Nicola Bellotto

2.4k total citations
70 papers, 1.5k citations indexed

About

Nicola Bellotto is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Nicola Bellotto has authored 70 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Computer Vision and Pattern Recognition, 22 papers in Artificial Intelligence and 10 papers in Control and Systems Engineering. Recurrent topics in Nicola Bellotto's work include Video Surveillance and Tracking Methods (25 papers), Human Pose and Action Recognition (13 papers) and Robotic Path Planning Algorithms (11 papers). Nicola Bellotto is often cited by papers focused on Video Surveillance and Tracking Methods (25 papers), Human Pose and Action Recognition (13 papers) and Robotic Path Planning Algorithms (11 papers). Nicola Bellotto collaborates with scholars based in United Kingdom, Italy and France. Nicola Bellotto's co-authors include Huosheng Hu, Tom Duckett, Zhi Yan, Serhan Coşar, Shigang Yue, Marc Hanheide, Óscar Martínez Mozos, Sally Andrews, José Manuel Ferrández and Virginia Săndulescu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Information Sciences and The International Journal of Robotics Research.

In The Last Decade

Nicola Bellotto

67 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nicola Bellotto United Kingdom	21	837	295	269	217	203	70	1.5k
Alexander Zelinsky Australia	23	890 1.1×	222 0.8×	372 1.4×	221 1.0×	394 1.9×	69	1.6k
Tiziana D’Orazio Italy	27	1.1k 1.3×	229 0.8×	267 1.0×	75 0.3×	111 0.5×	115	2.2k
Horst–Michael Groß Germany	22	856 1.0×	314 1.1×	324 1.2×	57 0.3×	207 1.0×	130	2.1k
Alex Zelinsky Australia	18	1.2k 1.4×	208 0.7×	336 1.2×	200 0.9×	221 1.1×	50	1.8k
Eshed Ohn-Bar United States	24	1.2k 1.4×	308 1.0×	101 0.4×	608 2.8×	171 0.8×	64	2.0k
Takahiro Miyashita Japan	21	694 0.8×	457 1.5×	186 0.7×	125 0.6×	559 2.8×	101	1.8k
Óscar Martínez Mozos Spain	26	1.5k 1.8×	351 1.2×	1.1k 4.2×	116 0.5×	296 1.5×	68	2.2k
Kai‐Tai Song Taiwan	23	1.4k 1.6×	221 0.7×	473 1.8×	119 0.5×	824 4.1×	147	2.1k
Miguel Á. Salichs Spain	23	929 1.1×	656 2.2×	295 1.1×	95 0.4×	481 2.4×	150	2.3k
Hiroshi Mizoguchi Japan	20	651 0.8×	162 0.5×	232 0.9×	66 0.3×	319 1.6×	280	1.9k

Countries citing papers authored by Nicola Bellotto

Since Specialization

Citations

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

Fields of papers citing papers by Nicola Bellotto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicola Bellotto

This figure shows the co-authorship network connecting the top 25 collaborators of Nicola Bellotto. A scholar is included among the top collaborators of Nicola Bellotto 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 Bellotto. Nicola Bellotto 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:

20 of 20 papers shown

Hanheide, Marc, et al.. (2023). Qualitative Prediction of Multi-Agent Spatial Interactions. Research Padua Archive (University of Padua). 1170–1175. 2 indexed citations

Bellotto, Nicola, et al.. (2021). Generative design and fabrication of a locust-inspired gliding wing prototype for micro aerial robots. Journal of Computational Design and Engineering. 8(5). 1191–1203. 8 indexed citations

Yan, Zhi, et al.. (2020). Robot perception of static and dynamic objects with an autonomous floor scrubber. Intelligent Service Robotics. 13(3). 403–417. 24 indexed citations

Camara, Fanta, Nicola Bellotto, Serhan Coşar, et al.. (2020). Pedestrian Models for Autonomous Driving Part II: High-Level Models of Human Behavior. IEEE Transactions on Intelligent Transportation Systems. 22(9). 5453–5472. 94 indexed citations

Camara, Fanta, Nicola Bellotto, Serhan Coşar, et al.. (2020). Pedestrian Models for Autonomous Driving Part I: Low-Level Models, From Sensing to Tracking. IEEE Transactions on Intelligent Transportation Systems. 22(10). 6131–6151. 52 indexed citations

Bellotto, Nicola, et al.. (2019). Deep Spiking Neural Network for Video-Based Disguise Face Recognition Based on Dynamic Facial Movements. IEEE Transactions on Neural Networks and Learning Systems. 31(6). 1843–1855. 30 indexed citations

Cielniak, Grzegorz, et al.. (2019). Active Object Search with a Mobile Device for People with Visual Impairments. Lincoln Repository (University of Lincoln). 476–485. 1 indexed citations

Coşar, Serhan & Nicola Bellotto. (2019). Human Re-Identification with a Robot Thermal Camera Using Entropy-Based Sampling. Journal of Intelligent & Robotic Systems. 98(1). 85–102. 11 indexed citations

Bellotto, Nicola, Manuel F. Fernández, & Serhan Coşar. (2017). ENRICHME integration of ambient intelligence and robotics for AAL. Lincoln Repository (University of Lincoln). 5 indexed citations

10.

Cielniak, Grzegorz, et al.. (2017). Portable navigations system with adaptive multimodal interface for the blind. Lincoln Repository (University of Lincoln). 6 indexed citations

11.

Yan, Zhi, Tom Duckett, & Nicola Bellotto. (2017). Online learning for human classification in 3D LiDAR-based tracking. Lincoln Repository (University of Lincoln). 864–871. 86 indexed citations

12.

Tapus, Adriana, et al.. (2016). EnrichMe: a robotic solution for independence and active aging of elderly people with MCI. 3 indexed citations

13.

Gallina, Paolo, Nicola Bellotto, & Massimiliano Di Luca. (2015). Progressive Co-adaptation in Human-Machine Interaction. Lincoln Repository (University of Lincoln). 362–368. 13 indexed citations

14.

Dondrup, Christian, Marc Hanheide, & Nicola Bellotto. (2014). A probabilistic model of human-robot spatial interaction using a qualitative trajectory calculus. Lincoln Repository (University of Lincoln). 3 indexed citations

15.

Iliopoulos, Konstantinos, Nicola Bellotto, & Nikolaos Mavridis. (2014). From sequence to trajectory and vice versa: solving the inverse QTC problem and coping with real-world trajectories. Lincoln Repository (University of Lincoln). 1 indexed citations

16.

Dondrup, Christian, Nicola Bellotto, & Marc Hanheide. (2014). Social distance augmented qualitative trajectory calculus for Human-Robot Spatial Interaction. Lincoln Repository (University of Lincoln). 519–524. 2 indexed citations

17.

Bellotto, Nicola. (2012). Robot Control Based on Qualitative Representation of Human Trajectories. Lincoln Repository (University of Lincoln). 8 indexed citations

18.

Hanheide, Marc, et al.. (2012). Analysis of human-robot spatial behaviour applying a qualitative trajectory calculus. Lincoln Repository (University of Lincoln). 689–694. 25 indexed citations

19.

Bellotto, Nicola & Huosheng Hu. (2007). People tracking with a mobile robot: a comparison of Kalman and particle filters. 388–393. 12 indexed citations

20.

Bellotto, Nicola & Huosheng Hu. (2005). Multisensor Integration for Human-Robot Interaction. 21 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