M. J. Vrhel

1.5k total citations
46 papers, 1.1k citations indexed

About

M. J. Vrhel is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Media Technology. According to data from OpenAlex, M. J. Vrhel has authored 46 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 26 papers in Atomic and Molecular Physics, and Optics and 8 papers in Media Technology. Recurrent topics in M. J. Vrhel's work include Color Science and Applications (26 papers), Image and Signal Denoising Methods (18 papers) and Image Enhancement Techniques (18 papers). M. J. Vrhel is often cited by papers focused on Color Science and Applications (26 papers), Image and Signal Denoising Methods (18 papers) and Image Enhancement Techniques (18 papers). M. J. Vrhel collaborates with scholars based in United States, Switzerland and South Korea. M. J. Vrhel's co-authors include H.J. Trussell, L. Iwan, Ron Gershon, Eli Saber, Benes L. Trus, John T. Schiller, Heather L. Greenstone, Richard B.S. Roden, Frank P. Booy and Michaël Unser and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.

In The Last Decade

M. J. Vrhel

43 papers receiving 944 citations

Peers

M. J. Vrhel
Comparison fields: 5 of 106
  • Atomic and Molecular Physics, and Optics 620
  • Computer Vision and Pattern Recognition 574
  • Media Technology 176
  • Social Psychology 157
  • Cognitive Neuroscience 138
Replace Shoji Tominaga with:
Shoji Tominaga Japan
Eva M. Valero Spain
Charles Poynton United Kingdom
José A. Díaz Spain
Peter G. J. Barten Switzerland
Matthias B. Hullin Germany
Yitzhak Yitzhaky Israel
Ping Yang China
Katherine Creath United States
Zhenrong Zheng China
Shoji Tominaga Japan View profile →
Citations per field, relative to M. J. Vrhel
M. J. Vrhel · 1×
Citations per year, relative to M. J. Vrhel
M. J. Vrhel · 1×

Countries citing papers authored by M. J. Vrhel

Since Specialization
Citations

This map shows the geographic impact of M. J. Vrhel'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 M. J. Vrhel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. J. Vrhel more than expected).

Fields of papers citing papers by M. J. Vrhel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. J. Vrhel. 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 M. J. Vrhel. The network helps show where M. J. Vrhel may publish in the future.

Co-authorship network of co-authors of M. J. Vrhel

This figure shows the co-authorship network connecting the top 25 collaborators of M. J. Vrhel. A scholar is included among the top collaborators of M. J. Vrhel 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 M. J. Vrhel. M. J. Vrhel 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 2
2
An LED based spectrophotometric instrument ∗
1
3 20
4 6
5 0
6 3
7 10
8 1
9 2
10 63
11 18
12 14
13 158
14 24
15 1
16
Fractal dimension estimation using the fast continuous wavelet transform.
1
17 49
18 81
19 3
20 113

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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