Nicola Bicocchi

969 total citations
52 papers, 595 citations indexed

About

Nicola Bicocchi is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Mechanical Engineering. According to data from OpenAlex, Nicola Bicocchi has authored 52 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Networks and Communications, 19 papers in Computer Vision and Pattern Recognition and 10 papers in Mechanical Engineering. Recurrent topics in Nicola Bicocchi's work include Context-Aware Activity Recognition Systems (19 papers), Modular Robots and Swarm Intelligence (9 papers) and Digital Transformation in Industry (9 papers). Nicola Bicocchi is often cited by papers focused on Context-Aware Activity Recognition Systems (19 papers), Modular Robots and Swarm Intelligence (9 papers) and Digital Transformation in Industry (9 papers). Nicola Bicocchi collaborates with scholars based in Italy, United Kingdom and Germany. Nicola Bicocchi's co-authors include Marco Mamei, Franco Zambonelli, Giacomo Cabri, Massimo Mecella, Carlo Giannelli, Federica Mandreoli, Marco Picone, Gabriella Castelli, Paolo Bellavista and Alberto Rosi and has published in prestigious journals such as Sensors, IEEE Transactions on Intelligent Transportation Systems and Géotechnique.

In The Last Decade

Nicola Bicocchi

47 papers receiving 578 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicola Bicocchi Italy 14 163 143 113 105 98 52 595
Ruiyun Yu China 17 208 1.3× 292 2.0× 77 0.7× 122 1.2× 135 1.4× 68 1.0k
Vincent Hilaire France 14 105 0.6× 260 1.8× 83 0.7× 40 0.4× 116 1.2× 72 714
Nicolas Gaud France 13 86 0.5× 186 1.3× 200 1.8× 59 0.6× 88 0.9× 58 664
Nafaâ Jabeur Oman 16 228 1.4× 137 1.0× 67 0.6× 42 0.4× 105 1.1× 66 690
Bin Cao China 11 103 0.6× 218 1.5× 52 0.5× 79 0.8× 213 2.2× 76 610
Yi Ding China 14 85 0.5× 73 0.5× 58 0.5× 58 0.6× 35 0.4× 54 505
Susanna Pirttikangas Finland 13 177 1.1× 135 0.9× 74 0.7× 81 0.8× 167 1.7× 71 607
Ajay Vikram Singh India 14 224 1.4× 85 0.6× 110 1.0× 82 0.8× 145 1.5× 74 615
Xiang Su China 9 213 1.3× 109 0.8× 85 0.8× 99 0.9× 123 1.3× 27 650

Countries citing papers authored by Nicola Bicocchi

Since Specialization
Citations

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

Fields of papers citing papers by Nicola Bicocchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicola Bicocchi

This figure shows the co-authorship network connecting the top 25 collaborators of Nicola Bicocchi. A scholar is included among the top collaborators of Nicola Bicocchi 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 Nicola Bicocchi. Nicola Bicocchi 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.
Bicocchi, Nicola, et al.. (2025). On-device AI and digital twins: A synergistic approach to intelligent cyber-physical systems. Future Generation Computer Systems. 175. 108068–108068.
2.
Bellavista, Paolo, et al.. (2024). Exploiting microservices and serverless for Digital Twins in the cloud-to-edge continuum. Future Generation Computer Systems. 157. 275–287. 11 indexed citations
3.
Bellavista, Paolo, et al.. (2024). An Entanglement-Aware Middleware for Digital Twins. Institutional Research Information System University of Ferrara (University of Ferrara). 5(4). 1–25. 3 indexed citations
4.
Bellavista, Paolo, et al.. (2024). ODTE: A Metric for Digital Twin Entanglement. IEEE Open Journal of the Communications Society. 5. 2377–2390. 5 indexed citations
5.
Bicocchi, Nicola, et al.. (2024). Towards a Distributed Data Mesh Model for the IoT-Edge-Cloud Continuum in Smart Cities. IRIS UNIMORE (University of Modena and Reggio Emilia). 383–388.
6.
Bicocchi, Nicola, et al.. (2023). Proxemic Behaviors During Gay/Straight Interactions: An Automated Analysis Through Kinect Depth-Sensing Camera. The Journal of Sex Research. 61(6). 955–967.
7.
Bellavista, Paolo, et al.. (2023). Requirements and design patterns for adaptive, autonomous, and context-aware digital twins in industry 4.0 digital factories. Computers in Industry. 149. 103918–103918. 48 indexed citations
8.
Bicocchi, Nicola, et al.. (2019). A Survey of the Use of Software Agents in Digital Factories. IRIS UNIMORE (University of Modena and Reggio Emilia). 51. 3–8. 1 indexed citations
9.
Mamei, Marco, Nicola Bicocchi, Marco Lippi, Stefano Mariani, & Franco Zambonelli. (2019). Evaluating Origin–Destination Matrices Obtained from CDR Data. Sensors. 19(20). 4470–4470. 32 indexed citations
10.
Palazzi, Andrea, Simone Calderara, Nicola Bicocchi, et al.. (2016). Spotting prejudice with nonverbal behaviours. IRIS UNIMORE (University of Modena and Reggio Emilia). 10. 853–862. 4 indexed citations
11.
Bicocchi, Nicola, et al.. (2014). A self-aware, reconfigurable architecture for context awareness. IRIS UNIMORE (University of Modena and Reggio Emilia). 6967. 1–7. 5 indexed citations
12.
Bicocchi, Nicola, et al.. (2014). Improving Activity Recognition via Satellite Imagery and Commonsense Knowledge. IRIS UNIMORE (University of Modena and Reggio Emilia). 183–187. 1 indexed citations
13.
Bicocchi, Nicola & Marco Mamei. (2014). Investigating ride sharing opportunities through mobility data analysis. Pervasive and Mobile Computing. 14. 83–94. 49 indexed citations
14.
Bicocchi, Nicola, et al.. (2012). Experiences on sensor fusion with commonsense reasoning. IRIS UNIMORE (University of Modena and Reggio Emilia). 30. 596–601. 2 indexed citations
15.
Bicocchi, Nicola, Marco Mamei, & Franco Zambonelli. (2012). Self-organizing virtual macro sensors. ACM Transactions on Autonomous and Adaptive Systems. 7(1). 1–28. 16 indexed citations
16.
Bicocchi, Nicola, Marco Mamei, & Franco Zambonelli. (2010). Handling dynamics in diffusive aggregation schemes: An evaporative approach. Future Generation Computer Systems. 26(6). 877–889. 7 indexed citations
17.
Bicocchi, Nicola, Marco Mamei, & Franco Zambonelli. (2010). Detecting activities from body-worn accelerometers via instance-based algorithms. Pervasive and Mobile Computing. 6(4). 482–495. 36 indexed citations
18.
Kotsis, Gabriele, Marco Mamei, Nicola Bicocchi, et al.. (2007). CoMA Workshop Final Report. 51–55. 2 indexed citations
19.
Bicocchi, Nicola, Marco Mamei, & Franco Zambonelli. (2007). Self-Organizing Spatial Regions for Sensor Network Infrastructures. IRIS UNIMORE (University of Modena and Reggio Emilia). 66–71. 10 indexed citations
20.
Baumgarten, Matthias, Nicola Bicocchi, Kevin Curran, et al.. (2006). Towards Self-Organizing Knowledge Networks for Smart World Infrastructures. IRIS UNIMORE (University of Modena and Reggio Emilia). 2(2). 123–134. 12 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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