Kamel Barkaoui

3.5k total citations · 1 hit paper
103 papers, 1.6k citations indexed

About

Kamel Barkaoui is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications and Management Information Systems. According to data from OpenAlex, Kamel Barkaoui has authored 103 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Computational Theory and Mathematics, 32 papers in Computer Networks and Communications and 32 papers in Management Information Systems. Recurrent topics in Kamel Barkaoui's work include Petri Nets in System Modeling (54 papers), Formal Methods in Verification (33 papers) and Business Process Modeling and Analysis (27 papers). Kamel Barkaoui is often cited by papers focused on Petri Nets in System Modeling (54 papers), Formal Methods in Verification (33 papers) and Business Process Modeling and Analysis (27 papers). Kamel Barkaoui collaborates with scholars based in France, Tunisia and China. Kamel Barkaoui's co-authors include Zhiwu Li, Yufeng Chen, Rateb Jabbar, Moez Krichen, Gaiyun Liu, Noora Fetais, Mohamed Kharbeche, Naiqi Wu, Khalifa N. Al‐Khalifa and MengChu Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Automatica and IEEE Access.

In The Last Decade

Kamel Barkaoui

93 papers receiving 1.5k 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.

Blockchain Technology for Intelligent Transportation Systems: A Systematic Literature Review

2022 120 citations Rateb Jabbar, Moez Krichen et al. IEEE Access profile →

Peers

Kamel Barkaoui

CTM

IME

IS

MIS

CNC

Armin Zimmermann Germany

Twan Basten Netherlands

Patrizio Pelliccione Italy

Lúıs Gomes Portugal

Zdeněk Hanzálek Czechia

Radu Călinescu United Kingdom

C. A. Petri Germany

G. Conte Italy

Miroslaw Malek United States

Wolfgang Reif Germany

Armin Zimmermann Germany

Kamel Barkaoui

328 ×0.4

CTM

187 ×0.3

IME

190 ×0.5

IS

177 ×0.4

MIS

354 ×1.2

CNC

Citations per year, relative to Kamel Barkaoui Kamel Barkaoui (= 1×) peers Armin Zimmermann

Countries citing papers authored by Kamel Barkaoui

Since Specialization

Citations

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

Fields of papers citing papers by Kamel Barkaoui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kamel Barkaoui

This figure shows the co-authorship network connecting the top 25 collaborators of Kamel Barkaoui. A scholar is included among the top collaborators of Kamel Barkaoui 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 Kamel Barkaoui. Kamel Barkaoui 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

1.

Belaoued, Mohamed, et al.. (2025). Exploring the Landscape of IoT Ransomware Prediction Through Machine Learning Techniques: A Comprehensive Survey. SN Computer Science. 6(3). 1 indexed citations

2.

Barkaoui, Kamel, et al.. (2024). DRL approach for online user-centric QoS-Aware SFC embedding with dynamic VNF placement. Computer Networks. 251. 110637–110637. 4 indexed citations

3.

Barkaoui, Kamel, et al.. (2024). Research in Computer Science. Communications in computer and information science.

4.

Barkaoui, Kamel, et al.. (2024). Production chain modeling based on learning flow stochastic petri nets. Soft Computing. 28(19). 10767–10779. 1 indexed citations

5.

Liu, Gaiyun, et al.. (2023). Adaptive supervisory control for a class of Petri nets with bimodal transitions. Information Sciences. 650. 119683–119683. 1 indexed citations

6.

Sliman, Layth, et al.. (2023). Demystifying Threshold Elliptic Curve Digital Signature Algorithm for MultiParty Applications. SPIRE - Sciences Po Institutional REpository. 112–121. 3 indexed citations

7.

Barkaoui, Kamel, et al.. (2023). FMS-Workflow Modeling Based on P-Timed Stochastic Petri Net. Journal of Software Engineering and Applications. 16(9). 443–482. 1 indexed citations

8.

Jabbar, Rateb, et al.. (2020). A Model-Based and Resource-Aware Testing Framework for Parking System Payment using Blockchain. HAL (Le Centre pour la Communication Scientifique Directe). 1252–1259. 10 indexed citations

9.

Jabbar, Rateb, et al.. (2020). Driver Drowsiness Detection Model Using Convolutional Neural Networks\n Techniques for Android Application. arXiv (Cornell University). 125 indexed citations

10.

Liu, Gaiyun, et al.. (2019). Elementary Siphon-Based Robust Control for Automated Manufacturing Systems With Multiple Unreliable Resources. IEEE Access. 7. 21006–21019. 26 indexed citations

11.

Barkaoui, Kamel, et al.. (2019). Performability modelling and analysis of server virtualised systems subject to workload-dependent software aging. HAL (Le Centre pour la Communication Scientifique Directe). 9(3). 248–248. 1 indexed citations

12.

Barkaoui, Kamel & Hanifa Boucheneb. (2018). Introduction to special issue on verification and evaluation of computer systems. Innovations in Systems and Software Engineering. 14(2). 81–82. 1 indexed citations

13.

Barkaoui, Kamel, et al.. (2017). Formal verification of complex business processes based on high-level Petri nets. Information Sciences. 385-386. 39–54. 44 indexed citations

14.

Daniel, Florian, Kamel Barkaoui, & Schahram Dustdar. (2012). Business Process Management Workshops. Lecture notes in business information processing. 26 indexed citations

15.

Barkaoui, Kamel, et al.. (2010). Mapping UML 2.0 Activities to Zero-Safe Nets. Journal of Software Engineering and Applications. 3(5). 426–435. 4 indexed citations

16.

Barkaoui, Kamel, et al.. (2010). A Tile Logic Based Approach for Software Architecture Description Analysis. Journal of Software Engineering and Applications. 3(11). 1067–1079. 3 indexed citations

17.

Barkaoui, Kamel & Imed Ben Abdallah. (2002). Modeling and performance evaluation of tool sharing management in FMS using stochastic Petri nets. 1. 282–288. 3 indexed citations

18.

Barkaoui, Kamel. (1996). On liveness and controled siphons in Petri nets. Lecture notes in computer science. 1091. 57–72. 74 indexed citations

19.

Barkaoui, Kamel. (1992). A polynomial-time graph algorithm to decide liveness of some basic classes of bounded Petri nets. Lecture notes in computer science. 616. 62–75. 4 indexed citations

20.

Minoux, Michel & Kamel Barkaoui. (1990). Deadlocks and traps in Petri nets as Horn-satisfiability solutions and some related polynomially solvable problems. Discrete Applied Mathematics. 29(2-3). 195–210. 15 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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