Gianpiero Francesca

79 total papers · 1.3k total citations
27 papers, 525 citations indexed

About

Gianpiero Francesca is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Gianpiero Francesca has authored 27 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 8 papers in Mechanical Engineering. Recurrent topics in Gianpiero Francesca's work include Human Pose and Action Recognition (12 papers), Anomaly Detection Techniques and Applications (9 papers) and Modular Robots and Swarm Intelligence (8 papers). Gianpiero Francesca is often cited by papers focused on Human Pose and Action Recognition (12 papers), Anomaly Detection Techniques and Applications (9 papers) and Modular Robots and Swarm Intelligence (8 papers). Gianpiero Francesca collaborates with scholars based in Belgium, France and Switzerland. Gianpiero Francesca's co-authors include Mauro Birattari, Lorenzo Garattoni, Manuele Brambilla, Arne Brutschy, Vito Trianni, Rui Dai, Srijan Das, Luca Minciullo, François Brémond and Carlo Pinciroli and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and International Journal of Computer Vision.

In The Last Decade

Gianpiero Francesca

24 papers receiving 513 citations

Author Peers

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

Author						Papers	Cites
Gianpiero Francesca	225	220	189	175	87	27	525
Chris Jones	143 0.6×	115 0.5×	190 1.0×	261 1.5×	28 0.3×	26	544
Nithin Mathews	119 0.5×	108 0.5×	260 1.4×	276 1.6×	49 0.6×	15	516
Philippe Rétornaz	111 0.5×	95 0.4×	193 1.0×	147 0.8×	38 0.4×	18	561
Christopher M. Cianci	108 0.5×	127 0.6×	214 1.1×	212 1.2×	57 0.7×	8	499
Joel M. Esposito	82 0.4×	180 0.8×	116 0.6×	158 0.9×	80 0.9×	46	556
Ali Hashemi	214 1.0×	88 0.4×	68 0.4×	77 0.4×	31 0.4×	31	498
Phillip Walker	119 0.5×	99 0.5×	165 0.9×	231 1.3×	33 0.4×	27	539
Melanie Schranz	90 0.4×	92 0.4×	145 0.8×	216 1.2×	44 0.5×	32	455
Marjorie Darrah	97 0.4×	132 0.6×	39 0.2×	88 0.5×	22 0.3×	42	487
Giovanni Pini	152 0.7×	131 0.6×	308 1.6×	357 2.0×	44 0.5×	16	599

Countries citing papers authored by Gianpiero Francesca

Since Specialization

Citations

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

Fields of papers citing papers by Gianpiero Francesca

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gianpiero Francesca

This figure shows the co-authorship network connecting the top 25 collaborators of Gianpiero Francesca. A scholar is included among the top collaborators of Gianpiero Francesca 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 Gianpiero Francesca. Gianpiero Francesca 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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