C. Randieri

952 total citations
17 papers, 146 citations indexed

About

C. Randieri is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, C. Randieri has authored 17 papers receiving a total of 146 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Computer Networks and Communications and 4 papers in Artificial Intelligence. Recurrent topics in C. Randieri's work include Smart Grid Security and Resilience (2 papers), Network Security and Intrusion Detection (2 papers) and Emotion and Mood Recognition (2 papers). C. Randieri is often cited by papers focused on Smart Grid Security and Resilience (2 papers), Network Security and Intrusion Detection (2 papers) and Emotion and Mood Recognition (2 papers). C. Randieri collaborates with scholars based in Italy, Poland and India. C. Randieri's co-authors include G. Nunnari, Christian Napoli, Anna Maria Sacco, Salvatore Campisi‐Pinto, A. Perrotta, M. V. Polyakov, M. L. Sperduto, C. Sutera, A. Kim and G. Russo and has published in prestigious journals such as Sensors, Ecological Modelling and Frontiers in Neuroscience.

In The Last Decade

C. Randieri

14 papers receiving 138 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Randieri Italy 6 66 25 23 22 16 17 146
Ondřej Tichý Czechia 9 35 0.5× 17 0.7× 59 2.6× 3 0.1× 10 0.6× 20 248
M. T. Lieberman United States 7 21 0.3× 34 1.4× 2 0.1× 30 1.4× 8 0.5× 14 216
L. Han China 7 11 0.2× 27 1.1× 6 0.3× 45 2.0× 8 0.5× 11 231
H. L. Snoek Switzerland 3 16 0.2× 4 0.2× 4 0.2× 9 0.4× 9 0.6× 8 147
Xinwei Li China 11 39 0.6× 72 2.9× 19 0.8× 3 0.1× 3 0.2× 32 429
R. F. Koopman Netherlands 2 16 0.2× 4 0.2× 4 0.2× 101 4.6× 9 0.6× 2 237
Ling Gao China 10 6 0.1× 4 0.2× 38 1.7× 10 0.5× 26 1.6× 24 315
Devendra Jalihal India 8 64 1.0× 34 1.4× 8 0.3× 5 0.3× 55 272

Countries citing papers authored by C. Randieri

Since Specialization
Citations

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

Fields of papers citing papers by C. Randieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Randieri

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

All Works

17 of 17 papers shown
1.
Zimatore, Giovanna, et al.. (2025). HRV in Stress Monitoring by AI: A Scoping Review. Applied Sciences. 16(1). 23–23.
2.
Randieri, C., et al.. (2025). CNN-Based Framework for Classifying COVID-19, Pneumonia, and Normal Chest X-Rays. Big Data and Cognitive Computing. 9(7). 186–186. 5 indexed citations
3.
4.
Napoli, Christian, et al.. (2025). Current trends and future directions in eye tracking technology: A literature review. Engineering Applications of Artificial Intelligence. 163. 112908–112908.
5.
Randieri, C., et al.. (2025). Smart Glove: A Cost-Effective and Intuitive Interface for Advanced Drone Control. Drones. 9(2). 109–109. 3 indexed citations
6.
7.
Randieri, C., et al.. (2025). Exploiting facial emotion recognition system for ambient assisted living technologies triggered by interpreting the user's emotional state. Frontiers in Neuroscience. 19. 1622194–1622194. 2 indexed citations
8.
9.
Kuznetsov, Alexandr, et al.. (2025). Dataset Dependency in CNN-Based Copy-Move Forgery Detection: A Multi-Dataset Comparative Analysis. Machine Learning and Knowledge Extraction. 7(2). 54–54. 5 indexed citations
12.
Napoli, Christian, et al.. (2025). DPIBP: Dining Philosophers Problem-Inspired Binary Patterns for Facial Expression Recognition. Technologies. 13(9). 420–420. 1 indexed citations
13.
Campisi‐Pinto, Salvatore, et al.. (2023). Semi-Autonomic AI LF-NMR Sensor for Industrial Prediction of Edible Oil Oxidation Status. Sensors. 23(4). 2125–2125. 8 indexed citations
14.
Kuznetsov, V., M. V. Polyakov, Vincenzo Bellini, et al.. (2011). Evidence for a narrowN*(1685) resonance in quasifree Compton scattering on the neutron. Physical Review C. 83(2). 20 indexed citations
15.
Tuvé, C., Vincenzo Bellini, R. Potenza, et al.. (2003). Carrier dynamics in CVD diamond: electron and hole contributions. Diamond and Related Materials. 12(3-7). 499–502. 2 indexed citations
16.
Nunnari, G., et al.. (2002). A cellular neural network based system for cell counting in culture of biological cells. 1. 341–345. 8 indexed citations
17.
Nunnari, G., et al.. (1998). The application of neural techniques to the modelling of time-series of atmospheric pollution data. Ecological Modelling. 111(2-3). 187–205. 78 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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