Charles Blaha

23 papers receiving 328 citations

Peers

Charles Blaha
Comparison fields: 5 of 71
  • Statistics, Probability and Uncertainty 47
  • Nephrology 27
  • Biomedical Engineering 152
  • Radiology, Nuclear Medicine and Imaging 53
  • Endocrinology, Diabetes and Metabolism 33
Replace Yun Seok Kim with:
Yun Seok Kim South Korea
Zeinab Hajjarian United States
Werner Hoffmann Germany
T. AZUMA Japan
Dželaludin Junuzović Bosnia and Herzegovina
Haruyuki Kinoshita Japan
Chee Hau Leow United Kingdom
Erica M. Cherry United States
Hongxia Li China
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Citations per field
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Yun Seok Kim · 1×
Citations per year

Countries citing papers authored by Charles Blaha

Since Specialization
Citations

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

Fields of papers citing papers by Charles Blaha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Charles Blaha, 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 Charles Blaha Line = papers co-authored together Charles Blaha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201647
2 201945
3 200443
4 201741
5
Thin Film Heat Flux Sensor of Improved Design
200228
6 202121
7 201715
8 202311
9 202111
10 201011
11 202010
12 20027
13 20047
14 20067
15 20026
16 20224
17 20224
18 20004
19 20074
20 20233

About Charles Blaha

Charles Blaha is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Surgery, Statistics, Probability and Uncertainty and Endocrinology, Diabetes and Metabolism, having authored 24 papers that have together received 335 indexed citations. Recurring topics across this work include Advanced Sensor Technologies Research (7 papers), Scientific Measurement and Uncertainty Evaluation (4 papers), Diabetes Management and Research (3 papers), Silicon Carbide Semiconductor Technologies (3 papers), Pancreatic function and diabetes (3 papers), Diabetes and associated disorders (2 papers), Membrane Separation Technologies (2 papers) and Boron Compounds in Chemistry (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (47 citations), Nephrology (27 citations), Biomedical Engineering (152 citations), Radiology, Nuclear Medicine and Imaging (53 citations) and Endocrinology, Diabetes and Metabolism (33 citations). Charles Blaha has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include John D. Wrbanek, Shuvo Roy, Nathan Wright, Gustave C. Fralick, William H. Fissell, Willieford Moses, Serene C. Farmer, Ali Sayir, José María Faci González and Robert S. Okojie. Their work appears in journals such as Bioengineering & Translational Medicine, Artificial Organs, Nature Communications, Neuroscience and Toxins.

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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