Countries citing papers authored by Peter J. Brown
Since
Specialization
Citations
This map shows the geographic impact of Peter J. 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 Peter J. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter J. Brown more than expected).
This network shows the impact of papers produced by Peter J. 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 Peter J. Brown. The network helps show where Peter J. Brown may publish in the future.
Co-authorship network of co-authors of Peter J. Brown
This figure shows the co-authorship network connecting the top 25 collaborators of Peter J. Brown.
A scholar is included among the top collaborators of Peter J. Brown based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Peter J. Brown. Peter J. Brown is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Jones, Gareth J. F. & Peter J. Brown. (2004). The role of context in information retrieval. Arrow@dit (Dublin Institute of Technology).14 indexed citations
4.
Brown, Peter J.. (2003). Software portability. 1633–1634.2 indexed citations
Brown, Peter J.. (1981). Dynamic program building. Software Practice and Experience. 11(8). 831–843.7 indexed citations
20.
Brown, Peter J.. (1967). The ML/I macro processor. Communications of the ACM. 10(10). 618–623.38 indexed citations
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.