Kim Martin

23 papers and 427 indexed citations i.

About

Kim Martin is a scholar working on Information Systems, Literature and Literary Theory and Sociology and Political Science. According to data from OpenAlex, Kim Martin has authored 23 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Information Systems, 8 papers in Literature and Literary Theory and 5 papers in Sociology and Political Science. Recurrent topics in Kim Martin’s work include Digital Humanities and Scholarship (8 papers), Web Data Mining and Analysis (4 papers) and Technology Use by Older Adults (3 papers). Kim Martin is often cited by papers focused on Digital Humanities and Scholarship (8 papers), Web Data Mining and Analysis (4 papers) and Technology Use by Older Adults (3 papers). Kim Martin collaborates with scholars based in Canada, United States and United Kingdom. Kim Martin's co-authors include Anabel Quan‐Haase, Kathleen Schreurs, Lori McCay‐Peet, Frances Gays, Rupert Kenefeck, Colin G. Brooks, Diane Rasmussen Pennington, Louise F. Spiteri, Susan Brown and Nadine Desrochers and has published in prestigious journals such as The Journal of Immunology, Information Communication & Society and Journal of Documentation.

In The Last Decade

Co-authorship network of co-authors of Kim Martin i

Fields of papers citing papers by Kim Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kim Martin

Since Specialization
Citations

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