Daniel Zielasko

97 total papers · 827 total citations
60 papers, 518 citations indexed

About

Daniel Zielasko is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Daniel Zielasko has authored 60 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Human-Computer Interaction, 34 papers in Computer Vision and Pattern Recognition and 15 papers in Cognitive Neuroscience. Recurrent topics in Daniel Zielasko's work include Virtual Reality Applications and Impacts (45 papers), Augmented Reality Applications (20 papers) and Interactive and Immersive Displays (16 papers). Daniel Zielasko is often cited by papers focused on Virtual Reality Applications and Impacts (45 papers), Augmented Reality Applications (20 papers) and Interactive and Immersive Displays (16 papers). Daniel Zielasko collaborates with scholars based in Germany, Canada and Switzerland. Daniel Zielasko's co-authors include Benjamin Weyers, Torsten Kuhlen, Bernhard E. Riecke, Sebastian Freitag, Tim Weißker, Bernd Hentschel, Neha Neha, Markus von der Heyde, Ernst Kruijff and Alexander Peyser and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, Behavior Research Methods and Computer Graphics Forum.

In The Last Decade

Daniel Zielasko

53 papers receiving 503 citations

Author Peers

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

Author						Papers	Cites
Daniel Zielasko	453	210	170	87	74	60	518
Robin Wolff	434 1.0×	235 1.1×	138 0.8×	90 1.0×	24 0.3×	40	592
Evan Suma Rosenberg	495 1.1×	238 1.1×	157 0.9×	84 1.0×	53 0.7×	39	607
André Kunert	452 1.0×	332 1.6×	96 0.6×	50 0.6×	56 0.8×	20	599
Stephen Hughes	254 0.6×	189 0.9×	186 1.1×	115 1.3×	46 0.6×	27	591
J. Michael Moshell	278 0.6×	185 0.9×	91 0.5×	49 0.6×	46 0.6×	36	537
Mario Lorenz	302 0.7×	196 0.9×	68 0.4×	81 0.9×	31 0.4×	34	515
Márcio Sarroglia Pinho	308 0.7×	269 1.3×	137 0.8×	25 0.3×	30 0.4×	65	515
Michael Rietzler	414 0.9×	144 0.7×	262 1.5×	96 1.1×	20 0.3×	28	577
Timo Götzelmann	307 0.7×	123 0.6×	297 1.7×	37 0.4×	46 0.6×	41	474
Guilherme Gonçalves	402 0.9×	166 0.8×	108 0.6×	111 1.3×	19 0.3×	33	555

Countries citing papers authored by Daniel Zielasko

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Zielasko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Zielasko

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