Giuseppe Grassi

5.2k total citations
214 papers, 3.7k citations indexed

About

Giuseppe Grassi is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Modeling and Simulation. According to data from OpenAlex, Giuseppe Grassi has authored 214 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 147 papers in Statistical and Nonlinear Physics, 117 papers in Computer Networks and Communications and 48 papers in Modeling and Simulation. Recurrent topics in Giuseppe Grassi's work include Chaos control and synchronization (135 papers), Nonlinear Dynamics and Pattern Formation (87 papers) and Fractional Differential Equations Solutions (48 papers). Giuseppe Grassi is often cited by papers focused on Chaos control and synchronization (135 papers), Nonlinear Dynamics and Pattern Formation (87 papers) and Fractional Differential Equations Solutions (48 papers). Giuseppe Grassi collaborates with scholars based in Italy, Algeria and Vietnam. Giuseppe Grassi's co-authors include Donato Cafagna, Saverio Mascolo, Adel Ouannas, D.A. Miller, Amina–Aicha Khennaoui, Viet–Thanh Pham, M. Brucoli, Leonarda Carnimeo, Iqbal M. Batiha and Samir Bendoukha and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Journal of the Franklin Institute.

In The Last Decade

Giuseppe Grassi

199 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giuseppe Grassi Italy 32 2.7k 1.9k 766 747 537 214 3.7k
Zhouchao Wei China 33 3.2k 1.2× 2.1k 1.1× 337 0.4× 526 0.7× 320 0.6× 135 4.0k
Viet–Thanh Pham Vietnam 45 4.2k 1.6× 2.6k 1.4× 328 0.4× 998 1.3× 463 0.9× 164 4.9k
Viet–Thanh Pham Vietnam 32 2.4k 0.9× 1.4k 0.7× 424 0.6× 540 0.7× 306 0.6× 125 2.9k
Adel Ouannas Algeria 29 1.9k 0.7× 1.2k 0.6× 1.0k 1.3× 430 0.6× 303 0.6× 220 2.9k
Shaobo He China 39 3.6k 1.3× 1.5k 0.8× 920 1.2× 1.6k 2.2× 757 1.4× 180 5.5k
Akif Akgül Türkiye 33 2.6k 1.0× 1.3k 0.7× 232 0.3× 1.2k 1.6× 541 1.0× 134 3.4k
Christos Volos Greece 46 5.0k 1.9× 2.9k 1.5× 308 0.4× 1.7k 2.3× 753 1.4× 278 6.4k
Tetsushi Ueta Japan 17 2.8k 1.0× 1.8k 1.0× 193 0.3× 521 0.7× 332 0.6× 108 3.4k
Jesús M. Muñoz‐Pacheco Mexico 28 1.5k 0.5× 849 0.4× 284 0.4× 511 0.7× 372 0.7× 103 2.2k
Ranchao Wu China 32 1.6k 0.6× 1.9k 1.0× 1.0k 1.3× 205 0.3× 674 1.3× 172 3.6k

Countries citing papers authored by Giuseppe Grassi

Since Specialization
Citations

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

Fields of papers citing papers by Giuseppe Grassi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giuseppe Grassi

