Tom Honeyman

5 papers and 150 indexed citations i.

About

Tom Honeyman is a scholar working on Information Systems, Information Systems and Management and Management Science and Operations Research. According to data from OpenAlex, Tom Honeyman has authored 5 papers receiving a total of 150 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Information Systems, 4 papers in Information Systems and Management and 2 papers in Management Science and Operations Research. Recurrent topics in Tom Honeyman’s work include Research Data Management Practices (4 papers), Scientific Computing and Data Management (4 papers) and Data Quality and Management (2 papers). Tom Honeyman is often cited by papers focused on Research Data Management Practices (4 papers), Scientific Computing and Data Management (4 papers) and Data Quality and Management (2 papers). Tom Honeyman collaborates with scholars based in United States, France and Greece. Tom Honeyman's co-authors include Daniel S. Katz, Morane Gruenpeter, Michelle Barker, Neil Chue Hong, Anna‐Lena Lamprecht, Jennifer Harrow, Fotis Psomopoulos, Paula Andrea Martinez, Leyla Jael Castro and Carlos Martínez-Ortiz and has published in prestigious journals such as Scientific Data, Reproduction in Domestic Animals and Patterns.

In The Last Decade

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

Fields of papers citing papers by Tom Honeyman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tom Honeyman

Since Specialization
Citations

This map shows the geographic impact of Tom Honeyman'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 Honeyman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Honeyman 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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2025