Daniel Michelsanti

19 total papers · 411 total citations
8 papers, 226 citations indexed

About

Daniel Michelsanti is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Daniel Michelsanti has authored 8 papers receiving a total of 226 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Signal Processing, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Cognitive Neuroscience. Recurrent topics in Daniel Michelsanti's work include Speech and Audio Processing (5 papers), Hearing Loss and Rehabilitation (3 papers) and Advanced Adaptive Filtering Techniques (3 papers). Daniel Michelsanti is often cited by papers focused on Speech and Audio Processing (5 papers), Hearing Loss and Rehabilitation (3 papers) and Advanced Adaptive Filtering Techniques (3 papers). Daniel Michelsanti collaborates with scholars based in Denmark. Daniel Michelsanti's co-authors include Zheng‐Hua Tan, Jesper Jensen, Sigurður Sigurdsson, Kamal Nasrollahi, Thomas B. Moeslund, Federico Chiariotti, Petar Popovski, Gloria Haro and Anders E. Kalør and has published in prestigious journals such as Speech Communication, International Journal of Computer Integrated Manufacturing and arXiv (Cornell University).

In The Last Decade

Daniel Michelsanti

8 papers receiving 216 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel Michelsanti 172 90 59 36 27 8 226
W. Verhelst 237 1.4× 116 1.3× 115 1.9× 41 1.1× 35 1.3× 13 320
Israel D. Gebru 145 0.8× 101 1.1× 91 1.5× 28 0.8× 36 1.3× 14 259
Nicola Montecchio 233 1.4× 104 1.2× 121 2.1× 20 0.6× 65 2.4× 11 314
Wen Wang 93 0.5× 60 0.7× 99 1.7× 13 0.4× 13 0.5× 9 296
Kimmo Kärkkäinen 39 0.2× 133 1.5× 149 2.5× 5 0.1× 24 0.9× 10 307
Alfonso Casas Martín 132 0.8× 21 0.2× 119 2.0× 11 0.3× 13 0.5× 6 244
Navaneeth Bodla 56 0.3× 50 0.6× 209 3.5× 15 0.4× 14 0.5× 9 282
Ritwik Kumar 39 0.2× 55 0.6× 195 3.3× 27 0.8× 11 0.4× 16 306
Xiaoyu Bie 67 0.4× 100 1.1× 59 1.0× 21 0.6× 12 0.4× 6 212
D. Paul 270 1.6× 236 2.6× 52 0.9× 46 1.3× 15 0.6× 9 327

Countries citing papers authored by Daniel Michelsanti

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Michelsanti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Michelsanti

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