Tim Kerig

1.7k total citations · 2 hit papers
24 papers, 1.2k citations indexed

About

Tim Kerig is a scholar working on Paleontology, Anthropology and Archeology. According to data from OpenAlex, Tim Kerig has authored 24 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Paleontology, 7 papers in Anthropology and 5 papers in Archeology. Recurrent topics in Tim Kerig's work include Archaeology and ancient environmental studies (12 papers), Pleistocene-Era Hominins and Archaeology (7 papers) and Language and cultural evolution (4 papers). Tim Kerig is often cited by papers focused on Archaeology and ancient environmental studies (12 papers), Pleistocene-Era Hominins and Archaeology (7 papers) and Language and cultural evolution (4 papers). Tim Kerig collaborates with scholars based in United Kingdom, Germany and United States. Tim Kerig's co-authors include Stephen Shennan, Kevan Edinborough, Sue Colledge, Adrian Timpson, Katie Manning, Mark Thomas, Enrico R. Crema, Sean S. Downey, Jutta Lechterbeck and Emmy Bocaege and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Tim Kerig

23 papers receiving 1.2k citations

Hit Papers

Regional population collapse followed initial agriculture... 2013 2026 2017 2021 2013 2014 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tim Kerig United Kingdom 11 820 532 357 219 192 24 1.2k
Enrico R. Crema United Kingdom 22 1.2k 1.4× 683 1.3× 458 1.3× 324 1.5× 331 1.7× 60 1.8k
Katie Manning United Kingdom 15 932 1.1× 687 1.3× 488 1.4× 313 1.4× 226 1.2× 28 1.5k
Adrian Timpson United Kingdom 15 859 1.0× 589 1.1× 447 1.3× 290 1.3× 212 1.1× 24 1.5k
Kenneth M. Ames United States 18 832 1.0× 620 1.2× 193 0.5× 238 1.1× 190 1.0× 67 1.2k
Marc Vander Linden United Kingdom 19 892 1.1× 458 0.9× 192 0.5× 465 2.1× 210 1.1× 66 1.3k
Huw Barton United Kingdom 21 719 0.9× 589 1.1× 183 0.5× 306 1.4× 582 3.0× 46 1.4k
Herbert D. G. Maschner United States 18 714 0.9× 417 0.8× 174 0.5× 228 1.0× 230 1.2× 47 1.4k
Mike Parker Pearson United Kingdom 26 965 1.2× 527 1.0× 158 0.4× 708 3.2× 251 1.3× 102 1.7k
Thomas E. Emerson United States 22 1.0k 1.3× 810 1.5× 150 0.4× 281 1.3× 171 0.9× 91 1.7k
Kevan Edinborough United Kingdom 22 1.6k 1.9× 1.0k 2.0× 815 2.3× 448 2.0× 433 2.3× 48 2.2k

Countries citing papers authored by Tim Kerig

Since Specialization
Citations

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

Fields of papers citing papers by Tim Kerig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Kerig

This figure shows the co-authorship network connecting the top 25 collaborators of Tim Kerig. A scholar is included among the top collaborators of Tim Kerig 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 Tim Kerig. Tim Kerig is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bogaard, Amy, Pablo Cruz, Mattia Fochesato, et al.. (2025). Labor, land, and the global dynamics of economic inequality. Proceedings of the National Academy of Sciences. 122(16). e2400694122–e2400694122. 5 indexed citations
3.
Lechterbeck, Jutta & Tim Kerig. (2024). Inventions, innovations and the origins of spelt wheat. Vegetation History and Archaeobotany. 33(4). 547–557. 4 indexed citations
5.
Kerig, Tim, Johanna Hilpert, Daniel Berger, et al.. (2023). Interlinking research: the Big Exchange project. Antiquity. 97(394). 3 indexed citations
6.
Schauer, Peter, Stephen Shennan, Andrew Bevan, et al.. (2020). Cycles in Stone Mining and Copper Circulation in Europe 5500–2000bc: A View from Space. European Journal of Archaeology. 24(2). 204–225. 3 indexed citations
7.
Schauer, Peter, Andrew Bevan, Stephen Shennan, et al.. (2019). British Neolithic Axehead Distributions and Their Implications. Journal of Archaeological Method and Theory. 27(4). 836–859. 12 indexed citations
8.
Schauer, Peter, Stephen Shennan, Andrew Bevan, et al.. (2019). Supply and demand in prehistory? Economics of Neolithic mining in northwest Europe. Journal of Anthropological Archaeology. 54. 149–160. 10 indexed citations
9.
Shennan, Stephen, et al.. (2017). Supply and Demand in Prehistory? Economics of Neolithic Mining in NW Europe (NEOMINE). SHILAP Revista de lepidopterología. 20(1). 1 indexed citations
10.
Crema, Enrico R., Tim Kerig, & Stephen Shennan. (2014). Culture, space, and metapopulation: a simulation-based study for evaluating signals of blending and branching. Journal of Archaeological Science. 43. 289–298. 42 indexed citations
11.
Timpson, Adrian, Sue Colledge, Enrico R. Crema, et al.. (2014). Reconstructing regional population fluctuations in the European Neolithic using radiocarbon dates: a new case-study using an improved method. Journal of Archaeological Science. 52. 549–557. 267 indexed citations breakdown →
12.
Downey, Sean S., Emmy Bocaege, Tim Kerig, Kevan Edinborough, & Stephen Shennan. (2014). The Neolithic Demographic Transition in Europe: Correlation with Juvenility Index Supports Interpretation of the Summed Calibrated Radiocarbon Date Probability Distribution (SCDPD) as a Valid Demographic Proxy. PLoS ONE. 9(8). e105730–e105730. 74 indexed citations
13.
Lechterbeck, Jutta, Kevan Edinborough, Tim Kerig, et al.. (2014). Is Neolithic land use correlated with demography? An evaluation of pollen-derived land cover and radiocarbon-inferred demographic change from Central Europe. The Holocene. 24(10). 1297–1307. 49 indexed citations
14.
Manning, Katie, Adrian Timpson, Sue Colledge, et al.. (2014). The chronology of culture: a comparative assessment of European Neolithic dating approaches. Antiquity. 88(342). 1065–1080. 30 indexed citations
15.
Shennan, Stephen, Enrico R. Crema, & Tim Kerig. (2014). Isolation-by-distance, homophily, and “core” vs. “package” cultural evolution models in Neolithic Europe. Evolution and Human Behavior. 36(2). 103–109. 68 indexed citations
16.
Shennan, Stephen, Sean S. Downey, Adrian Timpson, et al.. (2013). Regional population collapse followed initial agriculture booms in mid-Holocene Europe. Nature Communications. 4(1). 2486–2486. 522 indexed citations breakdown →
19.
Kerig, Tim. (2008). Hanau-Mittelbuchen Siedlung und Erdwerk der bandkeramischen Kultur ; Materialvorlage, Chronologie, Versuch einer handlungstheoretischen Interpretation. UCL Discovery (University College London). 4 indexed citations
20.
Kerig, Tim & Jutta Lechterbeck. (2003). Laminated sediments, human impact, and a multivariate approach: a case study in linking palynology and archaeology (Steisslingen, Southwest Germany). Quaternary International. 113(1). 19–39. 15 indexed citations

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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