R. Haydn

501 citations
10 papers · 400 · h-index 5

Impact in

Papers in

R. Haydn

9 papers receiving 356 citations

Peers

R. Haydn
Comparison fields: 5 of 49
  • Media Technology 220
  • Ecological Modeling 31
  • Ecology 134
  • Computer Vision and Pattern Recognition 98
  • Environmental Engineering 68
Replace Andreas Eckardt with:
Andreas Eckardt Germany
Josée Lévesque Canada
C. Segal United States
Lixin Sun Canada
Giovanni Marchisio United States
J -M Dubois Canada
Ko Fung Canada
Aliaksei Makarau Germany
Harry N. Gross United States
Sascha Klonus Germany
R. Haydn relative to Andreas Eckardt Germany Andreas Eckardt's profile →
Citations per field
00.5×2.5×
Andreas Eckardt · 1×
Citations per year

Countries citing papers authored by R. Haydn

Since Specialization
Citations

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

Fields of papers citing papers by R. Haydn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside R. Haydn, 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 R. Haydn Line = papers co-authored together R. Haydn links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2007161
2
Application of the IHS color transform to the processing of multisensor data and image enhancement
1982151
3 200662
4 198610
5 20064
6
A Concept for the Processing and Display of Thematic Mapper Data
19844
7
The Advanced Hyperspectral Mission EnMAP - Germany Prepares for the Future
20043
8 20063
9
Contribution of the Indian IRS Program to European Data Requirements Through Euromap
20101
10 19741

About R. Haydn

R. Haydn is a scholar working on Artificial Intelligence, Ecology, Aerospace Engineering, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics, having authored 10 papers that have together received 400 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (2 papers), Calibration and Measurement Techniques (2 papers), Geochemistry and Geologic Mapping (2 papers), Advanced Image Fusion Techniques (1 paper), Color Science and Applications (1 paper), Atmospheric and Environmental Gas Dynamics (1 paper), Remote-Sensing Image Classification (1 paper) and Spacecraft Design and Technology (1 paper). The work is most often cited by research in Media Technology (220 citations), Ecological Modeling (31 citations), Ecology (134 citations), Computer Vision and Pattern Recognition (98 citations) and Environmental Engineering (68 citations). R. Haydn has collaborated with scholars based in Germany. Frequent co-authors include J. Henkel, G. Schreier, T. Stuffler, Stefan Hofer, Andreas Mueller, Heike Bach, Andreas Eckardt, Hannes Kaufmann, Sabine Chabrillat and Karl Segl. Their work appears in journals such as Geoforum, Acta Astronautica, International Journal of Remote Sensing, 57th International Astronautical Congress and ESASP.

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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