Rudyard Frietsch
- Geophysics top 5%
- Artificial Intelligence top 5%
- Geochemistry and Petrology top 5%
- Molecular Biology
- Inorganic Chemistry
- Co-authors
- Jan‐Anders PerdahlOlof MartinssonPekka TuiskuFrank M. VokesH. PapunenKjell BillströmBjörn Öhlander
- Topics
- Geochemistry and Geologic Mapping (14 papers)Geological and Geochemical Analysis (9 papers)Geomagnetism and Paleomagnetism Studies (9 papers)
In The Last Decade
Rudyard Frietsch
24 papers receiving 492 citations
Peers
Comparison fields: 5 of 36
- Geophysics 475
- Artificial Intelligence 350
- Geochemistry and Petrology 164
- Molecular Biology 46
- Inorganic Chemistry 31
Countries citing papers authored by Rudyard Frietsch
This map shows the geographic impact of Rudyard Frietsch'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 Rudyard Frietsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rudyard Frietsch more than expected).
Fields of papers citing papers by Rudyard Frietsch
This network shows the impact of papers produced by Rudyard Frietsch. 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 Rudyard Frietsch. The network helps show where Rudyard Frietsch may publish in the future.
Co-authorship network of co-authors of Rudyard Frietsch
This figure shows the co-authorship network connecting the top 25 collaborators of Rudyard Frietsch. A scholar is included among the top collaborators of Rudyard Frietsch 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 Rudyard Frietsch. Rudyard Frietsch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 93 | |
| 2 | 168 | |
| 3 | 17 | |
| 4 | 5 | |
| 5 | Sulphur isotopes in iron and sulphide ores in Northern Sweden | 1 |
| 6 | Geochemical features of early proterozoic volcanites in the Aitik sulphide ore and some other sulphide and iron ores in Norrbotten, Northern Sweden | 4 |
| 7 | New ore types in northern Fennoscandia : September 26-28, 1989, Luleå University of Technology, Luleå, Sweden | 1 |
| 8 | REE distribution in magnetite and apatite in some early proterozoic ore types in Norrbotten, Northern Sweden | 2 |
| 9 | Precambrian metallogeny of Finland, Norway and Sweden | 7 |
| 10 | The Lannavaara iron ores, northern Sweden | 5 |
| 11 | 8 | |
| 12 | 5 | |
| 13 | 1 | |
| 14 | 11 | |
| 15 | 1 | |
| 16 | 19 | |
| 17 | 3 | |
| 18 | Berggrund och malmer i Svappavaarafältet, norra Sverige | 9 |
| 19 | 2 | |
| 20 | 6 |
About Rudyard Frietsch
Rudyard Frietsch is a scholar working on Archeology, Geophysics and Geochemistry and Petrology, having authored 25 papers that have together received 536 indexed citations. Recurring topics across this work include Geochemistry and Geologic Mapping (14 papers), Geological and Geochemical Analysis (9 papers) and Geomagnetism and Paleomagnetism Studies (9 papers). The work is most often cited by research in Geophysics (475 citations), Geochemistry and Petrology (164 citations) and Artificial Intelligence (350 citations). Rudyard Frietsch has collaborated with scholars based in Sweden and Finland. Frequent co-authors include Jan‐Anders Perdahl, Olof Martinsson, Pekka Tuisku, Frank M. Vokes, H. Papunen, Kjell Billström and Björn Öhlander. Their work appears in journals such as Precambrian Research, Economic Geology and Ore Geology Reviews.
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.