Steven W J Nijman

11 papers and 687 indexed citations i.

About

Steven W J Nijman is a scholar working on Artificial Intelligence, Health Informatics and Statistics, Probability and Uncertainty. According to data from OpenAlex, Steven W J Nijman has authored 11 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 8 papers in Health Informatics and 5 papers in Statistics, Probability and Uncertainty. Recurrent topics in Steven W J Nijman’s work include Artificial Intelligence in Healthcare and Education (8 papers), Machine Learning in Healthcare (7 papers) and Meta-analysis and systematic reviews (5 papers). Steven W J Nijman is often cited by papers focused on Artificial Intelligence in Healthcare and Education (8 papers), Machine Learning in Healthcare (7 papers) and Meta-analysis and systematic reviews (5 papers). Steven W J Nijman collaborates with scholars based in The Netherlands, United Kingdom and Germany. Steven W J Nijman's co-authors include Lotty Hooft, Toshihiko Takada, Karel G.M. Moons, Thomas P. A. Debray, Richard D Riley, Paula Dhiman, Johanna AAG Damen, Gary S. Collins, Jie Ma and Ram Bajpai and has published in prestigious journals such as Journal of Clinical Epidemiology, BMJ and BMC Medical Research Methodology.

In The Last Decade

Co-authorship network of co-authors of Steven W J Nijman i

Fields of papers citing papers by Steven W J Nijman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven W J Nijman. 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 Steven W J Nijman. The network helps show where Steven W J Nijman may publish in the future.

Countries citing papers authored by Steven W J Nijman

Since Specialization
Citations

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