Edward Muka

523 citations
27 papers · 414 · h-index 12

Impact in

Papers in

Edward Muka

27 papers receiving 391 citations

Peers

Edward Muka
Comparison fields: 5 of 73
  • Computer Vision and Pattern Recognition 133
  • Radiology, Nuclear Medicine and Imaging 103
  • Pulmonary and Respiratory Medicine 121
  • Media Technology 26
  • Computer Graphics and Computer-Aided Design 10
Replace Sanjiv S. Samant with:
Sanjiv S. Samant United States
Jacob Beutel United States
Derek C. Stanford United States
Hsuan-Ting Chang Taiwan
Sundar C. Amartur United States
Jiazheng Shi United States
G. McLennan United States
Ruiming Cao United States
Lingzhi Hu China
Masahito Aoyama Japan
Edward Muka relative to Sanjiv S. Samant United States Sanjiv S. Samant's profile →
Citations per field
00.5×1.5×1.9×
Sanjiv S. Samant · 1×
Citations per year

Countries citing papers authored by Edward Muka

Since Specialization
Citations

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

Fields of papers citing papers by Edward Muka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Edward Muka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Edward Muka Line = papers co-authored together Edward Muka links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197879
2 200073
3 200044
4 200330
5 200423
6 199416
7 199916
8 199215
9 199715
10 199313
11 199812
12 199511
13 19929
14 19968
15 20027
16 20027
17 19907
18 19784
19 19974
20 19983

About Edward Muka

Edward Muka is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Biomedical Engineering and Atomic and Molecular Physics, and Optics, having authored 27 papers that have together received 414 indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (17 papers), Advanced X-ray and CT Imaging (5 papers), Advanced Data Compression Techniques (5 papers), Radiation Dose and Imaging (5 papers), Image and Video Quality Assessment (4 papers), Color Science and Applications (3 papers), Radiology practices and education (3 papers) and Visual perception and processing mechanisms (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (133 citations), Radiology, Nuclear Medicine and Imaging (103 citations), Pulmonary and Respiratory Medicine (121 citations), Media Technology (26 citations) and Computer Graphics and Computer-Aided Design (10 citations). Edward Muka has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Richard M. Slone, Thomas K. Pilgram, Bruce R. Whiting, David H. Foos, G. James Blaine, Michael Flynn, Hartwig Blume, R. Gilbert Jost, Scott Daly and Paul T. P. Ho. Their work appears in journals such as Journal of Digital Imaging, Radiology, Clinical Chemistry, Medical Physics and IEEE Journal on Selected Areas in Communications.

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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