Scott Elrod

1.3k citations
22 papers · 1.0k · h-index 12

Impact in

Papers in

Scott Elrod

22 papers receiving 891 citations

Peers

Scott Elrod
Comparison fields: 5 of 109
  • Human-Computer Interaction 276
  • Information Systems and Management 84
  • Structural Biology 16
  • Physical and Theoretical Chemistry 92
  • Computer Vision and Pattern Recognition 168
Replace David J. Ward with:
David J. Ward United Kingdom
Vincent M. Stanford United States
Masao Sugi Japan
Harald Schumny Germany
Pilar Herrero Spain
Hiroaki Kimura Japan
David Coleman United States
Olivier Pfeiffer Germany
Felix A. Faber United Kingdom
Masashi Kawaguchi Japan
Scott Elrod relative to David J. Ward United Kingdom David J. Ward's profile →
Citations per field
00.5×11.5×
David J. Ward · 1×
Citations per year

Countries citing papers authored by Scott Elrod

Since Specialization
Citations

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

Fields of papers citing papers by Scott Elrod

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992320
2 1989183
3 2004129
4 198479
5 199375
6 198572
7 198530
8 200426
9 198619
10 200315
11 200213
12 201511
13 20228
14 19817
15 19957
16 20034
17 19851
18 19901
19 20011
20 20161

About Scott Elrod

Scott Elrod is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Atomic and Molecular Physics, and Optics, Condensed Matter Physics and Automotive Engineering, having authored 22 papers that have together received 1.0k indexed citations. Recurring topics across this work include Innovative Microfluidic and Catalytic Techniques Innovation (7 papers), Microfluidic and Bio-sensing Technologies (5 papers), Physics of Superconductivity and Magnetism (5 papers), Surface and Thin Film Phenomena (4 papers), Electrowetting and Microfluidic Technologies (4 papers), Electrohydrodynamics and Fluid Dynamics (3 papers), Advanced Chemical Physics Studies (3 papers) and Force Microscopy Techniques and Applications (2 papers). The work is most often cited by research in Human-Computer Interaction (276 citations), Information Systems and Management (84 citations), Structural Biology (16 citations), Physical and Theoretical Chemistry (92 citations) and Computer Vision and Pattern Recognition (168 citations). Scott Elrod has collaborated with scholars based in United States and France. Frequent co-authors include C. F. Quate, Alex de Lozanne, B. Hadimioglu, Rich Gold, John Tang, William C. Janssen, Richard Bruce, Ken Pier, Frank G. Halasz and David Theo Goldberg. Their work appears in journals such as Review of Scientific Instruments, SLAS DISCOVERY, Physical Review Letters, Applied Physics Letters and Wireless Personal 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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