Data Instrumentation
Data Instrumentation is a scholarly contribution that constitutes a systematic method or framework designed to capture, measure, and transform raw data into meaningful inputs for artistic generation, enabling the integration of empirical data within data-driven art practices.
40
Publications
2.2K
Citations
120
Authors
55
Institutions
Publications per year
2017–2026
6
Parents
40
RHESSI Data Analysis Software: Rationale and Methods
R. A. Schwartz, A. Csillaghy, A. K. Tolbert et al. · Solar Physics · 2002 · 149 citations
EDA: EXAFS data analysis software package
Alexei Kuzmin · Physica B Condensed Matter · 1995 · 115 citations
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55

IT University of Copenhagen
Copenhagen, Denmark
4 h-index
4 publications
264 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
4 publications
134 citations
Indiana University – Purdue University Indianapolis
Indianapolis, United States
1 h-index
3 publications
45 citations
Nion (United States)
Kirkland, United States
1 h-index
5 publications
165 citations
Pacific Northwest Research Station
Portland, United States
1 h-index
1 publications
198 citations
Duke University
Durham, United States
1 h-index
5 publications
185 citations

Massey University
Palmerston North, New Zealand
1 h-index
1 publications
27 citations

Pennsylvania State University
State College, United States
1 h-index
1 publications
12 citations
1–8 of 55
2 publications · 46 citations
2
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TSE · 2 publications · 96 citations
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BAMS · 1 publications · 29 citations
1
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1 publications · 77 citations
1
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1 publications · 63 citations
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