Thomas Esch

1.6k citations
34 papers · 1.2k indexed · 1 hit paper · h-index 12

Impact in

Papers in

Thomas Esch

31 papers receiving 1.1k citations

Hit Papers

Deep Learning Earth Observation Classification Using ImageNet Pretrained Networks 2015 · 488 citations
4882015202620182022100200300400

Peers

Thomas Esch
Comparison fields: 5 of 107
  • Media Technology 432
  • Global and Planetary Change 318
  • Environmental Engineering 201
  • Atmospheric Science 232
  • Computer Vision and Pattern Recognition 214
Replace Zhiling Guo with:
Zhiling Guo Japan
Farhad Samadzadegan Iran
Zhiqiang Du China
Jiasong Zhu China
Yehua Sheng China
Thierry Ranchin France
Rui Cao China
Yan Jia China
Wen Liu Japan
Chao‐Hung Lin Taiwan
Thomas Esch relative to Zhiling Guo Japan Zhiling Guo's profile →
Citations per field
00.5×10×20×32×
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Citations per year

Countries citing papers authored by Thomas Esch

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Esch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20258
3 20250
4 20252
5 202411
6 20241
7 20243
8 20232
9 202363
10 202052
11 20198
12 201519
13 2014143
14 201212
15 201187
16 20071
17 20013
18 199118
19 19882
20 19862

About Thomas Esch

Thomas Esch is a scholar working on Media Technology, Automotive Engineering, Transportation, Global and Planetary Change and Fluid Flow and Transfer Processes, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include Fuel Cells and Related Materials (7 papers), Remote-Sensing Image Classification (7 papers), Land Use and Ecosystem Services (5 papers), Electric and Hybrid Vehicle Technologies (4 papers), Impact of Light on Environment and Health (4 papers), Date Palm Research Studies (4 papers), Remote Sensing and Land Use (4 papers) and Advanced Battery Technologies Research (3 papers). The work is most often cited by research in Media Technology (432 citations), Global and Planetary Change (318 citations), Environmental Engineering (201 citations), Atmospheric Science (232 citations) and Computer Vision and Pattern Recognition (214 citations). Thomas Esch has collaborated with scholars based in Germany, Australia and Iran. Frequent co-authors include Uwe Stilla, Dimitrios Marmanis, Mihai Datcu, Stefan Dech, Hannes Taubenböck, Mattia Marconcini, Andreas Felbier, Michael Wiesner, Hermann Johann Heinrich Kux and Tessio Novack. Their work appears in journals such as International Journal of Hydrogen Energy, MTZ - Motortechnische Zeitschrift, SAE technical papers on CD-ROM/SAE technical paper series, Applied Geography and Population Studies.

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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