Studies in Documentary Film

270 papers and 740 indexed citations i.

About

The 270 papers published in Studies in Documentary Film in the last decades have received a total of 740 indexed citations. Papers published in Studies in Documentary Film usually cover Economics and Econometrics (159 papers), Sociology and Political Science (115 papers) and Visual Arts and Performing Arts (55 papers) specifically the topics of Cinema and Media Studies (159 papers), Italian Fascism and Post-war Society (39 papers) and Photography and Visual Culture (21 papers). The most active scholars publishing in Studies in Documentary Film are Kate Nash, Craig Hight, Christian Christensen, Jon Dovey, Ohad Landesman, John Corner, Bill Nichols, Tianqi Yu, Stacie Friend and Marina Svensson.

In The Last Decade

Fields of papers published in Studies in Documentary Film

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Studies in Documentary Film. 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 Studies in Documentary Film.

Countries where authors publish in Studies in Documentary Film

Since Specialization
Citations

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