Thomas Jarmer

1.5k citations
57 papers · 1.2k · h-index 17

Impact in

Papers in

Thomas Jarmer

56 papers receiving 1.2k citations

Peers

Thomas Jarmer
Comparison fields: 5 of 88
  • Environmental Engineering 661
  • Ecology 601
  • Analytical Chemistry 206
  • Soil Science 184
  • Media Technology 100
Replace Fabio Castaldi with:
Fabio Castaldi Italy
Asa Gholizadeh Czechia
Henning Buddenbaum Germany
Nathalie Gorretta France
Marcos Rafael Nanni Brazil
Wenting Han China
R. M. Patel Canada
Rubens Augusto Camargo Lamparelli Brazil
Anton Thomsen Denmark
Reddy Pullanagari New Zealand
Thomas Jarmer relative to Fabio Castaldi Italy Fabio Castaldi's profile →
Citations per field
00.5×1.5×
Fabio Castaldi · 1×
Citations per year

Countries citing papers authored by Thomas Jarmer

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Jarmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003236
2 2018134
3 2010126
4 201583
5 200965
6 201558
7 200751
8
Retrieval of wheat bio - physical attributes from hyperspectral data and SAILH + PROSPECT radiative transfer model
200335
9 202229
10 200827
11 201624
12 202022
13 201320
14 201620
15 201519
16
Spectrometric estimation of leaf pigments in Norway spruce needles using band - depth analysis, partial least - square regression and inversion of a conifer leaf model
200319
17
Spectroradiometric determination of wheat bio-physical variables. Comparison of different empirical-statistical approaches
200418
18 201915
19 201114
20 201013

About Thomas Jarmer

Thomas Jarmer is a scholar working on Ecology, Environmental Engineering, Plant Science, Artificial Intelligence and Analytical Chemistry, having authored 57 papers that have together received 1.2k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (38 papers), Soil Geostatistics and Mapping (16 papers), Remote Sensing and LiDAR Applications (13 papers), Geochemistry and Geologic Mapping (12 papers), Leaf Properties and Growth Measurement (11 papers), Spectroscopy and Chemometric Analyses (10 papers), Remote-Sensing Image Classification (8 papers) and Smart Agriculture and AI (7 papers). The work is most often cited by research in Environmental Engineering (661 citations), Ecology (601 citations), Analytical Chemistry (206 citations), Soil Science (184 citations) and Media Technology (100 citations). Thomas Jarmer has collaborated with scholars based in Germany, Israel and United States. Frequent co-authors include Bastian Siegmann, Thomas Udelhoven, Christoph Emmerling, Wolfgang Schwanghart, Dieter Trautz, Insa Kühling, Michael Vohland, Willy Werner, Björn Waske and Nils Aschenbruck. Their work appears in journals such as Remote Sensing, Sensors, Computers and Electronics in Agriculture, International Journal of Remote Sensing and IEEE Geoscience and Remote Sensing Letters.

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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