Richard J. Moscati

656 citations
27 papers · 510 indexed · h-index 13

Richard J. Moscati

27 papers receiving 483 citations

Peers

Richard J. Moscati
Comparison fields: 5 of 42
  • Geophysics 395
  • Geochemistry and Petrology 139
  • Artificial Intelligence 251
  • Atmospheric Science 130
  • Paleontology 30
Replace Saumitra Misra with:
Saumitra Misra India
Knut Hahne Germany
Julien Leuthold Switzerland
Todd A. LaMaskin United States
Vivek P. Malviya India
Kamal Kant Sharma India
Masako Yoshikawa Japan
Paul Alexandre Canada
Hans Wilke Chile
Ritesh Purohit India
Richard J. Moscati relative to Saumitra Misra India Saumitra Misra's profile →
Citations per field
00.5×1.5×1.8×
Saumitra Misra · 1×
Citations per year

Countries citing papers authored by Richard J. Moscati

Since Specialization
Citations

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

Fields of papers citing papers by Richard J. Moscati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20216
2 202123
3 202046
4 202020
5
Geochemistry of Hydrothermally Altered Sediments, Pore Fluids, and Hydrothermal Explosion Deposits from Yellowstone Lake
20191
6 20191
7 201953
8 201886
9 20173
10 20163
11 201633
12 20162
13 201513
14 20135
15
Observations of mass fractionation of noble gases in synthetic methane hydrate
20111
16 20115
17 20088
18 200263
19 19946
20 198962

About Richard J. Moscati

Richard J. Moscati is a scholar working on Geochemistry and Petrology, Geophysics and Environmental Chemistry, having authored 27 papers that have together received 510 indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (15 papers), Geochemistry and Geologic Mapping (10 papers), earthquake and tectonic studies (8 papers), Geology and Paleoclimatology Research (6 papers), Hydrocarbon exploration and reservoir analysis (5 papers), Groundwater and Isotope Geochemistry (4 papers), Methane Hydrates and Related Phenomena (4 papers) and Atmospheric and Environmental Gas Dynamics (3 papers). The work is most often cited by research in Geophysics (395 citations), Geochemistry and Petrology (139 citations) and Artificial Intelligence (251 citations). Richard J. Moscati has collaborated with scholars based in United States, Canada and Russia. Frequent co-authors include Leonid A. Neymark, Christopher S. Holm‐Denoma, Jonathan H. Berg, Craig A. Johnson, Irving Friedman, George I. Smith, Joseph F. Whelan, А. М. Larin, Bernd Lehmann and Armin Zeh.

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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