Marcin Budka
Impact in
- Paleontology top 5%
- Archaeology and ancient environmental studies
- Evolution and Paleontology Studies
- Anthropology top 5%
- Pleistocene-Era Hominins and Archaeology
Papers in
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- Neural Networks and Applications 6
-
- Complex Network Analysis Techniques 9
- Opinion Dynamics and Social Influence 9
- Co-authors
- Bogdan Gabryś (14 shared papers)Christiane Lemke (1 shared paper)Katarzyna Musiał (10 shared papers)Matthew R. Bennett (11 shared papers)Krzysztof Juszczyszyn (7 shared papers)Sally C. Reynolds (8 shared papers)Daniel Odess (3 shared papers)Vincent Santucci (3 shared papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Science & Justice (1 paper)Neurocomputing (1 paper)Information Sciences (1 paper)PLoS ONE (1 paper)
- Partner nations
- United KingdomPolandAustralia
In The Last Decade
Marcin Budka
54 papers receiving 877 citations
Marcin Budka's Hit Papers
Peers
Comparison fields: 5 of 129
- Paleontology 158
- Anthropology 159
- Health Informatics 13
- Artificial Intelligence 317
- Statistical and Nonlinear Physics 116
Countries citing papers authored by Marcin Budka
This map shows the geographic impact of Marcin Budka'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 Marcin Budka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcin Budka more than expected).
Fields of papers citing papers by Marcin Budka
This network shows the impact of papers produced by Marcin Budka. 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 Marcin Budka. The network helps show where Marcin Budka may publish in the future.
Co-authors
The 25 scholars most cited alongside Marcin Budka, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 229 | |
| 2 | Evidence of humans in North America during the Last Glacial Maximum Hit paper breakdown → | 2021 | 110 |
| 3 | 2018 | 44 | |
| 4 | 2011 | 39 | |
| 5 | 2019 | 30 | |
| 6 | 2016 | 29 | |
| 7 | 2014 | 26 | |
| 8 | 2020 | 26 | |
| 9 | 2011 | 25 | |
| 10 | 2018 | 24 | |
| 11 | 2012 | 21 | |
| 12 | 2018 | 21 | |
| 13 | 2012 | 20 | |
| 14 | 2024 | 17 | |
| 15 | 2018 | 17 | |
| 16 | 2010 | 17 | |
| 17 | 2010 | 15 | |
| 18 | 2024 | 15 | |
| 19 | 2013 | 12 | |
| 20 | 2018 | 12 |
About Marcin Budka
Marcin Budka is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Signal Processing, Sociology and Political Science and Paleontology, having authored 58 papers that have together received 902 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (9 papers), Opinion Dynamics and Social Influence (9 papers), Neural Networks and Applications (6 papers), Pleistocene-Era Hominins and Archaeology (6 papers), Blind Source Separation Techniques (5 papers), Traffic Prediction and Management Techniques (5 papers), Transportation Planning and Optimization (4 papers) and Fault Detection and Control Systems (4 papers). The work is most often cited by research in Paleontology (158 citations), Anthropology (159 citations), Health Informatics (13 citations), Artificial Intelligence (317 citations) and Statistical and Nonlinear Physics (116 citations). Marcin Budka has collaborated with scholars based in United Kingdom, Poland and Australia. Frequent co-authors include Bogdan Gabryś, Christiane Lemke, Katarzyna Musiał, Matthew R. Bennett, Krzysztof Juszczyszyn, Sally C. Reynolds, Daniel Odess, Vincent Santucci, David Bustos and Patrick J. Martinez. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Science & Justice, Neurocomputing, Information Sciences and PLoS ONE.
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.