Daniel Heinz

2.6k citations
32 papers · 1.9k indexed · 1 hit paper · h-index 9

Daniel Heinz

30 papers receiving 1.8k citations

Hit Papers

Fully constrained least squares linear spectral mixture a...200120262009201720014008001.2k

Peers

Daniel Heinz
Comparison fields: 5 of 105
  • Media Technology 1.5k
  • Atmospheric Science 905
  • Ecology 317
  • Artificial Intelligence 246
  • Computer Vision and Pattern Recognition 190
Replace David W. Messinger with:
David W. Messinger United States
James D. B. Nelson United Kingdom
Tao Zhan China
Daniele Cerra Germany
Lei Ding China
Ke Wu China
Benjamin Bischke Germany
Dalton Lunga United States
Patrick Helber Germany
Daniel Heinz relative to David W. Messinger United States David W. Messinger's profile →
Citations per field
00.5×3.1×
David W. Messinger · 1×
Citations per year

Countries citing papers authored by Daniel Heinz

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Heinz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Heinz

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Heinz. A scholar is included among the top collaborators of Daniel Heinz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Heinz. Daniel Heinz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 10
2 8
3 3
4 2
5 1
6 7
7 4
8 27
9 13
10
Jugendmedienschutz und Digitale Spiele
2
11 1
12 41
13 6
14 1
15 3
16 1
17 55
18 4
19
Fully constrained least squares linear spectral mixture analysis method for material quantification in hyperspectral imagerybreakdown →
1361
20 2

About Daniel Heinz

Daniel Heinz is a scholar working on Media Technology, Marketing and Analytical Chemistry, having authored 32 papers that have together received 1.9k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (10 papers), Service and Product Innovation (6 papers) and Spectroscopy and Chemometric Analyses (5 papers). The work is most often cited by research in Media Technology (1.5k citations), Atmospheric Science (905 citations) and Analytical Chemistry (183 citations). Daniel Heinz has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Chein‐I Chang, Chein‐I Chang, Mark L. Althouse, David Binkley, Dawn Lawrie, Gerhard Satzger, Carina Benz, Alexander Stocker, Christof Weinhardt and Lothar Ratschbacher. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Journal of the Association for Information Systems and IEEE Sensors Journal.

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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