Don Kerr

67 papers and 1.4k indexed citations i.

About

Don Kerr is a scholar working on Management Information Systems, Sociology and Political Science and Information Systems and Management. According to data from OpenAlex, Don Kerr has authored 67 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Management Information Systems, 14 papers in Sociology and Political Science and 9 papers in Information Systems and Management. Recurrent topics in Don Kerr’s work include Information Systems Theories and Implementation (10 papers), Technology Adoption and User Behaviour (8 papers) and ERP Systems Implementation and Impact (7 papers). Don Kerr is often cited by papers focused on Information Systems Theories and Implementation (10 papers), Technology Adoption and User Behaviour (8 papers) and ERP Systems Implementation and Impact (7 papers). Don Kerr collaborates with scholars based in Australia, United States and United Kingdom. Don Kerr's co-authors include Timothy F. Smith, Bishnu Prasad Sharma, David Gadenne, Luke Houghton, Ja‐Shen Chen, Shah Jahan Miah, Cindy Yunhsin Chou, Louis Sanzogni, Paola Leone and Katherine Davis and has published in prestigious journals such as Nature, Journal of Clinical Investigation and Energy Policy.

In The Last Decade

Co-authorship network of co-authors of Don Kerr i

Fields of papers citing papers by Don Kerr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Don Kerr

Since Specialization
Citations

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