Jacob Scharcanski

2.9k total citations
116 papers, 2.1k citations indexed

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 116 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Computer Vision and Pattern Recognition, 25 papers in Artificial Intelligence and 16 papers in Signal Processing. Recurrent topics in Jacob Scharcanski's work include Image Retrieval and Classification Techniques (20 papers), Video Surveillance and Tracking Methods (15 papers) and Medical Image Segmentation Techniques (14 papers). Jacob Scharcanski is often cited by papers focused on Image Retrieval and Classification Techniques (20 papers), Video Surveillance and Tracking Methods (15 papers) and Medical Image Segmentation Techniques (14 papers). Jacob Scharcanski collaborates with scholars based in Brazil, Canada and United States. Jacob Scharcanski's co-authors include Pablo G. Cavalcanti, Daniel Welfer, Diane Ruschel Marinho, 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

Jacob Scharcanski

111 papers receiving 1.9k citations

Peers

Jacob Scharcanski
Comparison fields: 5 of 131
  • Computer Vision and Pattern Recognition 1.1k
  • Artificial Intelligence 515
  • Radiology, Nuclear Medicine and Imaging 468
  • Oncology 434
  • Ophthalmology 315
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Citations per field, relative to Jacob Scharcanski
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Citations per year, relative to Jacob Scharcanski
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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).

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.

Co-authorship network of co-authors of Jacob Scharcanski

This figure shows the co-authorship network connecting the top 25 collaborators of Jacob Scharcanski. A scholar is included among the top collaborators of Jacob Scharcanski based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jacob Scharcanski. Jacob Scharcanski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 3
4 4
5 7
6 3
7 2
8 19
9 8
10 107
11 7
12 116
13 131
14 65
15 125
16 18
17 3
18 9
19 7
20
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3

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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