Michele Merler

58 total papers · 1.0k total citations
35 papers, 592 citations indexed

About

Michele Merler is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Michele Merler has authored 35 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 5 papers in Signal Processing. Recurrent topics in Michele Merler's work include Advanced Image and Video Retrieval Techniques (14 papers), Multimodal Machine Learning Applications (9 papers) and Video Analysis and Summarization (9 papers). Michele Merler is often cited by papers focused on Advanced Image and Video Retrieval Techniques (14 papers), Multimodal Machine Learning Applications (9 papers) and Video Analysis and Summarization (9 papers). Michele Merler collaborates with scholars based in United States, Japan and Argentina. Michele Merler's co-authors include John R. Smith, Apostol Natsev, Serge Belongie, Carolina Galleguillos, Lexing Xie, Gang Hua, Bert Huang, John R. Smith, Hui Wu and Liangliang Cao and has published in prestigious journals such as Neurocomputing, IBM Journal of Research and Development and IEEE Transactions on Multimedia.

In The Last Decade

Michele Merler

31 papers receiving 549 citations

Hit Papers

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Author Peers

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

Author Last Decade Papers Cites
Michele Merler 391 196 68 55 40 35 592
Kashif Munir 102 0.3× 196 1.0× 50 0.7× 155 2.8× 29 0.7× 42 649
Alceu de Souza Britto 296 0.8× 286 1.5× 63 0.9× 38 0.7× 15 0.4× 69 581
Amélie Gyrard 101 0.3× 265 1.4× 27 0.4× 160 2.9× 13 0.3× 32 577
Asad Ullah 193 0.5× 73 0.4× 55 0.8× 29 0.5× 15 0.4× 31 533
Jiaxian Guo 226 0.6× 370 1.9× 30 0.4× 53 1.0× 21 0.5× 22 623
Xiaofeng Wang 70 0.2× 268 1.4× 157 2.3× 121 2.2× 21 0.5× 23 508
Fabio Persia 186 0.5× 199 1.0× 69 1.0× 222 4.0× 23 0.6× 63 544
Damien Magoni 106 0.3× 145 0.7× 79 1.2× 53 1.0× 52 1.3× 39 580
Soyeon Caren Han 98 0.3× 253 1.3× 13 0.2× 90 1.6× 13 0.3× 51 514
Ebrahim Akbari 167 0.4× 339 1.7× 25 0.4× 101 1.8× 24 0.6× 33 583

Countries citing papers authored by Michele Merler

Since Specialization
Citations

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

Fields of papers citing papers by Michele Merler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Merler

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

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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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