhammad	177
8	Domain and writer adaptation of offline Arabic handwriting recognition using deep neural networks 2021 ·Neural Computing and Applications ·(unknown), Sourour Ammar, Yousri Kessentini	9
9	Re-ranking Person Re-identification using Attributes Learning 2021 ·Neural Computing and Applications ·(unknown), Sourour Ammar, Yousri Kessentini	10
10	A two-stage deep neural network for multi-norm license plate detection and recognition 2019 ·Expert Systems with Applications ·Yousri Kessentini, (unknown), Sourour Ammar, (unknown)	81
11	Improving Person Re-Identification by Combining Siamese Convolutional Neural Network and Re-Ranking Process 2019 ·(unknown), Sourour Ammar, Yousri Kessentini	4
12	Electrochemical Degradation of Anthraquinone Dye Alizarin Red: Role of the Electrode Material 2012 ·Current Organic Chemistry ·Sourour Ammar, Maliha Asma, Nihal Oturan, Ridha Abdelhèdi, Mehmet A. Oturan	17
13	Electrochemical degradation of 4-chloroguaiacol for wastewater treatment using PbO2 anodes 2006 ·Journal of Hazardous Materials ·Youssef Samet, Sourour Chaâbane Elaoud, Sourour Ammar, Ridha Abdelhèdi	99

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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