Eva Maria Wild

2.9k citations
85 papers · 2.1k · h-index 26

Impact in

  • Paleontology top 0.5%
    • Archaeology and ancient environmental studies
  • Archeology top 0.2%
    • Forensic Anthropology and Bioarchaeology Studies

Papers in

Eva Maria Wild

84 papers receiving 2.0k citations

Peers

Eva Maria Wild
Comparison fields: 5 of 119
  • Paleontology 1.1k
  • Archeology 757
  • Anthropology 569
  • Archeology 46
  • Radiological and Ultrasound Technology 201
Replace Claudio Tuniz with:
Claudio Tuniz Italy
Ugo Zoppi Australia
W.J. Rink Canada
J.R. Prescott Australia
M. J. AITKEN United Kingdom
Stephen Stokes United Kingdom
V. Mejdahl Denmark
D.I. Godfrey‐Smith Canada
Ioannis Liritzis Greece
J.T. Hutton Australia
Eva Maria Wild relative to Claudio Tuniz Italy Claudio Tuniz's profile →
Citations per field
00.5×1.7×
Claudio Tuniz · 1×
Citations per year

Countries citing papers authored by Eva Maria Wild

Since Specialization
Citations

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

Fields of papers citing papers by Eva Maria Wild

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva Maria Wild. 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 Eva Maria Wild. The network helps show where Eva Maria Wild may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010181
2 2008167
3 2006131
4 2000129
5 2005108
6 201793
7 201072
8 200970
9 200452
10 201451
11 200848
12 201645
13 201242
14 199741
15 200440
16 199739
17 198439
18 201636
19 200934
20 201833

About Eva Maria Wild

Eva Maria Wild is a scholar working on Paleontology, Atmospheric Science, Archeology, Ecology and Anthropology, having authored 85 papers that have together received 2.1k indexed citations. Recurring topics across this work include Archaeology and ancient environmental studies (44 papers), Geology and Paleoclimatology Research (27 papers), Isotope Analysis in Ecology (16 papers), Pleistocene-Era Hominins and Archaeology (13 papers), Radioactive contamination and transfer (12 papers), Nuclear Physics and Applications (11 papers), Radioactivity and Radon Measurements (11 papers) and Planetary Science and Exploration (9 papers). The work is most often cited by research in Paleontology (1.1k citations), Archeology (757 citations), Anthropology (569 citations), Archeology (46 citations) and Radiological and Ultrasound Technology (201 citations). Eva Maria Wild has collaborated with scholars based in Austria, United Kingdom and Germany. Frequent co-authors include Peter Steier, W. Kutschera, Alfred Priller, Robin Golser, Christopher Bronk Ramsey, Werner Rom, Thomas Higham, Sturt W. Manning, Michael Dee and A. Wallner. Their work appears in journals such as Radiocarbon, Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms, Meteoritics and Planetary Science, PLoS ONE and Science.

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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