Michele Trevisiol

402 total citations
9 papers, 228 citations indexed

About

Michele Trevisiol is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Michele Trevisiol has authored 9 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Information Systems. Recurrent topics in Michele Trevisiol's work include Advanced Image and Video Retrieval Techniques (5 papers), Image Retrieval and Classification Techniques (5 papers) and Geographic Information Systems Studies (2 papers). Michele Trevisiol is often cited by papers focused on Advanced Image and Video Retrieval Techniques (5 papers), Image Retrieval and Classification Techniques (5 papers) and Geographic Information Systems Studies (2 papers). Michele Trevisiol collaborates with scholars based in Spain, United Kingdom and Italy. Michele Trevisiol's co-authors include Rossano Schifanella, Lluís Garcia Pueyo, Yannis Avrithis, Yannis Kalantidis, Roelof van Zwol, Alejandro Jaimes, Luca Maria Aiello, Neil O’Hare, Мириам Реди and Alejandro Jaimes and has published in prestigious journals such as arXiv (Cornell University), DSpace - NTUA (National Technical University of Athens) and Research Repository (Delft University of Technology).

In The Last Decade

Michele Trevisiol

8 papers receiving 212 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michele Trevisiol Spain	6	153	60	55	17	16	9	228
Lluís Garcia Pueyo United States	7	278 1.8×	85 1.4×	74 1.3×	11 0.6×	30 1.9×	10	363
Hiroaki Ohshima Japan	8	33 0.2×	104 1.7×	104 1.9×	16 0.9×	6 0.4×	50	219
Andrew Zhai United States	9	147 1.0×	98 1.6×	61 1.1×	12 0.7×	2 0.1×	13	247
Md Abul Bashar Australia	7	58 0.4×	112 1.9×	29 0.5×	8 0.5×	9 0.6×	23	203
Huamin Feng China	6	122 0.8×	126 2.1×	47 0.9×	14 0.8×	9 0.6×	11	238
Ruohan Zhan United States	7	161 1.1×	45 0.8×	52 0.9×	8 0.5×	15 0.9×	10	242
Philippe Mulhem France	10	201 1.3×	58 1.0×	35 0.6×	25 1.5×	24 1.5×	46	260
Kristen Summers United States	7	48 0.3×	67 1.1×	26 0.5×	28 1.6×	6 0.4×	12	137
Niannan Xue United Kingdom	8	195 1.3×	47 0.8×	54 1.0×	9 0.5×	6 0.4×	10	271
Zhenxiao Luo China	9	138 0.9×	65 1.1×	84 1.5×	20 1.2×	11 0.7×	20	253

Countries citing papers authored by Michele Trevisiol

Since Specialization

Citations

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

Fields of papers citing papers by Michele Trevisiol

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Trevisiol

This figure shows the co-authorship network connecting the top 25 collaborators of Michele Trevisiol. A scholar is included among the top collaborators of Michele Trevisiol 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 Michele Trevisiol. Michele Trevisiol is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Grabowicz, Przemyslaw A., et al.. (2021). Leveraging Browsing Patterns for Topic Discovery and Photostream Recommendation. Proceedings of the International AAAI Conference on Web and Social Media. 7(1). 71–80.

2.

Trevisiol, Michele, et al.. (2014). Buon appetito. 327–329. 25 indexed citations

3.

Trevisiol, Michele, Luca Maria Aiello, Rossano Schifanella, & Alejandro Jaimes. (2014). Cold-start news recommendation with domain-dependent browse graph. 81–88. 31 indexed citations

4.

Реди, Мириам, Neil O’Hare, Rossano Schifanella, Michele Trevisiol, & Alejandro Jaimes. (2014). 6 Seconds of Sound and Vision: Creativity in Micro-videos. arXiv (Cornell University). 4272–4279. 49 indexed citations

5.

Hauff, Claudia, Bart Thomée, & Michele Trevisiol. (2013). Working Notes for the Placing Task at MediaEval 2013. Research Repository (Delft University of Technology). 16 indexed citations

6.

Trevisiol, Michele, et al.. (2012). Image ranking based on user browsing behavior. 445–454. 15 indexed citations

7.

Trevisiol, Michele & Guillaume Gravier. (2012). How INRIA/IRISA identifies Geographic Location of Videos. 5 indexed citations

8.

Trevisiol, Michele, et al.. (2012). Discovering Social Photo Navigation Patterns. 31–36. 5 indexed citations

9.

Kalantidis, Yannis, Lluís Garcia Pueyo, Michele Trevisiol, Roelof van Zwol, & Yannis Avrithis. (2011). Scalable triangulation-based logo recognition. DSpace - NTUA (National Technical University of Athens). 1–7. 82 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.

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