Mateusz Baca
Impact in
- Paleontology top 5%
- Archaeology and ancient environmental studies
- Evolution and Paleontology Studies
- Anthropology top 5%
- Pleistocene-Era Hominins and Archaeology
Papers in
- Genetics 21
- Genetic diversity and population structure 10
- Forensic and Genetic Research 9
- Yersinia bacterium, plague, ectoparasites research 5
- Paleontology 17
- Archaeology and ancient environmental studies 12
- Evolution and Paleontology Studies 5
- Co-authors
- Danijela Popović (27 shared papers)Adam Nadachowski (13 shared papers)Piotr Węgleński (11 shared papers)Anna Stanković (9 shared papers)Paweł Mackiewicz (8 shared papers)Krzysztof Stefaniak (7 shared papers)Adrian Marciszak (5 shared papers)Grzegorz Lipecki (3 shared papers)
In The Last Decade
Mateusz Baca
36 papers receiving 393 citations
Peers
Comparison fields: 5 of 63
- Paleontology 196
- Anthropology 151
- Archeology 83
- Ecology 160
- Genetics 142
Countries citing papers authored by Mateusz Baca
This map shows the geographic impact of Mateusz Baca'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 Mateusz Baca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mateusz Baca more than expected).
Fields of papers citing papers by Mateusz Baca
This network shows the impact of papers produced by Mateusz Baca. 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 Mateusz Baca. The network helps show where Mateusz Baca may publish in the future.
Co-authors
The 25 scholars most cited alongside Mateusz Baca, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 51 | |
| 2 | 2016 | 48 | |
| 3 | 2019 | 26 | |
| 4 | 2011 | 26 | |
| 5 | 2014 | 21 | |
| 6 | 2017 | 17 | |
| 7 | 2018 | 17 | |
| 8 | 2013 | 17 | |
| 9 | 2012 | 17 | |
| 10 | 2020 | 16 | |
| 11 | 2018 | 16 | |
| 12 | 2014 | 14 | |
| 13 | 2015 | 11 | |
| 14 | 2022 | 11 | |
| 15 | 2021 | 11 | |
| 16 | 2017 | 10 | |
| 17 | 2020 | 9 | |
| 18 | 2021 | 8 | |
| 19 | 2020 | 7 | |
| 20 | 2016 | 6 |
About Mateusz Baca
Mateusz Baca is a scholar working on Genetics, Paleontology, Ecology, Anthropology and Molecular Biology, having authored 37 papers that have together received 405 indexed citations. Recurring topics across this work include Archaeology and ancient environmental studies (12 papers), Pleistocene-Era Hominins and Archaeology (11 papers), Genetic diversity and population structure (10 papers), Forensic and Genetic Research (9 papers), Wildlife Ecology and Conservation (9 papers), Yersinia bacterium, plague, ectoparasites research (5 papers), Evolution and Paleontology Studies (5 papers) and Isotope Analysis in Ecology (4 papers). The work is most often cited by research in Paleontology (196 citations), Anthropology (151 citations), Archeology (83 citations), Ecology (160 citations) and Genetics (142 citations). Mateusz Baca has collaborated with scholars based in Poland, Germany and Sweden. Frequent co-authors include Danijela Popović, Adam Nadachowski, Piotr Węgleński, Anna Stanković, Paweł Mackiewicz, Krzysztof Stefaniak, Adrian Marciszak, Grzegorz Lipecki, Paweł Socha and Jarosław Wilczyński. Their work appears in journals such as Journal of Archaeological Science Reports, Scientific Reports, Data in Brief, Quaternary International and Palaeontologia Electronica.
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.