Ute Münch

495 citations
12 papers · 389 indexed · h-index 10

Impact in

  • Geophysics top 5%
    • earthquake and tectonic studies
    • Geological and Geochemical Analysis
    • Earthquake Detection and Analysis
    • Geochemistry and Elemental Analysis

Papers in

    • earthquake and tectonic studies 8
    • Geological and Geochemical Analysis 5
    • Earthquake Detection and Analysis 2
    • Geochemistry and Geologic Mapping 4
    • Seismology and Earthquake Studies 3

Ute Münch

12 papers receiving 371 citations

Peers

Ute Münch
Comparison fields: 5 of 52
  • Geophysics 289
  • Geochemistry and Petrology 67
  • Geology 42
  • Atmospheric Science 85
  • Artificial Intelligence 136
Replace J. O. Campos‐Enríquez with:
J. O. Campos‐Enríquez Mexico
D. A. Ponce United States
V.W. Chandler United States
Attila Aydemir Türkiye
D. K. McPhee United States
Agostina Chiodi Argentina
M -C Williamson Canada
Joaquín A. Cortés United Kingdom
Jeffry D. Grigsby United States
Nicholas H. Hinz United States
Ute Münch relative to J. O. Campos‐Enríquez Mexico J. O. Campos‐Enríquez's profile →
Citations per field
00.5×1.6×
J. O. Campos‐Enríquez · 1×
Citations per year

Countries citing papers authored by Ute Münch

Since Specialization
Citations

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

Fields of papers citing papers by Ute Münch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Ute Münch, 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 Ute Münch Line = papers co-authored together Ute Münch links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 200175
2 201060
3 200956
4 199855
5 199933
6 201433
7 199824
8 201519
9 201115
10 199611
11 20146
12
The Sonne sulfide field is not alone in the Indian Ocean
19962

About Ute Münch

Ute Münch is a scholar working on Geophysics, Artificial Intelligence, Atmospheric Science, Paleontology and General Health Professions, having authored 12 papers that have together received 389 indexed citations. Recurring topics across this work include earthquake and tectonic studies (8 papers), Geological and Geochemical Analysis (5 papers), Geochemistry and Geologic Mapping (4 papers), Geology and Paleoclimatology Research (3 papers), Seismology and Earthquake Studies (3 papers), Earthquake Detection and Analysis (2 papers), Hermeneutics and Narrative Identity (1 paper) and Geological and Geophysical Studies (1 paper). The work is most often cited by research in Geophysics (289 citations), Geochemistry and Petrology (67 citations), Geology (42 citations), Atmospheric Science (85 citations) and Artificial Intelligence (136 citations). Ute Münch has collaborated with scholars based in Germany, France and India. Frequent co-authors include Peter Halbach, Alexander Rudloff, J. Lauterjung, Claude Lalou, N. Blum, Hiromi Fujimoto, Stefano Tinti, Axel Liebscher, W. L. Plüger and Martin Zimmer. Their work appears in journals such as Natural hazards and earth system sciences, Marine Geology, Chemical Geology, Ore Geology Reviews and Mineralium Deposita.

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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