Volker Paelke

84 total papers · 1.2k total citations
35 papers, 498 citations indexed

About

Volker Paelke is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Sociology and Political Science. According to data from OpenAlex, Volker Paelke has authored 35 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 20 papers in Human-Computer Interaction and 5 papers in Sociology and Political Science. Recurrent topics in Volker Paelke's work include Augmented Reality Applications (18 papers), Interactive and Immersive Displays (16 papers) and Virtual Reality Applications and Impacts (7 papers). Volker Paelke is often cited by papers focused on Augmented Reality Applications (18 papers), Interactive and Immersive Displays (16 papers) and Virtual Reality Applications and Impacts (7 papers). Volker Paelke collaborates with scholars based in Germany, United Kingdom and Austria. Volker Paelke's co-authors include Harry von Piekartz, Christoff Zalpour, Axel Schäfer, Toby Hall, Monika Sester, Christian Geiger, Paul Grimm, Michael Haller, Daniel Eggert and Jason Dykes and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Medical Internet Research and ISPRS Journal of Photogrammetry and Remote Sensing.

In The Last Decade

Volker Paelke

34 papers receiving 453 citations

Author Peers

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

Author						Papers	Cites
Volker Paelke	217	181	97	44	35	35	498
Songül Albayrak	163 0.8×	53 0.3×	16 0.2×	35 0.8×	17 0.5×	81	506
Markus Wiedemann	159 0.7×	226 1.2×	15 0.2×	21 0.5×	12 0.3×	24	566
Marc Hesenius	41 0.2×	65 0.4×	47 0.5×	86 2.0×	43 1.2×	45	485
Antti Nurminen	171 0.8×	81 0.4×	57 0.6×	28 0.6×	51 1.5×	27	537
Miguel González-Mendoza	285 1.3×	74 0.4×	57 0.6×	49 1.1×	36 1.0×	74	609
David J. Kasik	136 0.6×	173 1.0×	42 0.4×	61 1.4×	39 1.1×	38	502
Josef Wolfartsberger	239 1.1×	276 1.5×	150 1.5×	26 0.6×	15 0.4×	34	540
Salman Ahmad	120 0.6×	89 0.5×	9 0.1×	103 2.3×	45 1.3×	47	580
John L. Salmon	121 0.6×	154 0.9×	82 0.8×	14 0.3×	14 0.4×	68	576
Mihai Duguleană	280 1.3×	131 0.7×	35 0.4×	43 1.0×	35 1.0×	29	596

Countries citing papers authored by Volker Paelke

Since Specialization

Citations

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

Fields of papers citing papers by Volker Paelke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Volker Paelke

This figure shows the co-authorship network connecting the top 25 collaborators of Volker Paelke. A scholar is included among the top collaborators of Volker Paelke 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 Volker Paelke. Volker Paelke 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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