Pietro Zanarini

14 total papers · 1.1k total citations
8 papers, 327 citations indexed

About

Pietro Zanarini is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Information Systems and Management. According to data from OpenAlex, Pietro Zanarini has authored 8 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Networks and Communications, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems and Management. Recurrent topics in Pietro Zanarini's work include Video Analysis and Summarization (2 papers), Scientific Computing and Data Management (2 papers) and Computational Physics and Python Applications (2 papers). Pietro Zanarini is often cited by papers focused on Video Analysis and Summarization (2 papers), Scientific Computing and Data Management (2 papers) and Computational Physics and Python Applications (2 papers). Pietro Zanarini collaborates with scholars based in Italy, Switzerland and United States. Pietro Zanarini's co-authors include Riccardo Scateni, Jarke J. van Wijk, Olivier Couet, René Brun, Davide Carboni, J. Marín, R. Brun, R. Böck and L. Pape and has published in prestigious journals such as Computer Physics Communications, International Journal of Web Engineering and Technology and UNICA IRIS Institutional Research Information System (University of Cagliari).

In The Last Decade

Pietro Zanarini

8 papers receiving 269 citations

Author Peers

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

Author						Papers	Cites
Pietro Zanarini	156	70	48	41	39	8	327
Josie Wernecke	136 0.9×	84 1.2×	29 0.6×	17 0.4×	25 0.6×	5	319
Jason Wood	103 0.7×	59 0.8×	33 0.7×	14 0.3×	46 1.2×	13	221
Gregory Abram	172 1.1×	182 2.6×	33 0.7×	36 0.9×	11 0.3×	15	289
David J. Cowperthwaite	244 1.6×	82 1.2×	9 0.2×	47 1.1×	28 0.7×	10	290
John Rasure	136 0.9×	40 0.6×	69 1.4×	20 0.5×	48 1.2×	15	360
Marco Di Benedetto	166 1.1×	150 2.1×	23 0.5×	10 0.2×	18 0.5×	21	301
Chén Mĭn	114 0.7×	18 0.3×	19 0.4×	26 0.6×	52 1.3×	13	294
Biye Jiang	231 1.5×	25 0.4×	79 1.6×	124 3.0×	81 2.1×	8	337
Lisa Tweedie	267 1.7×	16 0.2×	39 0.8×	80 2.0×	100 2.6×	13	346
G. Ellis	293 1.9×	39 0.6×	13 0.3×	119 2.9×	98 2.5×	6	355

Countries citing papers authored by Pietro Zanarini

Since Specialization

Citations

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

Fields of papers citing papers by Pietro Zanarini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pietro Zanarini

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