Tim McInerney

15 papers and 1.5k indexed citations i.

About

Tim McInerney is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biophysics. According to data from OpenAlex, Tim McInerney has authored 15 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 4 papers in Biophysics. Recurrent topics in Tim McInerney’s work include Medical Image Segmentation Techniques (12 papers), Cell Image Analysis Techniques (4 papers) and AI in cancer detection (4 papers). Tim McInerney is often cited by papers focused on Medical Image Segmentation Techniques (12 papers), Cell Image Analysis Techniques (4 papers) and AI in cancer detection (4 papers). Tim McInerney collaborates with scholars based in Canada, United States and South Korea. Tim McInerney's co-authors include Demetri Terzopoulos, Jianming Liang, Ghassan Hamarneh, Martha E. Shenton, Jooyoung Park, Myoung‐Hee Kim, Rafeef Abugharbieh, Muhammad Sharif and Daniel W. Howell and has published in prestigious journals such as Medical Image Analysis, Computerized Medical Imaging and Graphics and Computers & Graphics.

In The Last Decade

Co-authorship network of co-authors of Tim McInerney i

Fields of papers citing papers by Tim McInerney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tim McInerney

Since Specialization
Citations

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