Luca Ciampi

422 total citations
20 papers, 219 citations indexed

About

Luca Ciampi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Automotive Engineering. According to data from OpenAlex, Luca Ciampi has authored 20 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 3 papers in Automotive Engineering. Recurrent topics in Luca Ciampi's work include Video Surveillance and Tracking Methods (9 papers), Anomaly Detection Techniques and Applications (4 papers) and Smart Parking Systems Research (3 papers). Luca Ciampi is often cited by papers focused on Video Surveillance and Tracking Methods (9 papers), Anomaly Detection Techniques and Applications (4 papers) and Smart Parking Systems Research (3 papers). Luca Ciampi collaborates with scholars based in Italy, Portugal and Poland. Luca Ciampi's co-authors include Giuseppe Amato, Claudio Gennaro, Fabrizio Falchi, Fabio Carrara, Claudio Vairo, Leonardo Lupori, Nicola Messina, Tommaso Pizzorusso, Carlos Santiago and Raffaele Mazziotti and has published in prestigious journals such as Expert Systems with Applications, Sensors and Cell Reports.

In The Last Decade

Luca Ciampi

18 papers receiving 215 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luca Ciampi Italy 11 101 59 25 24 16 20 219
P. Mahalakshmi India 14 47 0.5× 75 1.3× 9 0.4× 19 0.8× 19 1.2× 75 531
Dani Martínez Spain 11 72 0.7× 20 0.3× 11 0.4× 15 0.6× 12 0.8× 23 464
Hamed Taheri Gorji United States 12 57 0.6× 83 1.4× 5 0.2× 4 0.2× 18 1.1× 29 413
G. Hartmann Germany 8 89 0.9× 72 1.2× 3 0.1× 24 1.0× 13 0.8× 26 332
Dongxu Yang China 10 70 0.7× 27 0.5× 7 0.3× 3 0.1× 33 2.1× 26 298
Gonzalo Tejera Uruguay 9 61 0.6× 32 0.5× 2 0.1× 23 1.0× 15 0.9× 33 308
Hidekazu Fukai Japan 8 38 0.4× 42 0.7× 23 0.9× 21 0.9× 21 1.3× 17 345
Ferran Diego Spain 11 131 1.3× 54 0.9× 10 0.4× 13 0.5× 44 2.8× 23 272
Indra Adji Sulistijono Indonesia 11 124 1.2× 52 0.9× 3 0.1× 11 0.5× 19 1.2× 54 498
John Collins Ireland 10 67 0.7× 75 1.3× 6 0.2× 4 0.2× 30 1.9× 32 364

Countries citing papers authored by Luca Ciampi

Since Specialization
Citations

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

Fields of papers citing papers by Luca Ciampi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Ciampi

This figure shows the co-authorship network connecting the top 25 collaborators of Luca Ciampi. A scholar is included among the top collaborators of Luca Ciampi 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 Luca Ciampi. Luca Ciampi 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.
Ciampi, Luca, et al.. (2026). A survey on class-agnostic counting: Advancements from reference-based to open-world text-guided approaches. Computer Vision and Image Understanding. 267. 104703–104703.
2.
Ciampi, Luca, et al.. (2025). Mind the Prompt: A Novel Benchmark for Prompt-Based Class-Agnostic Counting. CINECA IRIS Institutial research information system (University of Pisa). 7970–7979.
3.
Ciampi, Luca, Carlos Santiago, Fabrizio Falchi, Claudio Gennaro, & Giuseppe Amato. (2024). In the Wild Video Violence Detection: An Unsupervised Domain Adaptation Approach. SN Computer Science. 5(7). 1 indexed citations
4.
Carlini, Emanuele, et al.. (2024). Teacher-Student Models for AI Vision at the Edge: A Car Parking Case Study. ISTI Open Portal. 508–515. 3 indexed citations
5.
Pieracci, Ylenia, Roberta Ascrizzi, Basma Najar, et al.. (2023). Chemical Composition and Antimicrobial Activity against the Listeria monocytogenes of Essential Oils from Seven Salvia Species. Foods. 12(23). 4235–4235. 10 indexed citations
6.
Lupori, Leonardo, Luca Ciampi, Fabio Carrara, et al.. (2023). A comprehensive atlas of perineuronal net distribution and colocalization with parvalbumin in the adult mouse brain. Cell Reports. 42(7). 112788–112788. 41 indexed citations
7.
Ciampi, Luca, Valeria Zeni, Luca Incrocci, et al.. (2023). A deep learning-based pipeline for whitefly pest abundance estimation on chromotropic sticky traps. Ecological Informatics. 78. 102384–102384. 11 indexed citations
8.
Szczęsna, Agnieszka, et al.. (2023). Development of a Realistic Crowd Simulation Environment for Fine-Grained Validation of People Tracking Methods. arXiv (Cornell University). 222–229. 3 indexed citations
9.
Szczęsna, Agnieszka, et al.. (2023). CrowdSim2: An Open Synthetic Benchmark for Object Detectors. arXiv (Cornell University). 676–683. 6 indexed citations
10.
Ciampi, Luca, et al.. (2023). Unsupervised Domain Adaptation for Video Violence Detection in the Wild. ISTI Open Portal. 5 indexed citations
11.
Ciampi, Luca, Nicola Messina, Claudio Gennaro, et al.. (2022). Bus Violence: An Open Benchmark for Video Violence Detection on Public Transport. Sensors. 22(21). 8345–8345. 17 indexed citations
12.
Ciampi, Luca, Fabio Carrara, Raffaele Mazziotti, et al.. (2022). Learning to count biological structures with raters’ uncertainty. Medical Image Analysis. 80. 102500–102500. 13 indexed citations
13.
Ciampi, Luca, Claudio Gennaro, Fabio Carrara, et al.. (2022). Multi-camera vehicle counting using edge-AI. Expert Systems with Applications. 207. 117929–117929. 18 indexed citations
14.
Benedetto, Marco Di, Fabio Carrara, Luca Ciampi, et al.. (2022). An embedded toolset for human activity monitoring in critical environments. Expert Systems with Applications. 199. 117125–117125. 14 indexed citations
15.
Avvenuti, Marco, et al.. (2022). A Spatio- Temporal Attentive Network for Video-Based Crowd Counting. CINECA IRIS Institutial research information system (University of Pisa). 1–6. 7 indexed citations
16.
Ciampi, Luca, Fabio Carrara, Giuseppe Amato, & Claudio Gennaro. (2022). Counting or Localizing? Evaluating Cell Counting and Detection in Microscopy Images. Zenodo (CERN European Organization for Nuclear Research). 887–897. 2 indexed citations
17.
Ciampi, Luca, Carlos Santiago, João Paulo Costeira, Claudio Gennaro, & Giuseppe Amato. (2021). Domain Adaptation for Traffic Density Estimation. CINECA IRIS Institutial research information system (University of Pisa). 11 indexed citations
18.
Amato, Giuseppe, Luca Ciampi, Fabrizio Falchi, & Claudio Gennaro. (2019). Counting Vehicles with Deep Learning in Onboard UAV Imagery. CINECA IRIS Institutial research information system (University of Pisa). 1–6. 29 indexed citations
19.
Ciampi, Luca, Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro, & Fausto Rabitti. (2018). Counting Vehicles with Cameras.. CINECA IRIS Institutial research information system (University of Pisa). 14 indexed citations
20.
Amato, Giuseppe, Paolo Bolettieri, Davide Moroni, et al.. (2018). A Wireless Smart Camera Network for Parking Monitoring. CINECA IRIS Institutial research information system (University of Pisa). 1–6. 14 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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