Mateja Hajdinjak

7.9k citations
19 papers · 1.5k indexed · 5 hit papers · h-index 12

Mateja Hajdinjak

17 papers receiving 1.4k citations

Hit Papers

Origins of modern human ancestry1722015202620182022100200300

Peers

Mateja Hajdinjak
Comparison fields: 5 of 121
  • Paleontology 689
  • Anthropology 772
  • Archeology 755
  • Genetics 571
  • Archeology 17
Replace M.V. Shunkov with:
M.V. Shunkov Russia
Ralf W. Schmitz Germany
Frido Welker Denmark
Maja Paunović Croatia
Javier Fortea Spain
Francesco Mallegni Italy
Vladimir B. Doronichev Russia
Liubov V. Golovanova Russia
Isabelle Crevecœur France
Cesare de Filippo Germany
Mateja Hajdinjak relative to M.V. Shunkov Russia M.V. Shunkov's profile →
Citations per field
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M.V. Shunkov · 1×
Citations per year

Countries citing papers authored by Mateja Hajdinjak

Since Specialization
Citations

This map shows the geographic impact of Mateja Hajdinjak'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 Mateja Hajdinjak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mateja Hajdinjak more than expected).

Fields of papers citing papers by Mateja Hajdinjak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mateja Hajdinjak. 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 Mateja Hajdinjak. The network helps show where Mateja Hajdinjak may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Mateja Hajdinjak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mateja Hajdinjak Line = papers co-authored together Mateja Hajdinjak links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 20250
2 202410
3 20230
4 20228
5 20223
6 20213
7
Origins of modern human ancestrybreakdown →
2021172
8 202148
9 202018
10 202054
11 202068
12 201927
13
The genome of the offspring of a Neanderthal mother and a Denisovan fatherbreakdown →
2018239
14
New single amino acid radiocarbon dating and DNA analysis of the Vindija Cave Neanderthals
20171
15
Direct dating of Neanderthal remains from the site of Vindija Cave and implications for the Middle to Upper Paleolithic transitionbreakdown →
201786
16
Palaeoproteomic evidence identifies archaic hominins associated with the Châtelperronian at the Grotte du Rennebreakdown →
2016196
17 201617
18
An early modern human from Romania with a recent Neanderthal ancestorbreakdown →
2015393
19 2015141

About Mateja Hajdinjak

Mateja Hajdinjak is a scholar working on Paleontology, Archeology and Anthropology, having authored 19 papers that have together received 1.5k indexed citations. Recurring topics across this work include Forensic Anthropology and Bioarchaeology Studies (17 papers), Archaeology and ancient environmental studies (14 papers), Pleistocene-Era Hominins and Archaeology (13 papers), Forensic and Genetic Research (10 papers) and Image Processing and 3D Reconstruction (1 paper). The work is most often cited by research in Paleontology (689 citations), Anthropology (772 citations) and Archeology (755 citations). Mateja Hajdinjak has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Matthias Meyer, Svante Pääbo, Pontus Skoglund, Janet Kelso, Kay Prüfer, Sarah Nagel, Chris Stringer, Bence Viola, Eleanor M. L. Scerri and Anders Bergström. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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.

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