Williams Mazzella

23 papers and 485 indexed citations i.

About

Williams Mazzella is a scholar working on Archeology, Analytical Chemistry and Computer Vision and Pattern Recognition. According to data from OpenAlex, Williams Mazzella has authored 23 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Archeology, 8 papers in Analytical Chemistry and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Williams Mazzella’s work include Cultural Heritage Materials Analysis (10 papers), Spectroscopy and Chemometric Analyses (6 papers) and Handwritten Text Recognition Techniques (5 papers). Williams Mazzella is often cited by papers focused on Cultural Heritage Materials Analysis (10 papers), Spectroscopy and Chemometric Analyses (6 papers) and Handwritten Text Recognition Techniques (5 papers). Williams Mazzella collaborates with scholars based in Switzerland, Italy and China. Williams Mazzella's co-authors include Patrick Buzzini, Raymond Marquis, Pierre Margot, Céline Weyermann, Chris Lennard, Eric Lock, Bernhard Spengler, Franco Taroni, Alex Biedermann and S. Lociciro and has published in prestigious journals such as Forensic Science International, Journal of Forensic Sciences and Science & Justice.

In The Last Decade

Co-authorship network of co-authors of Williams Mazzella i

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.

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).

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025