Davide Migliore

25 total papers · 572 total citations
14 papers, 268 citations indexed

About

Davide Migliore is a scholar working on Aerospace Engineering, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Davide Migliore has authored 14 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Aerospace Engineering, 7 papers in Electrical and Electronic Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Davide Migliore's work include Robotics and Sensor-Based Localization (7 papers), Indoor and Outdoor Localization Technologies (5 papers) and 3D Surveying and Cultural Heritage (3 papers). Davide Migliore is often cited by papers focused on Robotics and Sensor-Based Localization (7 papers), Indoor and Outdoor Localization Technologies (5 papers) and 3D Surveying and Cultural Heritage (3 papers). Davide Migliore collaborates with scholars based in Italy, Switzerland and France. Davide Migliore's co-authors include Matteo Matteucci, Domenico G. Sorrenti, Matteo Naccari, Alessandro Giusti, Roberto Rigamonti, Fabio Antonacci, Marco Tagliasacchi, Augusto Sarti, Stefano Tubaro and Vincenzo Caglioti and has published in prestigious journals such as Autonomous Robots, Kinesiology and arXiv (Cornell University).

In The Last Decade

Davide Migliore

14 papers receiving 252 citations

Author Peers

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

Author						Papers	Cites
Davide Migliore	181	157	60	38	29	14	268
Andrew Symington	92 0.5×	98 0.6×	55 0.9×	39 1.0×	11 0.4×	14	283
Fangshi Wang	259 1.4×	181 1.2×	43 0.7×	72 1.9×	43 1.5×	15	329
Sang Min Oh	160 0.9×	133 0.8×	25 0.4×	70 1.8×	14 0.5×	11	292
Jason Ziglar	173 1.0×	106 0.7×	24 0.4×	29 0.8×	32 1.1×	11	299
Qi Wei	229 1.3×	126 0.8×	49 0.8×	14 0.4×	25 0.9×	21	312
Kenny Chen	140 0.8×	174 1.1×	36 0.6×	23 0.6×	73 2.5×	10	288
Ue-Hwan Kim	145 0.8×	76 0.5×	22 0.4×	72 1.9×	17 0.6×	21	297
Mohammad O. A. Aqel	154 0.9×	172 1.1×	54 0.9×	9 0.2×	29 1.0×	19	261
Leonid Naimark	222 1.2×	203 1.3×	69 1.1×	25 0.7×	45 1.6×	14	332
Lianqing Zheng	147 0.8×	183 1.2×	55 0.9×	31 0.8×	11 0.4×	14	312

Countries citing papers authored by Davide Migliore

Since Specialization

Citations

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

Fields of papers citing papers by Davide Migliore

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davide Migliore

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