Martin Bachmann

2.9k citations
103 papers · 1.1k · h-index 17

Impact in

Papers in

Martin Bachmann

100 papers receiving 1.0k citations

Peers

Martin Bachmann
Comparison fields: 5 of 80
  • Media Technology 257
  • Environmental Engineering 366
  • Ecological Modeling 76
  • Ecology 431
  • Global and Planetary Change 272
Replace Christian Rogaß with:
Christian Rogaß Germany
Maximilian Brell Germany
A. Dyk Canada
Giovanni Laneve Italy
Y. E. Shimabukuro Brazil
Raphaël d’Andrimont Italy
Laurence Hubert‐Moy France
Federico Santini Italy
Magdalena Main-Knorn Germany
Bringfried Pflug Germany
Martin Bachmann relative to Christian Rogaß Germany Christian Rogaß's profile →
Citations per field
00.5×1.5×1.8×
Christian Rogaß · 1×
Citations per year

Countries citing papers authored by Martin Bachmann

Since Specialization
Citations

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

Fields of papers citing papers by Martin Bachmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019110
2 201276
3 200662
4 201261
5 201156
6 200646
7 202141
8 202335
9 201135
10 201530
11 202030
12 202129
13 202325
14 201524
15 201619
16 201018
17 201516
18 201415
19 201415
20 201115

About Martin Bachmann

Martin Bachmann is a scholar working on Artificial Intelligence, Aerospace Engineering, Ecology, Media Technology and Global and Planetary Change, having authored 103 papers that have together received 1.1k indexed citations. Recurring topics across this work include Geochemistry and Geologic Mapping (41 papers), Calibration and Measurement Techniques (37 papers), Remote Sensing in Agriculture (30 papers), Remote-Sensing Image Classification (29 papers), Infrared Target Detection Methodologies (11 papers), Satellite Image Processing and Photogrammetry (11 papers), Atmospheric and Environmental Gas Dynamics (10 papers) and Soil Geostatistics and Mapping (10 papers). The work is most often cited by research in Media Technology (257 citations), Environmental Engineering (366 citations), Ecological Modeling (76 citations), Ecology (431 citations) and Global and Planetary Change (272 citations). Martin Bachmann has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Rudolf Richter, Andreas Müller, Uta Heiden, Stefan Dech, Hermann Kaufmann, A. Bayer, Rupert Müller, Stefanie Holzwarth, Derek Rogge and Martin Wegmann. Their work appears in journals such as Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, International Journal of Remote Sensing, European Journal of Forest Research and International Journal of Applied Earth Observation and Geoinformation.

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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