Daniela Hofmann
- Paleontology top 2%
- Archeology top 0.5%
- Anthropology top 2%
- Genetics
- Geography, Planning and Development top 2%
- Co-authors
- Alasdair WhittleCatherine J. FriemanBarbara HammerPenny BickleJessica SmythFrank-Michael SchleifDouglass W. BaileyEva Lenneis
- Topics
- Archaeology and ancient environmental studies (26 papers)Pleistocene-Era Hominins and Archaeology (14 papers)Forensic Anthropology and Bioarchaeology Studies (7 papers)
- Cited by
- PaleontologyArcheologyAnthropology
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaNeurocomputing
- Partner nations
- GermanyUnited KingdomNorway
In The Last Decade
Daniela Hofmann
46 papers receiving 700 citations
Peers
Comparison fields: 5 of 91
- Paleontology 491
- Archeology 322
- Anthropology 247
- Genetics 130
- Geography, Planning and Development 87
Countries citing papers authored by Daniela Hofmann
This map shows the geographic impact of Daniela Hofmann'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 Daniela Hofmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Hofmann more than expected).
Fields of papers citing papers by Daniela Hofmann
This network shows the impact of papers produced by Daniela Hofmann. 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 Daniela Hofmann. The network helps show where Daniela Hofmann may publish in the future.
Co-authorship network of co-authors of Daniela Hofmann
This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Hofmann. A scholar is included among the top collaborators of Daniela Hofmann 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 Daniela Hofmann. Daniela Hofmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 6 | |
| 9 | 2 | |
| 10 | 5 | |
| 11 | 5 | |
| 12 | 2 | |
| 13 | 23 | |
| 14 | 65 | |
| 15 | 4 | |
| 16 | 54 | |
| 17 | Sparse approximations for kernel learning vector quantization | 2 |
| 18 | Tracking the neolithic house in Europe : sedentism, architecture and practice | 25 |
| 19 | Discriminative probabilistic prototype based models in kernel space | 0 |
| 20 | Living Well Together? Settlement and Materiality in the Neolithic of South-East and Central Europe | 42 |
About Daniela Hofmann
Daniela Hofmann is a scholar working on Paleontology, Anthropology and Archeology, having authored 50 papers that have together received 747 indexed citations. Recurring topics across this work include Archaeology and ancient environmental studies (26 papers), Pleistocene-Era Hominins and Archaeology (14 papers) and Forensic Anthropology and Bioarchaeology Studies (7 papers). The work is most often cited by research in Paleontology (491 citations), Archeology (322 citations) and Anthropology (247 citations). Daniela Hofmann has collaborated with scholars based in Germany, United Kingdom and Norway. Frequent co-authors include Alasdair Whittle, Catherine J. Frieman, Barbara Hammer, Penny Bickle, Jessica Smyth, Frank-Michael Schleif, Douglass W. Bailey, Eva Lenneis, R. Alexander Bentley and Gisela Grupe. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Neurocomputing.
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.