Michael Farmer

24 papers and 204 indexed citations i.

About

Michael Farmer is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Michael Farmer has authored 24 papers receiving a total of 204 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 5 papers in Media Technology. Recurrent topics in Michael Farmer’s work include Advanced Image and Video Retrieval Techniques (6 papers), Image Retrieval and Classification Techniques (5 papers) and Medical Image Segmentation Techniques (4 papers). Michael Farmer is often cited by papers focused on Advanced Image and Video Retrieval Techniques (6 papers), Image Retrieval and Classification Techniques (5 papers) and Medical Image Segmentation Techniques (4 papers). Michael Farmer collaborates with scholars based in United States, Taiwan and Australia. Michael Farmer's co-authors include Anil K. Jain, Achin Jain, Anil K. Jain, David R. Barton, Paul L. Bishop, P. A. Jones, J. P. Salini, D.T. Brewer, Elizabeth Wood and Chun Yuan and has published in prestigious journals such as Environmental Pollution, IEEE Transactions on Image Processing and IEEE Transactions on Vehicular Technology.

In The Last Decade

Co-authorship network of co-authors of Michael Farmer i

Fields of papers citing papers by Michael Farmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michael Farmer

Since Specialization
Citations

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