Martin Sudmanns

979 citations
37 papers · 635 indexed · h-index 15
Topics
Geographic Information Systems Studies (10 papers)Data Management and Algorithms (8 papers)Remote-Sensing Image Classification (6 papers)
Journals
SHILAP Revista de lepidopterologíaThe Science of The Total EnvironmentRemote Sensing of Environment
Partner nations
AustriaItalyGermany

In The Last Decade

Martin Sudmanns

32 papers receiving 612 citations

Peers

Martin Sudmanns
Comparison fields: 5 of 89
  • Ecology 187
  • Global and Planetary Change 176
  • Artificial Intelligence 147
  • Media Technology 140
  • Environmental Engineering 102
Replace Xicheng Tan with:
Xicheng Tan China
Karine Reis Ferreira Brazil
Xiaochuang Yao China
Tobias Sturn Austria
Jochen Schiewe Germany
Alaitz Zabala Spain
Hannah Augustin Austria
P.C. Smits Italy
Meixia Deng United States
Denisa Rodila Romania
Martin Sudmanns relative to Xicheng Tan China Xicheng Tan's profile →
Citations per field
00.5×1.5×
Xicheng Tan · 1×
Citations per year

Countries citing papers authored by Martin Sudmanns

Since Specialization
Citations

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

Fields of papers citing papers by Martin Sudmanns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Sudmanns

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Sudmanns. A scholar is included among the top collaborators of Martin Sudmanns based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Martin Sudmanns. Martin Sudmanns is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 1
5 0
6 14
7 14
8 27
9 50
10 3
11 5
12 2
13 19
14 20
15 30
16
The Greenland-Paradox: Time Series Analyses in the Big Earth Observation Data Era
1
17 22
18 23
19 28
20
Urban Emotions – Tools of Integrating People’s Perception into Urban Planning
18

About Martin Sudmanns

Martin Sudmanns is a scholar working on Geography, Planning and Development, Signal Processing and Media Technology, having authored 37 papers that have together received 635 indexed citations. Recurring topics across this work include Geographic Information Systems Studies (10 papers), Data Management and Algorithms (8 papers) and Remote-Sensing Image Classification (6 papers). The work is most often cited by research in Media Technology (140 citations), Geography, Planning and Development (78 citations) and Ecological Modeling (38 citations). Martin Sudmanns has collaborated with scholars based in Austria, Italy and Germany. Frequent co-authors include Dirk Tiede, Stefan Lang, Hannah Augustin, Andrea Baraldi, Thomas Blaschke, Helena Bergstedt, Omid Ghorbanzadeh, L. Wendt, Peter Zeile and Günther Sagl. Their work appears in journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Remote Sensing of Environment.

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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