Jacob Scharcanski

91 papers and 1.4k indexed citations i.

About

Jacob Scharcanski is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Jacob Scharcanski has authored 91 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Computer Vision and Pattern Recognition, 17 papers in Artificial Intelligence and 12 papers in Signal Processing. Recurrent topics in Jacob Scharcanski’s work include Image Retrieval and Classification Techniques (16 papers), Image and Signal Denoising Methods (14 papers) and Medical Image Segmentation Techniques (12 papers). Jacob Scharcanski is often cited by papers focused on Image Retrieval and Classification Techniques (16 papers), Image and Signal Denoising Methods (14 papers) and Medical Image Segmentation Techniques (12 papers). Jacob Scharcanski collaborates with scholars based in Brazil, Canada and United States. Jacob Scharcanski's co-authors include Daniel Welfer, Diane Ruschel Marinho, Pablo G. Cavalcanti, Cláudio Rosito Jung, Alexander Wong, Paul Fieguth, C. T. J. Dodson, Diego H. Milone, A.N. Venetsanopoulos and Maciel Zortea and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Jacob Scharcanski i

Fields of papers citing papers by Jacob Scharcanski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jacob Scharcanski

Since Specialization
Citations

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