Markus Götz

32 papers receiving 250 citations

Peers

Markus Götz
Comparison fields: 5 of 74
  • Computer Graphics and Computer-Aided Design 10
  • Geology 15
  • Media Technology 23
  • Computer Vision and Pattern Recognition 52
  • Artificial Intelligence 66
Replace Jin Lei with:
Jin Lei China
Mukesh Kumar Rohil India
Yujing Sun China
Emilien Dupont United Kingdom
Alasdair McAndrew Australia
Xinyi Wang China
Rachid Benslimane Morocco
Ting Xie China
Yusheng Xu China
Markus Götz relative to Jin Lei China Jin Lei's profile →
Citations per field
00.5×3.3×
Jin Lei · 1×
Citations per year

Countries citing papers authored by Markus Götz

Since Specialization
Citations

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

Fields of papers citing papers by Markus Götz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201532
2 202124
3 202222
4 202322
5 202318
6 201818
7 202316
8 202315
9 201815
10 20189
11 20158
12 20247
13 20225
14 20225
15 20255
16 20234
17 20204
18 20164
19 20233
20 20253

About Markus Götz

Markus Götz is a scholar working on Computational Mathematics, Space and Planetary Science, Geology, Information Systems and Management and Biophysics, having authored 37 papers that have together received 260 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (4 papers), Scientific Computing and Data Management (4 papers), 3D Surveying and Cultural Heritage (4 papers), Perovskite Materials and Applications (3 papers), Remote-Sensing Image Classification (3 papers), Cell Image Analysis Techniques (2 papers), Protein Structure and Dynamics (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (10 citations), Geology (15 citations), Media Technology (23 citations), Computer Vision and Pattern Recognition (52 citations) and Artificial Intelligence (66 citations). Markus Götz has collaborated with scholars based in Germany, Iceland and France. Frequent co-authors include Morris Riedel, Achim Streit, Gabriele Cavallaro, Ulrich W. Paetzold, Felix Laufer, J. Kahn, Hartwig Anzt, Frank Schultmann, Rebekka Volk and Alexander Schug. Their work appears in journals such as Nature Machine Intelligence, Solar RRL, Geoscientific model development, Nature Communications and Applied Energy.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026