Daniel E. Austin

1.9k citations
71 papers · 1.4k · h-index 20

Impact in

Papers in

Daniel E. Austin

67 papers receiving 1.4k citations

Peers

Daniel E. Austin
Comparison fields: 5 of 106
  • Spectroscopy 813
  • Bioengineering 128
  • Analytical Chemistry 205
  • Ecology, Evolution, Behavior and Systematics 268
  • Food Science 148
Replace Philipp Sulzer with:
Philipp Sulzer Austria
J. A. Stone Canada
D. J. Douglas Canada
S. Dagan Israel
G. Hanel Austria
B. W. Smith United States
Dalton T. Snyder United States
Charles D. Merritt United States
Stephen A. Lammert United States
Erkinjon G. Nazarov United States
Daniel E. Austin relative to Philipp Sulzer Austria Philipp Sulzer's profile →
Citations per field
00.5×6.0×
Philipp Sulzer · 1×
Citations per year

Countries citing papers authored by Daniel E. Austin

Since Specialization
Citations

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

Fields of papers citing papers by Daniel E. Austin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel E. Austin. 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 Daniel E. Austin. The network helps show where Daniel E. Austin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998335
2 2004113
3 2007111
4 201762
5 200845
6 201441
7 201238
8 201434
9 201134
10 201132
11 201332
12 201029
13 201628
14 201028
15 201126
16 200725
17 200925
18 201424
19 201022
20 201020

About Daniel E. Austin

Daniel E. Austin is a scholar working on Spectroscopy, Biomedical Engineering, Analytical Chemistry, Electrical and Electronic Engineering and Bioengineering, having authored 71 papers that have together received 1.4k indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (45 papers), Analytical chemistry methods development (17 papers), Microfluidic and Capillary Electrophoresis Applications (11 papers), Analytical Chemistry and Sensors (11 papers), Electrohydrodynamics and Fluid Dynamics (7 papers), Pesticide Residue Analysis and Safety (7 papers), Astro and Planetary Science (6 papers) and Pharmacological Effects and Assays (6 papers). The work is most often cited by research in Spectroscopy (813 citations), Bioengineering (128 citations), Analytical Chemistry (205 citations), Ecology, Evolution, Behavior and Systematics (268 citations) and Food Science (148 citations). Daniel E. Austin has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Aaron R. Hawkins, Ying Peng, Brett Hansen, Zhiping Zhang, Yuan Tian, Ailin Li, Matthew G. Blain, Alan L. Rockwood, Milton L. Lee and Samuel E. Tolley. Their work appears in journals such as International Journal of Mass Spectrometry, Journal of the American Society for Mass Spectrometry, Review of Scientific Instruments, Analytical Chemistry and Rapid Communications in Mass Spectrometry.

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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