Charles D. Ehrlich

40 papers receiving 328 citations

Peers

Charles D. Ehrlich
Comparison fields: 5 of 65
  • Statistics, Probability and Uncertainty 200
  • Surfaces, Coatings and Films 26
  • Bioengineering 19
  • Biomedical Engineering 144
  • Building and Construction 40
Replace In-Mook Choi with:
In-Mook Choi South Korea
Jianping Sun China
R.S. Jones United Kingdom
B. M. Grafov Russia
J. P. Hubner United States
Wenbo Han China
David M. Scott United States
Elmar Baumhögger Germany
Fei Teng China
Charles D. Ehrlich relative to In-Mook Choi South Korea In-Mook Choi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Charles D. Ehrlich

Since Specialization
Citations

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

Fields of papers citing papers by Charles D. Ehrlich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Charles D. Ehrlich, 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 D. Ehrlich Line = papers co-authored together Charles D. Ehrlich links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199268
2 198744
3 200228
4 200726
5 201423
6 197815
7 198913
8 199813
9 199411
10 199811
11 199310
12 19929
13 19868
14
Simulating the operation of photosensor-based lighting controls
20017
15 19937
16 19997
17 20186
18 19776
19 19856
20 19865

About Charles D. Ehrlich

Charles D. Ehrlich is a scholar working on Statistics, Probability and Uncertainty, Biomedical Engineering, Computer Networks and Communications, Mechanics of Materials and Electrical and Electronic Engineering, having authored 40 papers that have together received 380 indexed citations. Recurring topics across this work include Scientific Measurement and Uncertainty Evaluation (28 papers), Advanced Sensor Technologies Research (16 papers), Sensor Technology and Measurement Systems (8 papers), Flow Measurement and Analysis (7 papers), Building Energy and Comfort Optimization (3 papers), Integrated Circuits and Semiconductor Failure Analysis (3 papers), Radioactive Decay and Measurement Techniques (3 papers) and Electron and X-Ray Spectroscopy Techniques (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (200 citations), Surfaces, Coatings and Films (26 citations), Bioengineering (19 citations), Biomedical Engineering (144 citations) and Building and Construction (40 citations). Charles D. Ehrlich has collaborated with scholars based in United States, Italy and India. Frequent co-authors include C. R. Tilford, René Dybkær, K. E. McCulloh, E. W. Plummer, Wolfgang Wöger, James W. Schmidt, Judy Lai, K.L. Revzan, Stanley D. Rasberry and Konstantinos Papamichael. Their work appears in journals such as Metrologia, Journal of Vacuum Science & Technology A Vacuum Surfaces and Films, Journal of Research of the National Institute of Standards and Technology, Review of Scientific Instruments and Measurement Science and Technology.

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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