Maya Elrick

38 papers receiving 1.6k citations

Peers

Maya Elrick
Comparison fields: 5 of 57
  • Paleontology 1.4k
  • Geochemistry and Petrology 478
  • Earth-Surface Processes 354
  • Atmospheric Science 909
  • Geophysics 563
Replace Alexis Godet with:
Alexis Godet Switzerland
Ashleigh v.S. Hood Australia
Meiyi Yu China
Steven C. Turgeon United States
David L. Kidder United States
Gerard J.B. Germs South Africa
Elizabeth C. Turner Canada
Seth A. Young United States
Dimitri Kaljo Estonia
Nicolas Fiet France
Maya Elrick relative to Alexis Godet Switzerland Alexis Godet's profile →
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Citations per year

Countries citing papers authored by Maya Elrick

Since Specialization
Citations

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

Fields of papers citing papers by Maya Elrick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018135
2 1991120
3 2000119
4 2016118
5 200883
6 200978
7 199574
8 201872
9 199670
10 201369
11 201866
12 200159
13 201156
14 200655
15 200154
16 202152
17 200248
18 200948
19 202045
20 200545

About Maya Elrick

Maya Elrick is a scholar working on Paleontology, Atmospheric Science, Geochemistry and Petrology, Earth-Surface Processes and Geophysics, having authored 40 papers that have together received 1.7k indexed citations. Recurring topics across this work include Paleontology and Stratigraphy of Fossils (34 papers), Geology and Paleoclimatology Research (30 papers), Geological formations and processes (13 papers), Geochemistry and Elemental Analysis (12 papers), Geological and Geochemical Analysis (9 papers), Hydrocarbon exploration and reservoir analysis (4 papers), Methane Hydrates and Related Phenomena (4 papers) and Geological and Geophysical Studies (3 papers). The work is most often cited by research in Paleontology (1.4k citations), Geochemistry and Petrology (478 citations), Earth-Surface Processes (354 citations), Atmospheric Science (909 citations) and Geophysics (563 citations). Maya Elrick has collaborated with scholars based in United States, China and Canada. Frequent co-authors include J. Fred Read, Linda A. Hinnov, Stephen J. Romaniello, Yemane Asmerom, André Desrochers, Victor J. Polyak, Gilbert Klapper, Laura J. Crossey, Karl E. Karlstrom and Carol M. Dehler. Their work appears in journals such as Geology, Palaeogeography Palaeoclimatology Palaeoecology, Earth and Planetary Science Letters, Geological Society of America Bulletin and Journal of Sedimentary Research.

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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