Michael E. Schaepman

28.5k citations
398 papers · 17.7k indexed · 9 hit papers · h-index 63

Michael E. Schaepman

380 papers receiving 17.1k citations

Hit Papers

Environmental science: Agree on biodiversity me...3022006202620122019250500750

Peers

Michael E. Schaepman
Comparison fields: 5 of 162
  • Ecological Modeling 2.5k
  • Ecology 10.7k
  • Environmental Engineering 5.9k
  • Global and Planetary Change 7.5k
  • Media Technology 1.6k
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Citations per year

Countries citing papers authored by Michael E. Schaepman

Since Specialization
Citations

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

Fields of papers citing papers by Michael E. Schaepman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 202311
3 202311
4 20234
5 202125
6 20202
7 201913
8 20197
9 201917
10 201912
11 201817
12 201785
13 201791
14 201744
15 201683
16 201611
17 2015207
18 201220
19
Investigation on leaf spectral reflectance of most important species of Caspian forests using field Spectroradiometry
20092
20
Understanding Vegetation Response to Climate Variability From Space: Recent Advances Towards the SPECTRA Mission
20031

About Michael E. Schaepman

Michael E. Schaepman is a scholar working on Ecological Modeling, Ecology and Environmental Engineering, having authored 398 papers that have together received 17.7k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (221 papers), Remote Sensing and LiDAR Applications (95 papers), Land Use and Ecosystem Services (80 papers), Calibration and Measurement Techniques (66 papers), Species Distribution and Climate Change (58 papers), Remote-Sensing Image Classification (38 papers), Plant Water Relations and Carbon Dynamics (37 papers) and Atmospheric and Environmental Gas Dynamics (37 papers). The work is most often cited by research in Ecological Modeling (2.5k citations), Ecology (10.7k citations) and Environmental Engineering (5.9k citations). Michael E. Schaepman has collaborated with scholars based in Switzerland, Netherlands and United States. Frequent co-authors include Rogier de Jong, J.G.P.W. Clevers, Sytze de Bruin, David Dent, Mathias Kneubühler, Felix Morsdorf, Gabriela Schaepman‐Strub, Zbyněk Malenovský, Allard de Wit and R. Zurita‐Milla. Their work appears in journals such as Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Remote Sensing and International Journal of Remote Sensing.

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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