Wayne R. Premo

3.6k total citations
78 papers, 1.8k citations indexed

About

Wayne R. Premo is a scholar working on Geophysics, Artificial Intelligence and Atmospheric Science. According to data from OpenAlex, Wayne R. Premo has authored 78 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Geophysics, 30 papers in Artificial Intelligence and 25 papers in Atmospheric Science. Recurrent topics in Wayne R. Premo's work include Geological and Geochemical Analysis (59 papers), Geochemistry and Geologic Mapping (30 papers) and Geology and Paleoclimatology Research (25 papers). Wayne R. Premo is often cited by papers focused on Geological and Geochemical Analysis (59 papers), Geochemistry and Geologic Mapping (30 papers) and Geology and Paleoclimatology Research (25 papers). Wayne R. Premo collaborates with scholars based in United States, Canada and France. Wayne R. Premo's co-authors include M. Tatsumoto, John S. Pallister, J. S. Stacey, Lynn B. Fischer, Stephen S. Harlan, A N LeCheminant, Larry M. Heaman, Alexander Iriondo, Poul Emsbo and Leonid A. Neymark and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geochimica et Cosmochimica Acta and Earth and Planetary Science Letters.

In The Last Decade

Wayne R. Premo

76 papers receiving 1.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Wayne R. Premo United States 25 1.5k 688 315 281 222 78 1.8k
Mathieu Benoît France 26 2.5k 1.7× 951 1.4× 247 0.8× 293 1.0× 117 0.5× 69 2.9k
Uwe Nohl Germany 8 1.1k 0.7× 604 0.9× 285 0.9× 344 1.2× 172 0.8× 18 1.7k
Bruce F. Schaefer Australia 26 1.7k 1.1× 581 0.8× 249 0.8× 375 1.3× 178 0.8× 72 2.0k
Dallas Abbott United States 24 1.7k 1.1× 372 0.5× 240 0.8× 311 1.1× 332 1.5× 67 2.1k
R. H. Kingsley United States 25 2.6k 1.7× 559 0.8× 381 1.2× 274 1.0× 132 0.6× 32 2.8k
Sæmundur A. Halldórsson Iceland 26 1.6k 1.0× 313 0.5× 404 1.3× 261 0.9× 118 0.5× 75 2.0k
Ryoko Senda Japan 25 1.4k 0.9× 324 0.5× 339 1.1× 296 1.1× 228 1.0× 68 1.7k
Roger Hart United States 13 1.3k 0.8× 480 0.7× 251 0.8× 257 0.9× 251 1.1× 21 1.7k
Joshua H.F.L. Davies Canada 25 1.3k 0.9× 516 0.8× 365 1.2× 249 0.9× 618 2.8× 76 1.7k
Françoise Capmas France 15 1.1k 0.7× 316 0.5× 545 1.7× 639 2.3× 312 1.4× 19 1.8k

Countries citing papers authored by Wayne R. Premo

Since Specialization
Citations

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

Fields of papers citing papers by Wayne R. Premo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wayne R. Premo. 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 Wayne R. Premo. The network helps show where Wayne R. Premo may publish in the future.

