Valeria Garro

35 total papers · 496 total citations
25 papers, 219 citations indexed

About

Valeria Garro is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computational Mechanics. According to data from OpenAlex, Valeria Garro has authored 25 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 6 papers in Aerospace Engineering and 5 papers in Computational Mechanics. Recurrent topics in Valeria Garro's work include Advanced Image and Video Retrieval Techniques (6 papers), Robotics and Sensor-Based Localization (6 papers) and Advanced Vision and Imaging (6 papers). Valeria Garro is often cited by papers focused on Advanced Image and Video Retrieval Techniques (6 papers), Robotics and Sensor-Based Localization (6 papers) and Advanced Vision and Imaging (6 papers). Valeria Garro collaborates with scholars based in Italy, Sweden and United States. Valeria Garro's co-authors include Andrea Fusiello, Fabio Crosilla, Andrea Giachetti, Veronica Sundstedt, Fabio Ganovelli, Enrico Gobbetti, Giovanni Pintore, Guido M. Cortelazzo, Pietro Zanuttigh and Marco Agus and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and The Visual Computer.

In The Last Decade

Valeria Garro

23 papers receiving 218 citations

Author Peers

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

Author						Papers	Cites
Valeria Garro	154	71	48	29	25	25	219
Oliver Wasenmüller	189 1.2×	122 1.7×	52 1.1×	28 1.0×	21 0.8×	28	275
Timothée Jost	241 1.6×	146 2.1×	78 1.6×	32 1.1×	32 1.3×	13	312
Adrián Peñate-Sánchez	198 1.3×	181 2.5×	48 1.0×	13 0.4×	28 1.1×	23	291
Armin Mustafa	214 1.4×	62 0.9×	23 0.5×	40 1.4×	25 1.0×	19	272
Andrew J. Davison	118 0.8×	119 1.7×	32 0.7×	14 0.5×	11 0.4×	13	200
Thomas Mörwald	191 1.2×	119 1.7×	46 1.0×	41 1.4×	23 0.9×	14	285
Jiaxin Li	156 1.0×	160 2.3×	83 1.7×	69 2.4×	44 1.8×	23	308
Jinhui Hu	264 1.7×	55 0.8×	27 0.6×	5 0.2×	35 1.4×	23	305
Oscar Méndez	168 1.1×	102 1.4×	27 0.6×	8 0.3×	19 0.8×	29	233
Suryansh Kumar	245 1.6×	101 1.4×	45 0.9×	48 1.7×	27 1.1×	25	304

Countries citing papers authored by Valeria Garro

Since Specialization

Citations

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

Fields of papers citing papers by Valeria Garro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valeria Garro

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