Tom Brown

About

Tom Brown is a scholar working on Accounting, Economics and Econometrics and Literature and Literary Theory. According to data from OpenAlex, Tom Brown has authored 14 papers receiving a total of 192 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Accounting, 4 papers in Economics and Econometrics and 3 papers in Literature and Literary Theory. Recurrent topics in Tom Brown’s work include Auditing, Earnings Management, Governance (3 papers), Cinema and Media Studies (3 papers) and Digital Games and Media (1 paper). Tom Brown is often cited by papers focused on Auditing, Earnings Management, Governance (3 papers), Cinema and Media Studies (3 papers) and Digital Games and Media (1 paper). Tom Brown collaborates with scholars based in United Kingdom. Tom Brown's co-authors include John Innes, David Hatherly, Ingrid Jeacle and David Bach and has published in prestigious journals such as Journal of Psychosomatic Research, Accounting Auditing & Accountability Journal and The British Accounting Review.

In The Last Decade

Co-authorship network of co-authors of Tom Brown i

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Fields of papers citing papers by Tom Brown

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tom Brown

Since Specialization

Citations

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