Leland McInnes

About

Leland McInnes is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Leland McInnes has authored 9 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Artificial Intelligence and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Leland McInnes’s work include Cell Image Analysis Techniques (2 papers), Single-cell and spatial transcriptomics (2 papers) and Advanced Clustering Algorithms Research (2 papers). Leland McInnes is often cited by papers focused on Cell Image Analysis Techniques (2 papers), Single-cell and spatial transcriptomics (2 papers) and Advanced Clustering Algorithms Research (2 papers). Leland McInnes collaborates with scholars based in United States, Germany and Hong Kong. Leland McInnes's co-authors include John Healy, Lukas Großberger, Nathaniel Saul, Florent Ginhoux, Evan W. Newell, Étienne Becht, Charles‐Antoine Dutertre, Immanuel Kwok, Lai Guan Ng and Timothy Q. Gentner and has published in prestigious journals such as Nature Biotechnology, Neural Computation and Solar Physics.

In The Last Decade

Co-authorship network of co-authors of Leland McInnes i

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Fields of papers citing papers by Leland McInnes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Leland McInnes

Since Specialization

Citations

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