Thomas C.W. Landgrebe
- Artificial Intelligence top 10%
- Geophysics top 10%
- Computer Vision and Pattern Recognition top 10%
- Molecular Biology
- Atmospheric Science
- Co-authors
- Robert P. W. DuinR. Dietmar MüllerRpw DuinPavel Paclı́kJoanne M. WhittakerSimon WilliamsDavid M. J. TaxAdriana Dutkiewicz
- Topics
- Imbalanced Data Classification Techniques (7 papers)Geochemistry and Geologic Mapping (7 papers)Anomaly Detection Techniques and Applications (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceEarth and Planetary Science Letters
- Partner nations
- AustraliaNetherlandsUnited States
In The Last Decade
Thomas C.W. Landgrebe
19 papers receiving 509 citations
Peers
Comparison fields: 5 of 99
- Artificial Intelligence 188
- Geophysics 187
- Computer Vision and Pattern Recognition 62
- Molecular Biology 52
- Atmospheric Science 47
Countries citing papers authored by Thomas C.W. Landgrebe
This map shows the geographic impact of Thomas C.W. Landgrebe'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 Thomas C.W. Landgrebe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas C.W. Landgrebe more than expected).
Fields of papers citing papers by Thomas C.W. Landgrebe
This network shows the impact of papers produced by Thomas C.W. Landgrebe. 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 Thomas C.W. Landgrebe. The network helps show where Thomas C.W. Landgrebe may publish in the future.
Co-authorship network of co-authors of Thomas C.W. Landgrebe
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas C.W. Landgrebe. A scholar is included among the top collaborators of Thomas C.W. Landgrebe 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 Thomas C.W. Landgrebe. Thomas C.W. Landgrebe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 4 | |
| 3 | Interactions among plumes, mantle circulation and mid-ocean ridges | 2 |
| 4 | 8 | |
| 5 | 14 | |
| 6 | 8 | |
| 7 | 25 | |
| 8 | 17 | |
| 9 | 5 | |
| 10 | 94 | |
| 11 | 5 | |
| 12 | 63 | |
| 13 | 7 | |
| 14 | 1 | |
| 15 | 82 | |
| 16 | 65 | |
| 17 | 5 | |
| 18 | 66 | |
| 19 | 56 |
About Thomas C.W. Landgrebe
Thomas C.W. Landgrebe is a scholar working on Geochemistry and Petrology, Geophysics and Artificial Intelligence, having authored 19 papers that have together received 532 indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (7 papers), Geochemistry and Geologic Mapping (7 papers) and Anomaly Detection Techniques and Applications (7 papers). The work is most often cited by research in Geophysics (187 citations), Geology (41 citations) and Geochemistry and Petrology (36 citations). Thomas C.W. Landgrebe has collaborated with scholars based in Australia, Netherlands and United States. Frequent co-authors include Robert P. W. Duin, R. Dietmar Müller, Rpw Duin, Pavel Paclı́k, Joanne M. Whittaker, Simon Williams, David M. J. Tax, Adriana Dutkiewicz, Hans‐Peter Bunge and Grace E. Shephard. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Earth and Planetary Science Letters.
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.