Co-authorship network of co-authors of Wayne R. Premo

This figure shows the co-authorship network connecting the top 25 collaborators of Wayne R. Premo. A scholar is included among the top collaborators of Wayne R. Premo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wayne R. Premo. Wayne R. Premo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Premo, Wayne R., et al.. (2025). Re-evaluating the tectonic affinity of Proterozoic crustal provinces in the Southwest USA: Detrital zircon evidence for a Laurentian source for the Yavapai and Mojave Provinces. Geological Society of America Bulletin. 137(7-8). 2965–2981. 1 indexed citations
2.
Snoke, Arthur W., Calvin G. Barnes, Keith A. Howard, et al.. (2024). Paleogene mid-crustal intrusions in the Ruby Mountains–East Humboldt Range metamorphic core complex, northeastern Nevada, USA. Geosphere. 20(2). 577–620. 2 indexed citations
3.
Williams, Michael L., Karl E. Karlstrom, A. Kate Souders, et al.. (2024). Heterogeneous multi-stage accretionary orogenesis — Evidence from the Gunnison block in the Yavapai Province, southwest USA. Precambrian Research. 401. 107256–107256. 3 indexed citations
5.
Premo, Wayne R., et al.. (2020). An Integrated O2-Hf-U/Pb Isotope Study of Zircon on Crustal Growth in the Yavapai Province of Colorado. Goldschmidt Abstracts. 1822–1822. 1 indexed citations
6.
Bray, Edward A. du, David A. John, Peter G. Vikre, et al.. (2019). Petrographic, geochemical, and geochronologic data for cenozoic volcanic rocks of the Tonopah, Divide, and Goldfield Mining Districts, Nevada. Data series. 2 indexed citations
7.
Premo, Wayne R.. (2012). A REFINEMENT OF THE TIMING FOR PROTEROZOIC CRUSTAL GROWTH IN WESTERNMOST COLORADO FROM SHRIMP-RG U-PB ZIRCON GEOCHRONOLOGY. 2012 GSA Annual Meeting in Charlotte. 3 indexed citations
8.
Iriondo, Alexander, et al.. (2012). Caracterización geológica de los ensambles metamórficos de Taxco y Taxco el Viejo, Guerrero, México. Boletín de la Sociedad Geológica Mexicana. 64(3). 369–385. 18 indexed citations
10.
Matti, Jonathan C., Douglas M. Morton, Gary P. Landis, et al.. (2006). Fault-Bounded Late Neogene Sedimentary Deposits in the Santa Rosa Mountains, Southern CA: Constraints on the Evolution of the San Jacinto Fault. AGUFM. 2006. 7 indexed citations
11.
Misawa, K., et al.. (2006). Sm-Nd Isotopic Systematics of Lherzolitic Shergottite Yamato-793605. Institutional Repository National Institute of Polar Research (National Institute of Polar Research (Japan)). 19(19). 1892–57. 27 indexed citations
12.
Premo, Wayne R.. (1995). Evidence for Metamorphic PB in Ancient Lunar Highland Rocks (>3.9 Ga)?: an Alternative Explanation for "Ugly" U-Pb Systematics. LPI. 26. 1135. 1 indexed citations
13.
Premo, Wayne R. & M. Tatsumoto. (1994). PB Isotopic Systematics of Troctolitic Anorthosite 62237. Lunar and Planetary Science Conference. 1103. 1 indexed citations
14.
Premo, Wayne R. & M. Tatsumoto. (1993). U-Pb isotopic systematics of ferroan anorthosite 60025. Lunar and Planetary Science Conference. 1173. 3 indexed citations
15.
Tatsumoto, M., Y. Nakamura, Wayne R. Premo, & F. R. Boyd. (1992). Elemental Distribution of U, Th, and PB in Peridotite Xenoliths: Implications for the PB Isotopic Evolution of the Moon. Lunar and Planetary Science Conference. 23. 1409. 1 indexed citations
16.
Premo, Wayne R. & M. Tatsumoto. (1992). U-Pb Isotopes in Dunites 72415. LPI. 23. 1103. 1 indexed citations
17.
Premo, Wayne R. & M. Tatsumoto. (1992). U-Th-Pb, Rb-Sr, and Sm-Nd isotopic systematics of lunar troctolitic cumulate 76535 - Implications on the age and origin of this early lunar, deep-seated cumulate. Lunar and Planetary Science Conference. 22. 381–397. 29 indexed citations
18.
Premo, Wayne R.. (1992). Nd-Sr Isotopic Signature of the Pierre Shale: Target Material at the Manson Impact Site and Source of the Haitian Tektites (K-T Boundary)?. LPI. 23. 1099. 1 indexed citations
19.
Tatsumoto, M. & Wayne R. Premo. (1991). U-Pb isotopic characteristics of lunar meteorites Yamato-793274 and Yamato-86032. Institutional Repository National Institute of Polar Research (National Institute of Polar Research (Japan)). 4. 56–69. 5 indexed citations
20.
Tatsumoto, M., et al.. (1988). PB Isotopic Evolution in the Moon and Earth; Inference from U-Th-Pb Partitioning in Basalt-Forming Minerals. Lunar and Planetary Science Conference. 19. 1183. 1 indexed citations

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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