Martin S. Appold

1.6k citations
47 papers · 1.3k · h-index 19

Impact in

Papers in

Martin S. Appold

43 papers receiving 1.2k citations

Peers

Martin S. Appold
Comparison fields: 5 of 62
  • Geophysics 823
  • Geochemistry and Petrology 271
  • Environmental Engineering 267
  • Artificial Intelligence 554
  • Mechanics of Materials 325
Replace Elisabeth L. Rowan with:
Elisabeth L. Rowan United States
Giovanni Gianelli Italy
Stuart F. Simmons New Zealand
Agnes G. Reyes New Zealand
J. Naden United Kingdom
Abdulkader M. Afifi Saudi Arabia
Ingrid Stober Germany
Daniel O. Hayba United States
Jacques Leroy France
S. Buschaert France
Martin S. Appold relative to Elisabeth L. Rowan United States Elisabeth L. Rowan's profile →
Citations per field
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Elisabeth L. Rowan · 1×
Citations per year

Countries citing papers authored by Martin S. Appold

Since Specialization
Citations

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

Fields of papers citing papers by Martin S. Appold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin S. Appold. 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 Martin S. Appold. The network helps show where Martin S. Appold may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009151
2 199595
3 200892
4 199688
5 199988
6 199985
7 201267
8 202065
9 201147
10 200045
11 201437
12 199435
13 201633
14 201533
15 200231
16 200527
17 201627
18 200423
19 199419
20 200818

About Martin S. Appold

Martin S. Appold is a scholar working on Geophysics, Artificial Intelligence, Environmental Engineering, Geochemistry and Petrology and Mechanical Engineering, having authored 47 papers that have together received 1.3k indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (18 papers), Geochemistry and Geologic Mapping (18 papers), CO2 Sequestration and Geologic Interactions (12 papers), Groundwater and Isotope Geochemistry (8 papers), Groundwater flow and contamination studies (8 papers), Hydraulic Fracturing and Reservoir Analysis (8 papers), Hydrocarbon exploration and reservoir analysis (7 papers) and earthquake and tectonic studies (7 papers). The work is most often cited by research in Geophysics (823 citations), Geochemistry and Petrology (271 citations), Environmental Engineering (267 citations), Artificial Intelligence (554 citations) and Mechanics of Materials (325 citations). Martin S. Appold has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Grant Garven, Teresa E. Jeffries, Jamie J. Wilkinson, Stephen E. Kesler, S. E. Ingebritsen, Jeffrey A. Nunn, Lynn M. Walter, Ted J. Huston, Anna M. Martini and Clara C. Wilkinson. Their work appears in journals such as Economic Geology, Geofluids, Geochimica et Cosmochimica Acta, Hydrogeology Journal and Journal of Geochemical Exploration.

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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