Thomas Stark

57 papers receiving 1.1k citations

Hit Papers

Semantic segmentation of slums in satellite images using transfer learning on fully convolutional neural networks 2019 · 268 citations
268201920262021202350100150200250

Peers

Thomas Stark
Comparison fields: 5 of 150
  • Sensory Systems 167
  • Media Technology 173
  • Speech and Hearing 125
  • Otorhinolaryngology 79
  • Cognitive Neuroscience 270
Replace David E. Miller with:
David E. Miller United States
Kevin Green United States
Robert Stone United Kingdom
Luigi Maffei Italy
Arianna Astolfi Italy
Juergen Tonndorf United States
Weiping Wen China
Gérard Subsol France
Andreas Neumann Germany
Richard L. Christiansen United States
Thomas Stark relative to David E. Miller United States David E. Miller's profile →
Citations per field
00.5×10×15×19.2×
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Citations per year

Countries citing papers authored by Thomas Stark

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Stark

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Semantic segmentation of slums in satellite images using transfer learning on fully convolutional neural networks
Hit paper breakdown →
2019268
2 200879
3 201361
4 200956
5 201655
6 202153
7 202051
8 201246
9 201245
10 201739
11 200839
12 201132
13 201530
14 201924
15 200720
16 201820
17 202319
18 201218
19 199018
20 201215

About Thomas Stark

Thomas Stark is a scholar working on Cognitive Neuroscience, Global and Planetary Change, Speech and Hearing, Sensory Systems and Otorhinolaryngology, having authored 63 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hearing Loss and Rehabilitation (15 papers), Noise Effects and Management (7 papers), Hearing, Cochlea, Tinnitus, Genetics (7 papers), Land Use and Ecosystem Services (6 papers), Ear Surgery and Otitis Media (6 papers), Remote-Sensing Image Classification (5 papers), Video Surveillance and Tracking Methods (3 papers) and 3D Surveying and Cultural Heritage (3 papers). The work is most often cited by research in Sensory Systems (167 citations), Media Technology (173 citations), Speech and Hearing (125 citations), Otorhinolaryngology (79 citations) and Cognitive Neuroscience (270 citations). Thomas Stark has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Hannes Taubenböck, Michael Wurm, Xiao Xiang Zhu, Matthias Weigand, Manfred Hegger, Matthias Fuchs, Benedikt Hofauer, Frank Böhnke, Christian Schwahn and Katharina Braun. Their work appears in journals such as Cochlear Implants International, Acta Oto-Laryngologica, Scientific Reports, Head & Neck and IEEE Journal of Selected Topics in Applied Earth Observations and 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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