Jack Hietpas

824 citations
22 papers · 649 · h-index 12

Impact in

  • Geophysics top 5%
    • Geological and Geochemical Analysis
    • earthquake and tectonic studies
    • High-pressure geophysics and materials
    • Geochemistry and Elemental Analysis

Papers in

Jack Hietpas

22 papers receiving 626 citations

Peers

Jack Hietpas
Comparison fields: 5 of 93
  • Geophysics 413
  • Geochemistry and Petrology 87
  • Paleontology 95
  • Earth-Surface Processes 48
  • Artificial Intelligence 214
Replace José Antonio López-Ruiz with:
José Antonio López-Ruiz Spain
Izumi Sakamoto Japan
Peter M�ller Germany
Chun Fan China
Michel Malo Canada
Richard Armstrong Australia
Xiaofei Qiu China
Xiantao Ye China
Maria Rosaria Renna Italy
Yanxue Liu China
Jack Hietpas relative to José Antonio López-Ruiz Spain José Antonio López-Ruiz's profile →
Citations per field
00.5×1.7×
José Antonio López-Ruiz · 1×
Citations per year

Countries citing papers authored by Jack Hietpas

Since Specialization
Citations

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

Fields of papers citing papers by Jack Hietpas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201390
2 200387
3 201085
4 200167
5 201165
6 201156
7 201146
8 201235
9 201121
10 201920
11 202117
12 201813
13 201911
14 201611
15 20137
16 20145
17 20204
18 20213
19 20182
20
Investigating the Utility of Detrital Mineral Microchemistry and Radiogenic Isotope Compositions as Provenance Discriminators
20122

About Jack Hietpas

Jack Hietpas is a scholar working on Geophysics, Artificial Intelligence, Safety Research, Genetics and Urology, having authored 22 papers that have together received 649 indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (10 papers), earthquake and tectonic studies (8 papers), Geochemistry and Geologic Mapping (8 papers), Forensic Fingerprint Detection Methods (3 papers), Forensic and Genetic Research (2 papers), Hair Growth and Disorders (2 papers), Geochemistry and Elemental Analysis (2 papers) and Image Processing and 3D Reconstruction (2 papers). The work is most often cited by research in Geophysics (413 citations), Geochemistry and Petrology (87 citations), Paleontology (95 citations), Earth-Surface Processes (48 citations) and Artificial Intelligence (214 citations). Jack Hietpas has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include Scott D. Samson, David P. Moecher, Aaron M. Satkoski, Bruce H. Wilkinson, Suvankar Chakraborty, Axel K. Schmitt, D Goodkin, Abhijit Basu, M. E. Bickford and Jüergen Schieber. Their work appears in journals such as Journal of Forensic Sciences, Forensic Science International, Geology, Geological Society of America Bulletin and The Journal of Geology.

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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