Williams Mazzella

40 total papers · 745 total citations
30 papers, 543 citations indexed

About

Williams Mazzella is a scholar working on Archeology, Computer Vision and Pattern Recognition and Analytical Chemistry. According to data from OpenAlex, Williams Mazzella has authored 30 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Archeology, 10 papers in Computer Vision and Pattern Recognition and 8 papers in Analytical Chemistry. Recurrent topics in Williams Mazzella's work include Cultural Heritage Materials Analysis (12 papers), Handwritten Text Recognition Techniques (7 papers) and Spectroscopy and Chemometric Analyses (6 papers). Williams Mazzella is often cited by papers focused on Cultural Heritage Materials Analysis (12 papers), Handwritten Text Recognition Techniques (7 papers) and Spectroscopy and Chemometric Analyses (6 papers). Williams Mazzella collaborates with scholars based in Switzerland, Italy and China. Williams Mazzella's co-authors include Patrick Buzzini, Raymond Marquis, Pierre Margot, Chris Lennard, Céline Weyermann, Eric Lock, Bernhard Spengler, Franco Taroni, Alex Biedermann and Laurence Dujourdy and has published in prestigious journals such as Forensic Science International, Journal of Forensic Sciences and Science & Justice.

In The Last Decade

Williams Mazzella

29 papers receiving 507 citations

Author Peers

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

Author						Papers	Cites
Williams Mazzella	295	152	122	119	78	30	543
Patrick Buzzini	269 0.9×	210 1.4×	39 0.3×	98 0.8×	47 0.6×	36	548
Carolina S. Silva	140 0.5×	264 1.7×	80 0.7×	46 0.4×	13 0.2×	27	487
Richard Saferstein	82 0.3×	60 0.4×	32 0.3×	106 0.9×	14 0.2×	21	592
César Costa Vera	165 0.6×	85 0.6×	39 0.3×	58 0.5×	77 1.0×	52	584
Deleon Nascimento Correa	80 0.3×	179 1.2×	42 0.3×	86 0.7×	11 0.1×	21	465
Matteo D. Gallidabino	113 0.4×	73 0.5×	18 0.1×	127 1.1×	7 0.1×	28	533
Robert Ramotowski	149 0.5×	37 0.2×	32 0.3×	495 4.2×	16 0.2×	16	613
Roger W. Jones	84 0.3×	208 1.4×	10 0.1×	39 0.3×	19 0.2×	36	601
Anders Nordgaard	36 0.1×	45 0.3×	48 0.4×	53 0.4×	6 0.1×	32	481
Filippo Barni	64 0.2×	41 0.3×	11 0.1×	62 0.5×	6 0.1×	26	517

Countries citing papers authored by Williams Mazzella

Since Specialization

Citations

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

Fields of papers citing papers by Williams Mazzella

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Williams Mazzella

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