Chad Roller

25 papers receiving 607 citations

Peers

Chad Roller
Comparison fields: 5 of 66
  • Spectroscopy 442
  • Bioengineering 87
  • Atmospheric Science 238
  • Biomedical Engineering 234
  • Electrical and Electronic Engineering 309
Replace Zhechao Qu with:
Zhechao Qu Germany
Qinduan Zhang China
Jürgen Wöllenstein Germany
Ruyue Cui China
Fengxiang Ma China
Lien Hu China
Stephen So United States
Ningwu Liu China
H. Teichert Germany
Arup Lal Chakraborty India
Chad Roller relative to Zhechao Qu Germany Zhechao Qu's profile →
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Citations per year

Countries citing papers authored by Chad Roller

Since Specialization
Citations

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

Fields of papers citing papers by Chad Roller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chad Roller, 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 Chad Roller Line = papers co-authored together Chad Roller 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 2004156
2 200269
3 200457
4 200649
5 200244
6 200443
7 200739
8 200831
9 200528
10 200327
11 200616
12 200314
13 200712
14 201512
15 20169
16 20079
17 20057
18 20057
19
Use Of The Allan Variance For Characterizing Reservoir Heterogeneity
20094
20 20072

About Chad Roller

Chad Roller is a scholar working on Spectroscopy, Atmospheric Science, Biomedical Engineering, Electrical and Electronic Engineering and Global and Planetary Change, having authored 27 papers that have together received 640 indexed citations. Recurring topics across this work include Spectroscopy and Laser Applications (22 papers), Atmospheric Ozone and Climate (10 papers), Advanced Chemical Sensor Technologies (10 papers), Laser Design and Applications (6 papers), Atmospheric and Environmental Gas Dynamics (6 papers), Hydraulic Fracturing and Reservoir Analysis (4 papers), Analytical Chemistry and Sensors (3 papers) and Hydrocarbon exploration and reservoir analysis (3 papers). The work is most often cited by research in Spectroscopy (442 citations), Bioengineering (87 citations), Atmospheric Science (238 citations), Biomedical Engineering (234 citations) and Electrical and Electronic Engineering (309 citations). Chad Roller has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Frank K. Tittel, R. F. Curl, Anatoliy A. Kosterev, Khosrow Namjou, Yury A. Bakhirkin, Patrick J. McCann, Damien Weidmann, Stephen So, Adam Mock and Gerard Wysocki. Their work appears in journals such as Applied Physics B, Optics Letters, Isotopes in Environmental and Health Studies, IEEE Circuits and Devices Magazine and Analytical Chemistry.

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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