Petr Kuneš
- Atmospheric Science top 2%
- Paleontology top 2%
- Anthropology top 1%
- Ecology top 5%
- Ecology, Evolution, Behavior and Systematics top 5%
- Co-authors
- Petr PokornýHélèna SvobodovaMarie‐José GaillardBarbora PelánkováVojtěch AbrahámThomas GieseckeMilan ChytrýVlasta Jankovská
- Topics
- Geology and Paleoclimatology Research (47 papers)Pleistocene-Era Hominins and Archaeology (13 papers)Lichen and fungal ecology (11 papers)
- Partner nations
- CzechiaGermanyUnited Kingdom
In The Last Decade
Petr Kuneš
56 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Atmospheric Science 1.2k
- Paleontology 396
- Anthropology 373
- Ecology 359
- Ecology, Evolution, Behavior and Systematics 317
Countries citing papers authored by Petr Kuneš
This map shows the geographic impact of Petr Kuneš'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 Petr Kuneš with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Petr Kuneš more than expected).
Fields of papers citing papers by Petr Kuneš
This network shows the impact of papers produced by Petr Kuneš. 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 Petr Kuneš. The network helps show where Petr Kuneš may publish in the future.
Co-authorship network of co-authors of Petr Kuneš
This figure shows the co-authorship network connecting the top 25 collaborators of Petr Kuneš. A scholar is included among the top collaborators of Petr Kuneš 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 Petr Kuneš. Petr Kuneš is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 8 | |
| 7 | 10 | |
| 8 | 8 | |
| 9 | 12 | |
| 10 | 8 | |
| 11 | 37 | |
| 12 | 31 | |
| 13 | A pollen-based quantitative reconstruction of the Holocenevegetation updates a perspective on the natural vegetation inthe Czech Republic and Slovakia | 13 |
| 14 | 18 | |
| 15 | 105 | |
| 16 | 47 | |
| 17 | 25 | |
| 18 | 2 | |
| 19 | Pollen-inferred quantitative reconstructions of Holocene land-cover in NW Europe for the evaluation of past climate-vegetation feedbacks III : Evaluation of the REVEALS-based reconstructions using the Czech Republic pollen database | 4 |
| 20 | : Czech Quaternary Palynological Database - PALYCZ: review andbasic statistics of the data | 34 |
About Petr Kuneš
Petr Kuneš is a scholar working on Atmospheric Science, Anthropology and Paleontology, having authored 57 papers that have together received 1.8k indexed citations. Recurring topics across this work include Geology and Paleoclimatology Research (47 papers), Pleistocene-Era Hominins and Archaeology (13 papers) and Lichen and fungal ecology (11 papers). The work is most often cited by research in Atmospheric Science (1.2k citations), Paleontology (396 citations) and Anthropology (373 citations). Petr Kuneš has collaborated with scholars based in Czechia, Germany and United Kingdom. Frequent co-authors include Petr Pokorný, Hélèna Svobodova, Marie‐José Gaillard, Barbora Pelánková, Vojtěch Abrahám, Thomas Giesecke, Milan Chytrý, Vlasta Jankovská, Péter Szabó and S. Sugita. Their work appears in journals such as Science, PLoS ONE and The Science of The Total Environment.
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.