This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppe Grassi. A scholar is included among the top collaborators of Giuseppe Grassi 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 Giuseppe Grassi. Giuseppe Grassi 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.
Momani, Shaher, et al.. (2025). On chaos in fractional discrete financial risk model and its control approaches. Asian Journal of Control. 28(1). 388–402. 1 indexed citations
2.
Tamba, Victor Kamdoum, et al.. (2025). Fractional-order bi-Hopfield neuron coupled via a multistable memristor: Complex neuronal dynamic analysis and implementation with microcontroller. AEU - International Journal of Electronics and Communications. 191. 155661–155661. 6 indexed citations
3.
Pham, Viet–Thanh, et al.. (2025). A reliable color image encryption scheme based on a novel dual-wing hyperchaotic map. Expert Systems with Applications. 289. 128237–128237. 5 indexed citations
4.
Masi, Sabrina Di, et al.. (2025). A Comprehensive Hardware Platform Leveraging Impedimetric nanoMIP Sensors for Fast Evaluation of Trypsin in Artificial Saliva. IEEE Transactions on Instrumentation and Measurement. 74. 1–12. 1 indexed citations
5.
Alomari, Saleh Ali, et al.. (2024). Fractional discrete neural networks with variable order: solvability, finite time stability and synchronization. The European Physical Journal Special Topics. 234(9). 2761–2774. 3 indexed citations
6.
Tamba, Victor Kamdoum, et al.. (2024). Oscillator without equilibrium and linear terms: Dynamics and application. Alexandria Engineering Journal. 97. 376–384. 5 indexed citations
7.
Grassi, Giuseppe, et al.. (2024). A New COVID 19 model using fractional calculus: stability, mitigate pandemic and simulations. IFAC-PapersOnLine. 58(12). 49–54.
8.
Šolić, Petar, Riccardo Colella, Giuseppe Grassi, et al.. (2024). Circuit Design, Realization, and Test of a Bluetooth Low Energy Wireless Sensor With On-Board Computation for Remote Healthcare Monitoring. IEEE Journal of Radio Frequency Identification. 8. 105–113. 3 indexed citations
9.
Colella, Riccardo, Luca Catarinucci, & Giuseppe Grassi. (2024). Battery‐less RF‐powered circuits for non‐contact voltage monitoring of electric systems: Circuit modeling and SPICE analysis. International Journal of Circuit Theory and Applications. 53(2). 840–860. 2 indexed citations
11.
Almatroud, A. Othman, Giuseppe Grassi, Amina–Aicha Khennaoui, et al.. (2024). A novel fractional memristor-based Grassi-Miller map: Hyperchaotic behavior and coexistence of attractors. Alexandria Engineering Journal. 93. 1–6. 8 indexed citations
12.
Pham, Viet–Thanh, Andrei Velichko, Van Van Huynh, et al.. (2023). Analysis of memristive maps with asymmetry. Integration. 94. 102110–102110. 8 indexed citations
13.
Khennaoui, Amina–Aicha, et al.. (2022). A New Fractional‐Order Map with Infinite Number of Equilibria and Its Encryption Application. Complexity. 2022(1). 7 indexed citations
14.
Khennaoui, Amina–Aicha, A. Othman Almatroud, Adel Ouannas, et al.. (2021). An Unprecedented 2-Dimensional Discrete-Time Fractional-Order System and Its Hidden Chaotic Attractors. Mathematical Problems in Engineering. 2021. 1–10. 20 indexed citations
15.
Ouannas, Adel, Iqbal M. Batiha, Giuseppe Grassi, et al.. (2021). Chaotic Behavior Analysis of a New Incommensurate Fractional‐Order Hopfield Neural Network System. Complexity. 2021(1). 21 indexed citations
16.
Ouannas, Adel, Amina–Aicha Khennaoui, Taki-Eddine Oussaeif, et al.. (2021). Hyperchaotic fractional Grassi–Miller map and its hardware implementation. Integration. 80. 13–19. 16 indexed citations
17.
Tamba, Victor Kamdoum, et al.. (2021). Symmetric Oscillator: Special Features, Realization, and Combination Synchronization. Symmetry. 13(11). 2142–2142.
18.
Ouannas, Adel, et al.. (2020). Fractional Grassi–Miller Map Based on the Caputo h-Difference Operator: Linear Methods for Chaos Control and Synchronization. Discrete Dynamics in Nature and Society. 2020. 1–10. 5 indexed citations
19.
Ouannas, Adel, et al.. (2020). On Two-Dimensional Fractional Chaotic Maps with Symmetries. Symmetry. 12(5). 756–756. 24 indexed citations
20.
Grassi, Giuseppe, et al.. (2010). Storia della lingua italiana.

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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