Paolo Ciampolini

83 total papers · 1.3k total citations
48 papers, 816 citations indexed

About

Paolo Ciampolini is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Paolo Ciampolini has authored 48 papers receiving a total of 816 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 18 papers in Biomedical Engineering and 13 papers in Electrical and Electronic Engineering. Recurrent topics in Paolo Ciampolini's work include Context-Aware Activity Recognition Systems (24 papers), Non-Invasive Vital Sign Monitoring (15 papers) and ECG Monitoring and Analysis (9 papers). Paolo Ciampolini is often cited by papers focused on Context-Aware Activity Recognition Systems (24 papers), Non-Invasive Vital Sign Monitoring (15 papers) and ECG Monitoring and Analysis (9 papers). Paolo Ciampolini collaborates with scholars based in Italy and Switzerland. Paolo Ciampolini's co-authors include Ilaria De Munari, Valentina Bianchi, Guido Matrella, Stefano Cagnoni, Monica Mordonini, Marco Bassoli, Minh Long Hoang, Enrico Montanari, José del R. Millán and Rui Hu and has published in prestigious journals such as Sensors, Sensors and Actuators A Physical and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

Paolo Ciampolini

46 papers receiving 790 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Paolo Ciampolini	289	263	209	173	114	48	816
Claudia Villalonga	189 0.7×	217 0.8×	328 1.6×	267 1.5×	24 0.2×	26	1.0k
Josef Hallberg	172 0.6×	170 0.6×	435 2.1×	218 1.3×	57 0.5×	47	920
Prabha Sundaravadivel	236 0.8×	155 0.6×	145 0.7×	195 1.1×	33 0.3×	58	802
Kåre Synnes	188 0.7×	156 0.6×	413 2.0×	268 1.5×	41 0.4×	56	898
Yoshifumi Nishida	291 1.0×	185 0.7×	331 1.6×	277 1.6×	26 0.2×	73	890
Aftab Khan	268 0.9×	144 0.5×	232 1.1×	209 1.2×	10 0.1×	50	863
Parastoo Alinia	106 0.4×	317 1.2×	276 1.3×	231 1.3×	18 0.2×	15	853
Valentina Bianchi	462 1.6×	265 1.0×	326 1.6×	269 1.6×	8 0.1×	53	1.0k
Xu Huang	145 0.5×	132 0.5×	166 0.8×	88 0.5×	8 0.1×	79	802
Xiao-Hua Yu	82 0.3×	140 0.5×	212 1.0×	61 0.4×	12 0.1×	71	872

Countries citing papers authored by Paolo Ciampolini

Since Specialization

Citations

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

Fields of papers citing papers by Paolo Ciampolini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paolo Ciampolini

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

All Works

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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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