Klaus J. Schulz

2.1k total citations
66 papers, 1.6k citations indexed

About

Klaus J. Schulz is a scholar working on Geophysics, Artificial Intelligence and Geochemistry and Petrology. According to data from OpenAlex, Klaus J. Schulz has authored 66 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Geophysics, 30 papers in Artificial Intelligence and 9 papers in Geochemistry and Petrology. Recurrent topics in Klaus J. Schulz's work include Geological and Geochemical Analysis (39 papers), Geochemistry and Geologic Mapping (30 papers) and earthquake and tectonic studies (22 papers). Klaus J. Schulz is often cited by papers focused on Geological and Geochemical Analysis (39 papers), Geochemistry and Geologic Mapping (30 papers) and earthquake and tectonic studies (22 papers). Klaus J. Schulz collaborates with scholars based in United States, Canada and Australia. Klaus J. Schulz's co-authors include William F. Cannon, P.K. Sims, Zell E. Peterman, Suzanne W. Nicholson, R. S. White, D. R. Hutchinson, W. R. Van Schmus, David Schneider, Nadine M. Piatak and Michael A. Hamilton and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geology and Earth-Science Reviews.

In The Last Decade

Klaus J. Schulz

62 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Klaus J. Schulz United States 22 1.1k 553 255 225 222 66 1.6k
D. K. Paul India 27 1.6k 1.4× 501 0.9× 211 0.8× 178 0.8× 125 0.6× 76 2.2k
M. Solomon Australia 24 1.5k 1.3× 1.1k 1.9× 351 1.4× 137 0.6× 165 0.7× 54 1.8k
Michel Jébrak Canada 21 1.3k 1.2× 751 1.4× 318 1.2× 126 0.6× 107 0.5× 91 1.7k
Matthew A. Coble United States 22 1.3k 1.1× 547 1.0× 232 0.9× 308 1.4× 137 0.6× 80 1.6k
Andrew McCaig United Kingdom 23 1.9k 1.6× 346 0.6× 210 0.8× 346 1.5× 120 0.5× 62 2.2k
Éric Marcoux France 29 1.8k 1.5× 1.1k 2.1× 481 1.9× 121 0.5× 205 0.9× 85 2.4k
Laura Crispini Italy 27 1.9k 1.6× 522 0.9× 126 0.5× 305 1.4× 209 0.9× 112 2.4k
Miguel A. Parada Chile 28 1.9k 1.7× 1000 1.8× 318 1.2× 348 1.5× 218 1.0× 86 2.4k
Peter Laznicka Canada 17 982 0.9× 652 1.2× 293 1.1× 94 0.4× 103 0.5× 43 1.4k
Reinhard O. Greiling Germany 28 2.1k 1.8× 839 1.5× 156 0.6× 209 0.9× 200 0.9× 88 2.4k

Countries citing papers authored by Klaus J. Schulz

Since Specialization
Citations

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

Fields of papers citing papers by Klaus J. Schulz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Klaus J. Schulz. 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 Klaus J. Schulz. The network helps show where Klaus J. Schulz may publish in the future.

