Paolo Sernani

1.2k total citations · 1 hit paper
47 papers, 686 citations indexed

About

Paolo Sernani is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Paolo Sernani has authored 47 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 6 papers in Computer Networks and Communications. Recurrent topics in Paolo Sernani's work include Context-Aware Activity Recognition Systems (11 papers), Multi-Agent Systems and Negotiation (5 papers) and Face recognition and analysis (4 papers). Paolo Sernani is often cited by papers focused on Context-Aware Activity Recognition Systems (11 papers), Multi-Agent Systems and Negotiation (5 papers) and Face recognition and analysis (4 papers). Paolo Sernani collaborates with scholars based in Italy, Switzerland and Netherlands. Paolo Sernani's co-authors include Aldo Franco Dragoni, Nicola Falcionelli, Davide Calvaresi, Selene Tomassini, Mauro Marinoni, Daniel Cesarini, Arnon Sturm, Laura Burattini, Emanuele Frontoni and Adriano Mancini and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Paolo Sernani

44 papers receiving 647 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.

On the Integration of Artificial Intelligence and Blockchain Technology: A Perspective About Security

2024 49 citations Paolo Sernani, Emanuele Frontoni et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Paolo Sernani Italy	13	285	238	137	91	60	47	686
Aldo Franco Dragoni Italy	16	326 1.1×	377 1.6×	174 1.3×	123 1.4×	75 1.3×	82	941
Orawit Thinnukool Thailand	17	109 0.4×	162 0.7×	152 1.1×	155 1.7×	93 1.6×	60	810
Davide Calvaresi Switzerland	17	154 0.5×	375 1.6×	167 1.2×	210 2.3×	21 0.3×	56	955
Aitor Almeida Spain	16	364 1.3×	167 0.7×	320 2.3×	116 1.3×	13 0.2×	69	938
Mario Drobics Austria	11	201 0.7×	114 0.5×	251 1.8×	115 1.3×	11 0.2×	29	721
Lubna A. Gabralla Saudi Arabia	17	172 0.6×	207 0.9×	59 0.4×	106 1.2×	71 1.2×	41	758
Susan McKeever Ireland	13	364 1.3×	220 0.9×	179 1.3×	110 1.2×	9 0.1×	52	848
Ryan Alturki Saudi Arabia	15	77 0.3×	196 0.8×	232 1.7×	158 1.7×	44 0.7×	69	716
Ghassan F. Issa Jordan	17	155 0.5×	313 1.3×	162 1.2×	208 2.3×	108 1.8×	54	1.1k
Eunju Kim South Korea	9	431 1.5×	202 0.8×	149 1.1×	55 0.6×	7 0.1×	50	752

Countries citing papers authored by Paolo Sernani

Since Specialization

Citations

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

Fields of papers citing papers by Paolo Sernani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paolo Sernani

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

All Works

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20 of 20 papers shown

Compagnucci, Lorenzo, et al.. (2025). A systematic literature review of business-to-business platforms for the digital transformation of the manufacturing industry: taking stock and advancing through research. Technovation. 148. 103330–103330.

Sernani, Paolo, et al.. (2025). Analyzing Digital Political Campaigning Through Machine Learning: An Exploratory Study for the Italian Campaign for European Union Parliament Election in 2024. Computers. 14(4). 126–126.

Sernani, Paolo, Selene Tomassini, Nicola Falcionelli, et al.. (2023). FRMDB: Face Recognition Using Multiple Points of View. Sensors. 23(4). 1939–1939. 5 indexed citations

Silenzi, Andrea, Selene Tomassini, Nicola Falcionelli, et al.. (2023). Quality Control of Carbon Look Components via Surface Defect Classification with Deep Neural Networks. Sensors. 23(17). 7607–7607. 5 indexed citations

Tomassini, Selene, et al.. (2023). Evaluating Deep Neural Networks for Face Recognition with Different Subsets of Mugshots From the Photo-Signaling Procedure. Institutional Research Information System (Università degli Studi di Trento). 543–548.

Tomassini, Selene, Nicola Falcionelli, Giulia Bruschi, et al.. (2023). On-cloud decision-support system for non-small cell lung cancer histology characterization from thorax computed tomography scans. Computerized Medical Imaging and Graphics. 110. 102310–102310. 9 indexed citations

Tomassini, Selene, Nicola Falcionelli, Paolo Sernani, Laura Burattini, & Aldo Franco Dragoni. (2022). Lung nodule diagnosis and cancer histology classification from computed tomography data by convolutional neural networks: A survey. Computers in Biology and Medicine. 146. 105691–105691. 40 indexed citations

Sernani, Paolo, et al.. (2021). Italian Sign Language Alphabet Recognition from Surface EMG and IMU Sensors with a Deep Neural Network.. Institutional Research Information System (Università degli Studi di Trento). 74–83. 5 indexed citations

Calvaresi, Davide, et al.. (2018). Timing Reliability for Local Schedulers in Multi-Agent Systems.. Università Politecnica delle Marche (Università Politecnica delle Marche). 1–15. 3 indexed citations

10.

Falcionelli, Nicola, Paolo Sernani, Davide Calvaresi, et al.. (2018). Indexing the Event Calculus: Towards practical human-readable Personal Health Systems. Artificial Intelligence in Medicine. 96. 154–166. 14 indexed citations

11.

Serral, Estefanía, Paolo Sernani, & Fabiano Dalpiaz. (2017). Personalized adaptation in pervasive systems via non-functional requirements. Journal of Ambient Intelligence and Humanized Computing. 9(6). 1729–1743. 8 indexed citations

12.

Calvaresi, Davide, et al.. (2016). Exploiting a Touchless Interaction to Drive a Wireless Mobile Robot Powered by a Real-time Operating System.. Università Politecnica delle Marche (Università Politecnica delle Marche). 1746. 1–10. 2 indexed citations

13.

Sernani, Paolo, et al.. (2016). A Touchless Human-machine Interface for the Control of an Elevator.. Università Politecnica delle Marche (Università Politecnica delle Marche). 1746. 58–65. 3 indexed citations

14.

Sernani, Paolo, et al.. (2015). Combining Artificial Intelligence and NetMedicine for Ambient Assisted Living. International Journal of E-Health and Medical Communications. 6(4). 62–76. 7 indexed citations

15.

Sernani, Paolo, et al.. (2014). Using 3D simulators for the Ambient Assisted Living. Università Politecnica delle Marche (Università Politecnica delle Marche). 16–20. 3 indexed citations

16.

Sernani, Paolo, et al.. (2013). Subject-dependent degrees of reliability to solve a face recognition problem using multiple neural networks. Università Politecnica delle Marche (Università Politecnica delle Marche). 11–14. 1 indexed citations

17.

Sernani, Paolo, et al.. (2013). A hierarchical hybrid model for intelligent cyber-physical systems. Università Politecnica delle Marche (Università Politecnica delle Marche). 1–6. 6 indexed citations

18.

Sernani, Paolo, et al.. (2013). Spyke3D: A new computer games oriented BDI Agent Framework. Università Politecnica delle Marche (Università Politecnica delle Marche). 49–53. 2 indexed citations

19.

Sernani, Paolo, et al.. (2013). A Multi-Agent Solution for the Interoperability Issue in Health Information Systems.. Università Politecnica delle Marche (Università Politecnica delle Marche). 24–29. 4 indexed citations

20.

Sernani, Paolo, et al.. (2013). Home Care Expert Systems for Ambient Assisted Living: A Multi-Agent Approach.. Università Politecnica delle Marche (Università Politecnica delle Marche). 11 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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