James M. McLelland
- Geophysics top 0.5%
- Artificial Intelligence top 1%
- Geochemistry and Petrology top 2%
- Atmospheric Science top 10%
- Paleontology top 5%
- Co-authors
- Jeffrey R. ChiarenzelliJohn W. ValleyPhilip R. WhitneyJ. Stephen DalyJ. M. McLellandStephen S. HarlanKarl E. KarlstromKarl‐Inge Åhäll
- Topics
- Geological and Geochemical Analysis (34 papers)Geochemistry and Geologic Mapping (27 papers)earthquake and tectonic studies (15 papers)
- Partner nations
- United StatesCanadaRussia
In The Last Decade
James M. McLelland
46 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 46
- Geophysics 2.2k
- Artificial Intelligence 975
- Geochemistry and Petrology 248
- Atmospheric Science 241
- Paleontology 220
Countries citing papers authored by James M. McLelland
This map shows the geographic impact of James M. McLelland'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 James M. McLelland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James M. McLelland more than expected).
Fields of papers citing papers by James M. McLelland
This network shows the impact of papers produced by James M. McLelland. 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 James M. McLelland. The network helps show where James M. McLelland may publish in the future.
Co-authorship network of co-authors of James M. McLelland
This figure shows the co-authorship network connecting the top 25 collaborators of James M. McLelland. A scholar is included among the top collaborators of James M. McLelland 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 James M. McLelland. James M. McLelland is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Regional Geological Setting of the Adirondack Mountains, New York | 1 |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 58 | |
| 9 | 8 | |
| 10 | Kiruna-type low Ti, Fe oxide ores and related rocks, Adirondack Mountains, New York; high-temperature hydrothermal processes | 2 |
| 11 | 90 | |
| 12 | 197 | |
| 13 | 26 | |
| 14 | 65 | |
| 15 | 18 | |
| 16 | 27 | |
| 17 | 10 | |
| 18 | 24 | |
| 19 | 20 | |
| 20 | 43 |
About James M. McLelland
James M. McLelland is a scholar working on Geophysics, Artificial Intelligence and Atmospheric Science, having authored 47 papers that have together received 2.3k indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (34 papers), Geochemistry and Geologic Mapping (27 papers) and earthquake and tectonic studies (15 papers). The work is most often cited by research in Geophysics (2.2k citations), Geochemistry and Petrology (248 citations) and Artificial Intelligence (975 citations). James M. McLelland has collaborated with scholars based in United States, Canada and Russia. Frequent co-authors include Jeffrey R. Chiarenzelli, John W. Valley, Philip R. Whitney, J. Stephen Daly, J. M. McLelland, Stephen S. Harlan, Karl E. Karlstrom, Karl‐Inge Åhäll, J. W. Geissman and Michael L. Williams. Their work appears in journals such as Nature, Earth and Planetary Science Letters and 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.