Gábor Gaál
- Geophysics top 2%
- Artificial Intelligence top 2%
- Geochemistry and Petrology top 5%
- Geology top 5%
- Molecular Biology
- Co-authors
- Roland GorbatschevDaniel F. MerriamRichard B. McCammonAndrea G. FabbriMogens MarkerKrister SundbladAsger BerthelsenP. Raase
- Topics
- Geological and Geochemical Analysis (16 papers)Geochemistry and Geologic Mapping (12 papers)High-pressure geophysics and materials (9 papers)
- Partner nations
- FinlandSwedenNetherlands
In The Last Decade
Gábor Gaál
20 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 58
- Geophysics 1.1k
- Artificial Intelligence 542
- Geochemistry and Petrology 134
- Geology 80
- Molecular Biology 78
Countries citing papers authored by Gábor Gaál
This map shows the geographic impact of Gábor Gaál'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 Gábor Gaál with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gábor Gaál more than expected).
Fields of papers citing papers by Gábor Gaál
This network shows the impact of papers produced by Gábor Gaál. 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 Gábor Gaál. The network helps show where Gábor Gaál may publish in the future.
Co-authorship network of co-authors of Gábor Gaál
This figure shows the co-authorship network connecting the top 25 collaborators of Gábor Gaál. A scholar is included among the top collaborators of Gábor Gaál 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 Gábor Gaál. Gábor Gaál is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Using 3D/4D modelling tools in exploration for porphyry and manto-polymetallic potential areas in Eastern Chalkidiki peninsula | 0 |
| 2 | 31 | |
| 3 | Global Proterozoic tectonic cycles and early Proterozoic metallogeny | 11 |
| 4 | Computer Applications in Resource Estimation: Prediction and Assessment for Metals and Petroleum | 29 |
| 5 | 15 | |
| 6 | 1 | |
| 7 | 78 | |
| 8 | 44 | |
| 9 | 3 | |
| 10 | 35 | |
| 11 | Precambrian Record of the Eastern North Atlantic Borderlands | 9 |
| 12 | 8 | |
| 13 | 19 | |
| 14 | 36 | |
| 15 | 51 | |
| 16 | 2 | |
| 17 | 11 | |
| 18 | 1 | |
| 19 | Tectonics and stratigraphy of the vicinity of Outokumpu, North Karelia, Finland : including a structural analysis of the Outokumpu ore deposit | 14 |
| 20 | 30 |
About Gábor Gaál
Gábor Gaál is a scholar working on Geophysics, Geochemistry and Petrology and Artificial Intelligence, having authored 22 papers that have together received 1.3k indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (16 papers), Geochemistry and Geologic Mapping (12 papers) and High-pressure geophysics and materials (9 papers). The work is most often cited by research in Geophysics (1.1k citations), Geochemistry and Petrology (134 citations) and Artificial Intelligence (542 citations). Gábor Gaál has collaborated with scholars based in Finland, Sweden and Netherlands. Frequent co-authors include Roland Gorbatschev, Daniel F. Merriam, Richard B. McCammon, Andrea G. Fabbri, Mogens Marker, Krister Sundblad, Asger Berthelsen, P. Raase, D. R. Bowes and Marja Lehtonen. Their work appears in journals such as Tectonophysics, Precambrian Research and Economic 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.