Davide Baltieri

12 total papers · 817 total citations
8 papers, 450 citations indexed

About

Davide Baltieri is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Davide Baltieri has authored 8 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 4 papers in Biomedical Engineering and 1 paper in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Davide Baltieri's work include Video Surveillance and Tracking Methods (7 papers), Human Pose and Action Recognition (5 papers) and Gait Recognition and Analysis (4 papers). Davide Baltieri is often cited by papers focused on Video Surveillance and Tracking Methods (7 papers), Human Pose and Action Recognition (5 papers) and Gait Recognition and Analysis (4 papers). Davide Baltieri collaborates with scholars based in Italy, Hungary and Ireland. Davide Baltieri's co-authors include Roberto Vezzani, Rita Cucchiara, Tamás Szirányi, Csaba Benedek, Brendan O’Flynn, Cristina M. Pinotti, Lars Wolf, Dimitrios Zorbas, Francesco Betti Sorbelli and Alfredo Navarra and has published in prestigious journals such as ACM Computing Surveys, International Journal of Computer Vision and Florence Research (University of Florence).

In The Last Decade

Davide Baltieri

8 papers receiving 432 citations

Author Peers

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

Author						Papers	Cites
Davide Baltieri	430	167	48	21	20	8	450
Faqiang Wang	380 0.9×	186 1.1×	65 1.4×	19 0.9×	30 1.5×	9	483
Lingxiao He	485 1.1×	261 1.6×	69 1.4×	24 1.1×	12 0.6×	10	542
Abrar Ahmed	420 1.0×	68 0.4×	106 2.2×	17 0.8×	12 0.6×	9	534
Hongchen Tan	376 0.9×	83 0.5×	52 1.1×	9 0.4×	11 0.6×	20	428
Chuchu Han	361 0.8×	73 0.4×	126 2.6×	15 0.7×	12 0.6×	15	455
Etienne Corvée	461 1.1×	185 1.1×	47 1.0×	17 0.8×	19 0.9×	14	472
Vasu Parameswaran	395 0.9×	118 0.7×	131 2.7×	10 0.5×	8 0.4×	11	411
Ramprasad Polana	479 1.1×	154 0.9×	140 2.9×	20 1.0×	36 1.8×	7	541
Munan Ning	349 0.8×	133 0.8×	142 3.0×	8 0.4×	7 0.3×	14	462
Menghua Zheng	297 0.7×	39 0.2×	63 1.3×	19 0.9×	18 0.9×	8	425

Countries citing papers authored by Davide Baltieri

Since Specialization

Citations

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

Fields of papers citing papers by Davide Baltieri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davide Baltieri

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