Francesco Paci

618 total citations
9 papers, 199 citations indexed

About

Francesco Paci is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Astronomy and Astrophysics. According to data from OpenAlex, Francesco Paci has authored 9 papers receiving a total of 199 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Computer Networks and Communications and 2 papers in Astronomy and Astrophysics. Recurrent topics in Francesco Paci's work include Cosmology and Gravitation Theories (2 papers), Video Surveillance and Tracking Methods (2 papers) and Human Pose and Action Recognition (2 papers). Francesco Paci is often cited by papers focused on Cosmology and Gravitation Theories (2 papers), Video Surveillance and Tracking Methods (2 papers) and Human Pose and Action Recognition (2 papers). Francesco Paci collaborates with scholars based in Italy, Switzerland and Russia. Francesco Paci's co-authors include Luca Benini, Lorenzo Baraldi, F. Finelli⋆, Rita Cucchiara, Giuseppe Serra, D. Paoletti, Davide Brunelli, Manuele Rusci, A. Gruppuso and Alexei A. Starobinsky and has published in prestigious journals such as IEEE Internet of Things Journal, IEEE Sensors Journal and Journal of Cosmology and Astroparticle Physics.

In The Last Decade

Francesco Paci

8 papers receiving 194 citations

Peers

Francesco Paci

CVPR

HI

AA

NHEP

CN

G. Baltus Netherlands

Etienne Pérot France

R. Cancelliere Italy

Se-Jin Oh South Korea

Nicola Montecchio Italy

Brendan Shillingford United Kingdom

M. Schenkel Switzerland

Etienne Marcheret United States

Simon Welker Germany

Hideo Fukamachi Japan

G. Baltus Netherlands

Francesco Paci

73 ×0.9

CVPR

25 ×0.3

HI

32 ×0.5

AA

4 ×0.1

NHEP

15 ×0.8

CN

Citations per year, relative to Francesco Paci Francesco Paci (= 1×) peers G. Baltus

Countries citing papers authored by Francesco Paci

Since Specialization

Citations

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

Fields of papers citing papers by Francesco Paci

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Paci

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Rusci, Manuele, et al.. (2024). Self-Learning for Personalized Keyword Spotting on Ultralow-Power Audio Sensors. IEEE Internet of Things Journal. 12(8). 10210–10221.

2.

Pierdicca, Roberto, Eva Savina Malinverni, Francesco Di Stefano, et al.. (2021). Underground heritage valorization of camerano's cave in center italy a case of transition towards projects integrating the local community and landscape . Università Politecnica delle Marche (Università Politecnica delle Marche). 2 indexed citations

3.

Rusci, Manuele, et al.. (2021). Low-Power License Plate Detection and Recognition on a RISC-V Multi-Core MCU-Based Vision System. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–5. 10 indexed citations

4.

Paci, Francesco, Davide Brunelli, & Luca Benini. (2018). Lightweight IO virtualization on MPU enabled microcontrollers. ACM SIGBED Review. 15(1). 50–56. 7 indexed citations

5.

Baraldi, Lorenzo, Francesco Paci, Giuseppe Serra, Luca Benini, & Rita Cucchiara. (2015). Gesture Recognition using Wearable Vision Sensors to Enhance Visitors' Museum Experiences. IEEE Sensors Journal. 1–1. 35 indexed citations

6.

Paci, Francesco, Davide Brunelli, & Luca Benini. (2014). 0, 1, 2, many — A classroom occupancy monitoring system for smart public buildings. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–6. 11 indexed citations

7.

Baraldi, Lorenzo, Francesco Paci, Giuseppe Serra, Luca Benini, & Rita Cucchiara. (2014). Gesture Recognition in Ego-centric Videos Using Dense Trajectories and Hand Segmentation. Institutional Research Information System (University of Udine). 702–707. 69 indexed citations

8.

Finelli⋆, F., A. Gruppuso, Francesco Paci, & Alexei A. Starobinsky. (2012). Searching for hidden mirror symmetries in CMB fluctuations from WMAP 7 year maps. Journal of Cosmology and Astroparticle Physics. 2012(7). 49–49. 8 indexed citations

9.

Finelli⋆, F., Francesco Paci, & D. Paoletti. (2008). Impact of stochastic primordial magnetic fields on the scalar contribution to cosmic microwave background anisotropies. Physical review. D. Particles, fields, gravitation, and cosmology. 78(2). 57 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.

Explore authors with similar magnitude of impact