Pál Raczky

2.3k total citations · 1 hit paper
35 papers, 848 citations indexed

About

Pál Raczky is a scholar working on Archeology, Paleontology and Geography, Planning and Development. According to data from OpenAlex, Pál Raczky has authored 35 papers receiving a total of 848 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Archeology, 19 papers in Paleontology and 6 papers in Geography, Planning and Development. Recurrent topics in Pál Raczky's work include Ancient and Medieval Archaeology Studies (22 papers), Archaeology and ancient environmental studies (19 papers) and Pleistocene-Era Hominins and Archaeology (5 papers). Pál Raczky is often cited by papers focused on Ancient and Medieval Archaeology Studies (22 papers), Archaeology and ancient environmental studies (19 papers) and Pleistocene-Era Hominins and Archaeology (5 papers). Pál Raczky collaborates with scholars based in Hungary, Germany and United Kingdom. Pál Raczky's co-authors include Alexandra Anders, Ron Pinhasi, Michael Hofreiter, László Domboróczki, Ildikó Pap, János Dani, Daniel G. Bradley, Russell L. McLaughlin, Gloria G. Fortes and Valeria Mattiangeli and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Pál Raczky

29 papers receiving 803 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Genome flux and stasis in a five millennium transect of European prehistory

2014 389 citations Cristina Gamba, Eppie R. Jones et al. Nature Communications profile →

Peers

Pál Raczky

GENET

ARCHE

PALEO

MB

ANTHR

Alexandra Anders Hungary

János Dani Hungary

Daniel Fernandes Portugal

Kristiina Tambets Estonia

Sergey Koshel Russia

László Domboróczki Hungary

Meaghan Mackie Denmark

Eva Fernández‐Domínguez Spain

Miquel Molist Spain

Renata Grifoni Cremonesi Italy

Alexandra Anders Hungary

Pál Raczky

527 ×1.0

GENET

399 ×0.8

ARCHE

273 ×0.8

PALEO

150 ×1.0

MB

78 ×0.6

ANTHR

Citations per year, relative to Pál Raczky Pál Raczky (= 1×) peers Alexandra Anders

Countries citing papers authored by Pál Raczky

Since Specialization

Citations

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

Fields of papers citing papers by Pál Raczky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pál Raczky

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

All Works

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20 of 20 papers shown

1.

Szécsényi‐Nagy, Anna, Cristian Virag, Nadin Rohland, et al.. (2025). Ancient DNA reveals diverse community organizations in the 5th millennium BCE Carpathian Basin. Nature Communications. 16(1). 5318–5318.

2.

Magyari, Enikő K., et al.. (2024). Review on vegetation, landscape and climate changes in the Carpathian Basin during the Neolithic and Chalcolithic period. Vegetation History and Archaeobotany. 33(6). 769–794. 2 indexed citations

3.

Rassmann, Knut, et al.. (2023). On the ‘pseudo-ditch’ system of the Late Neolithic Öcsöd-Kováshalom settlement complex on the Great Hungarian Plain. Documenta Praehistorica. 50. 82–109. 3 indexed citations

4.

Anders, Alexandra, Pál Raczky, Krisztina Somogyi, et al.. (2023). Tuberculosis in prehistory in Eastern Central Europe (Hungary) – Chronological and geographical distribution. Tuberculosis. 143. 102396–102396. 2 indexed citations

5.

Rassmann, Knut, et al.. (2021). Test excavation of the “pseudo-ditch” system of the Late Neolithic settlement complex at Öcsöd-Kováshalom on the Great Hungarian Plain. SHILAP Revista de lepidopterología. 3(8). 141–164. 1 indexed citations

6.

Raczky, Pál, et al.. (2021). Középtávú régészeti stratégia•. Repository of the Academy's Library (Library of the Hungarian Academy of Sciences). 146(1). 225–246.

7.

May, Zoltán, et al.. (2021). Bucrania revisited: Exploring the chaîne opératoire of bucranium figurines of the Körös culture from the 6th millennium. Journal of Archaeological Science Reports. 37. 102982–102982.

8.

Raczky, Pál, et al.. (2019). Öcsöd-Kováshalom. Potscape of a Late Neolithic site in the Tisza region. SHILAP Revista de lepidopterología. 43–146. 6 indexed citations

9.

Gamarra, Beatriz, Rachel Howcroft, János Dani, et al.. (2018). 5000 years of dietary variations of prehistoric farmers in the Great Hungarian Plain. PLoS ONE. 13(5). e0197214–e0197214. 21 indexed citations

10.

Raczky, Pál, et al.. (2018). Tiszaug-Railway-station. An archaic Middle Neolithic community on the Great Hungarian Plain. SHILAP Revista de lepidopterología. 7–66. 4 indexed citations

11.

Raczky, Pál, et al.. (2017). Öcsöd-Kováshalom. A retrospective look at the interpretations of a Late Neolithic site. SHILAP Revista de lepidopterología. 9–42. 2 indexed citations

12.

Raczky, Pál & Alexandra Anders. (2016). Polgár-Bosnyákdomb, a Late Neolithic tell-like settlement on Polgár Island (NE Hungary). Preliminary results of the investigations. 2016. 6 indexed citations

13.

Pinhasi, Ron, Daniel Fernandes, Kendra Sirak, et al.. (2015). Optimal Ancient DNA Yields from the Inner Ear Part of the Human Petrous Bone. PLoS ONE. 10(6). e0129102–e0129102. 255 indexed citations

14.

Gamba, Cristina, Eppie R. Jones, Matthew D. Teasdale, et al.. (2014). Genome flux and stasis in a five millennium transect of European prehistory. Nature Communications. 5(1). 5257–5257. 389 indexed citations breakdown →

15.

Sebők, Katalin, et al.. (2013). Analysis of pigments on vessels from well 272 at Polgár-Csőszhalom. 138(1). 29–79. 1 indexed citations

16.

Raczky, Pál & Alexandra Anders. (2010). Archaeological research at a late neolithic settlement – Polgár-Bosnyákdomb (Preliminary report). 134(1). 5–21. 5 indexed citations

17.

Anders, Alexandra, et al.. (2010). Magyarországi tell-települések régészeti katasztere. 135(1). 147–160. 3 indexed citations

18.

Schlanger, Nathan, Jean-Paul Demoule, Anthony Sinclair, et al.. (2010). Archaeology and the global economic crisis. Multiple impacts, possible solutions (ed. Nathan Schlanger and Kenneth Aitchison). DIGITAL.CSIC (Spanish National Research Council (CSIC)). 11 indexed citations

19.

Raczky, Pál. (2000). A unique face pot from the Öcsöd-Kováshalom settlement of the Tisza culture.. 51(1). 9–22. 2 indexed citations

20.

Raczky, Pál. (1992). The Tisza Culture of the Great Hungarian Plain. 162–176. 5 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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