Journal on Computing and Cultural Heritage

556 papers and 4.9k indexed citations i.

About

The 556 papers published in Journal on Computing and Cultural Heritage in the last decades have received a total of 4.9k indexed citations. Papers published in Journal on Computing and Cultural Heritage usually cover Computer Vision and Pattern Recognition (291 papers), Geology (173 papers) and Artificial Intelligence (102 papers) specifically the topics of 3D Surveying and Cultural Heritage (173 papers), Image Processing and 3D Reconstruction (77 papers) and Virtual Reality Applications and Impacts (69 papers). The most active scholars publishing in Journal on Computing and Cultural Heritage are Roberto Pierdicca, Emanuele Frontoni, James Gain, Mafkereseb Kassahun Bekele, Eva Savina Malinverni, David Mimno, Roberto Scopigno, Paolo Cignoni, Greg Humphreys and David Koller.

In The Last Decade

Fields of papers published in Journal on Computing and Cultural Heritage

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal on Computing and Cultural Heritage. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Journal on Computing and Cultural Heritage.

Countries where authors publish in Journal on Computing and Cultural Heritage

Since Specialization
Citations

This map shows the geographic impact of research published in Journal on Computing and Cultural Heritage. 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 papers published in Journal on Computing and Cultural Heritage with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Journal on Computing and Cultural Heritage 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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