Petr Škrdla

125 total papers · 613 total citations
58 papers, 418 citations indexed

About

Petr Škrdla is a scholar working on Archeology, Anthropology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Petr Škrdla has authored 58 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Archeology, 32 papers in Anthropology and 22 papers in Computer Vision and Pattern Recognition. Recurrent topics in Petr Škrdla's work include Ancient and Medieval Archaeology Studies (36 papers), Pleistocene-Era Hominins and Archaeology (30 papers) and Image Processing and 3D Reconstruction (22 papers). Petr Škrdla is often cited by papers focused on Ancient and Medieval Archaeology Studies (36 papers), Pleistocene-Era Hominins and Archaeology (30 papers) and Image Processing and 3D Reconstruction (22 papers). Petr Škrdla collaborates with scholars based in Czechia, Australia and Ukraine. Petr Škrdla's co-authors include Gilbert Tostevin, Daniel Richter, Yuri E. Demidenko, William Davies, Jiřı́ Svoboda, Miriam Nývltová Fišáková, Antonín Přichystal, Joseba Ríos-Garaizar, Vojen Ložek and Hélèna Svobodova and has published in prestigious journals such as SHILAP Revista de lepidopterología, Quaternary Science Reviews and Journal of Archaeological Science.

In The Last Decade

Petr Škrdla

50 papers receiving 374 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Petr Škrdla 355 305 177 151 44 58 418
D. Stapert 307 0.9× 306 1.0× 166 0.9× 129 0.9× 14 0.3× 71 475
Christine Neugebauer-Maresch 285 0.8× 255 0.8× 183 1.0× 227 1.5× 10 0.2× 27 466
Miriam Nývltová Fišáková 189 0.5× 167 0.5× 155 0.9× 100 0.7× 21 0.5× 40 374
György Lengyel 242 0.7× 252 0.8× 165 0.9× 82 0.5× 13 0.3× 34 428
Thomas Einwögerer 279 0.8× 249 0.8× 164 0.9× 236 1.6× 8 0.2× 28 465
Hermann Parzinger 135 0.4× 217 0.7× 157 0.9× 135 0.9× 8 0.2× 45 423
Marko Porčić 170 0.5× 297 1.0× 203 1.1× 62 0.4× 15 0.3× 40 465
Emanuel Vlček 286 0.8× 213 0.7× 239 1.4× 60 0.4× 14 0.3× 27 396
Philippe Rentzel 194 0.5× 248 0.8× 195 1.1× 138 0.9× 6 0.1× 39 468
Harald Lübke 170 0.5× 302 1.0× 177 1.0× 130 0.9× 14 0.3× 34 491

Countries citing papers authored by Petr Škrdla

Since Specialization
Citations

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

Fields of papers citing papers by Petr Škrdla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Petr Škrdla

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

All Works

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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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2026