Co-authorship network of co-authors of Klaus J. Schulz

This figure shows the co-authorship network connecting the top 25 collaborators of Klaus J. Schulz. A scholar is included among the top collaborators of Klaus J. Schulz 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 Klaus J. Schulz. Klaus J. Schulz 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.
Holm, Daniel, L. Gordon Medaris, Kalin T. McDannell, et al.. (2019). Growth, overprinting, and stabilization of Proterozoic provinces in the southern Lake Superior region. Precambrian Research. 339. 105587–105587. 17 indexed citations
2.
Schulz, Klaus J., John H. DeYoung, Robert R. Seal, & Dwight C. Bradley. (2017). Critical mineral resources of the United States—An introduction. USGS professional paper. 26 indexed citations
3.
4.
Schulz, Klaus J., Laurel G. Woodruff, Suzanne W. Nicholson, et al.. (2014). Occurrence model for magmatic sulfide-rich nickel-copper-(platinum-group element) deposits related to mafic and ultramafic dike-sill complexes. Scientific investigations report. 12 indexed citations
5.
Shanks, Wayne C., Randolph A. Koski, Dan L. Mosier, et al.. (2012). Volcanogenic massive sulfide occurrence model. Scientific investigations report. 68 indexed citations
6.
Tucker, Robert D., et al.. (2011). Geologic map of the Khanneshin carbonatite complex, Helmand Province, Afghanistan, modified from the 1976 original map compilation of V.G. Cheremytsin. Antarctica A Keystone in a Changing World. 1 indexed citations
7.
Shanks, Wayne C., Cynthia Dusel-Bacon, Randolph A. Koski, et al.. (2009). A New Occurrence Model for National Assessment of Undiscovered Volcanogenic Massive Sulfide Deposits. Antarctica A Keystone in a Changing World.
8.
Cunningham, Charles G., Eduardo O. Zappettini, Donald A. Singer, et al.. (2008). Pan-American quantitative mineral resource assessment of copper, molybdenum, gold, and silver in undiscovered porphyry copper deposits in the Andes mountains, South America.
9.
Holm, Daniel, T.J. Boerboom, William F. Cannon, et al.. (2007). Reinterpretation of Paleoproterozoic accretionary boundaries of the north-central United States based on a new aeromagnetic-geologic compilation. Precambrian Research. 157(1-4). 71–79. 55 indexed citations
10.
11.
Sylvester, Paul, Kodjopa Attoh, & Klaus J. Schulz. (1986). Melting of Mafic and Felsic Sources to Produce the Hree-Depleted Dacites of the Michipicoten Greenstone Belt, Ontario. Lunar and Planetary Science Conference. 859–860. 1 indexed citations
12.
Mueller, Paul A., J. L. Wooden, Klaus J. Schulz, & D. R. Bowes. (1983). Incompatible-element–rich andesitic amphibolites from the Archean of Montana and Wyoming: Evidence for mantle metasomatism. Geology. 11(4). 203–203. 19 indexed citations
13.
Arvidson, R. E., et al.. (1982). Image processing applied to gravity and topography data covering the continental U.S.. Eos. 63(18). 257–265. 22 indexed citations
14.
Arvidson, R. E., et al.. (1982). Image processing applied to gravity and topography data covering the continental United States. NASA Technical Reports Server (NASA). 6 indexed citations
15.
Cannon, William F., et al.. (1981). A large-scale positive-gravity anomaly in northeastern North America: Possible evidence for large-scale meteorite impact. 449. 24. 1 indexed citations
16.
Weiblen, P. W. & Klaus J. Schulz. (1978). Is there any record of meteorite impact in the Archean rocks of North America. Lunar and Planetary Science Conference Proceedings. 2. 2749–2771. 5 indexed citations
17.
Weiblen, P. W. & Klaus J. Schulz. (1978). Lunar Maria and Terrestrial Greenstone-Granite Terranes: Significance of of Similarities and Differences. Lunar and Planetary Science Conference. 1240–1242. 1 indexed citations
18.
Green, John C. & Klaus J. Schulz. (1977). Iron-rich basaltic komatiites in the early Precambrian Vermilion District, Minnesota. Canadian Journal of Earth Sciences. 14(10). 2181–2192. 21 indexed citations
19.
Calatayud, Juan B., et al.. (1967). Evaluation of ECG criteria for P-wave abnormalities. American Heart Journal. 74(6). 757–765. 50 indexed citations
20.
Calatayud, Juan B., Klaus J. Schulz, Vladir Maranhão, & Harry Goldberg. (1964). ACQUIRED AORTIC STENOSIS IN ADULTS: FINDINGS OF PROGNOSTIC VALUE IN EVALUATION FOR SURGICAL TREATMENT. Journal of Thoracic and Cardiovascular Surgery. 47(3). 337–341. 2 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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