Nicola Bernardini

57 total papers · 468 total citations
29 papers, 279 citations indexed

About

Nicola Bernardini is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Signal Processing. According to data from OpenAlex, Nicola Bernardini has authored 29 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 8 papers in Molecular Biology and 8 papers in Signal Processing. Recurrent topics in Nicola Bernardini's work include Music Technology and Sound Studies (12 papers), Music and Audio Processing (8 papers) and Anaerobic Digestion and Biogas Production (7 papers). Nicola Bernardini is often cited by papers focused on Music Technology and Sound Studies (12 papers), Music and Audio Processing (8 papers) and Anaerobic Digestion and Biogas Production (7 papers). Nicola Bernardini collaborates with scholars based in Italy, Switzerland and Denmark. Nicola Bernardini's co-authors include Laura Treu, Stefano Campanaro, İrini Angelidaki, Giovanni De Poli, Arianna Basile, Amalia de Götzen, Panagiotis Kougias, Panagiotis Tsapekos, Daniel Arfib and Guido Zampieri and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Bioresource Technology.

In The Last Decade

Nicola Bernardini

28 papers receiving 264 citations

Author Peers

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

Author						Papers	Cites
Nicola Bernardini	93	82	69	54	34	29	279
S. Sabarunisha Begum	33 0.4×	82 1.0×	76 1.1×	53 1.0×	19 0.6×	33	328
Jitendra Singh Verma	91 1.0×	26 0.3×	90 1.3×	45 0.8×	84 2.5×	32	285
Qiqi Sun	49 0.5×	9 0.1×	17 0.2×	52 1.0×	21 0.6×	29	291
Silvia E. Murialdo	71 0.8×	5 0.1×	68 1.0×	90 1.7×	34 1.0×	27	320
Shiyu Wang	55 0.6×	38 0.5×	34 0.5×	9 0.2×	20 0.6×	20	249
Faizan Saleem	36 0.4×	24 0.3×	46 0.7×	25 0.5×	14 0.4×	23	246
Hanwen Deng	41 0.4×	36 0.4×	12 0.2×	47 0.9×	41 1.2×	22	283
Wenxuan Gao	39 0.4×	80 1.0×	43 0.6×	66 1.2×	70 2.1×	21	279
Yuwei Feng	21 0.2×	14 0.2×	29 0.4×	31 0.6×	36 1.1×	42	307
Hailong Liu	16 0.2×	28 0.3×	22 0.3×	14 0.3×	20 0.6×	47	293

Countries citing papers authored by Nicola Bernardini

Since Specialization

Citations

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

Fields of papers citing papers by Nicola Bernardini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicola Bernardini

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