Tereza Neocleous

16 papers and 257 indexed citations i.

About

Tereza Neocleous is a scholar working on Artificial Intelligence, Statistics and Probability and Archeology. According to data from OpenAlex, Tereza Neocleous has authored 16 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Statistics and Probability and 4 papers in Archeology. Recurrent topics in Tereza Neocleous’s work include Geochemistry and Geologic Mapping (6 papers), Statistical Methods and Inference (5 papers) and Cultural Heritage Materials Analysis (4 papers). Tereza Neocleous is often cited by papers focused on Geochemistry and Geologic Mapping (6 papers), Statistical Methods and Inference (5 papers) and Cultural Heritage Materials Analysis (4 papers). Tereza Neocleous collaborates with scholars based in United Kingdom, Poland and United States. Tereza Neocleous's co-authors include Grzegorz Zadora, Duncan Lee, Stephen Portnoy, Colin Aitken, Agostino Nobile, Karlien Vanden Branden, Nicola Martin, Nema Dean, Agnieszka Martyna and Marco Vincenti and has published in prestigious journals such as Journal of the American Statistical Association, Analytica Chimica Acta and Journal of the Royal Statistical Society Series C (Applied Statistics).

In The Last Decade

Co-authorship network of co-authors of Tereza Neocleous i

Fields of papers citing papers by Tereza Neocleous

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tereza Neocleous

Since Specialization
Citations

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

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