Valdemar Danry

26 total papers · 637 total citations
17 papers, 336 citations indexed

About

Valdemar Danry is a scholar working on Human-Computer Interaction, Artificial Intelligence and Social Psychology. According to data from OpenAlex, Valdemar Danry has authored 17 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Human-Computer Interaction, 6 papers in Artificial Intelligence and 5 papers in Social Psychology. Recurrent topics in Valdemar Danry's work include Virtual Reality Applications and Impacts (5 papers), Explainable Artificial Intelligence (XAI) (4 papers) and Topic Modeling (4 papers). Valdemar Danry is often cited by papers focused on Virtual Reality Applications and Impacts (5 papers), Explainable Artificial Intelligence (XAI) (4 papers) and Topic Modeling (4 papers). Valdemar Danry collaborates with scholars based in United States, Japan and Australia. Valdemar Danry's co-authors include Pat Pataranutaporn, Pattie Maes, Misha Sra, Joanne Leong, Parinya Punpongsanon, Pattie Maes, Alyssa P. Lawson, Florian Perteneder, Florian Mueller and Sang-won Leigh and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, IEEE Computer Graphics and Applications and Nature Machine Intelligence.

In The Last Decade

Valdemar Danry

15 papers receiving 319 citations

Author Peers

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

Author						Papers	Cites
Valdemar Danry	98	67	49	45	44	17	336
Aaron Springer	101 1.0×	52 0.8×	50 1.0×	27 0.6×	22 0.5×	17	343
Anton Kunnari	91 0.9×	33 0.5×	70 1.4×	18 0.4×	23 0.5×	18	303
John Joon Young Chung	136 1.4×	108 1.6×	21 0.4×	57 1.3×	91 2.1×	25	388
Peter Worthy	52 0.5×	73 1.1×	35 0.7×	44 1.0×	19 0.4×	42	324
Bingsheng Yao	164 1.7×	54 0.8×	56 1.1×	11 0.2×	37 0.8×	28	345
Hanna Schneider	103 1.1×	106 1.6×	24 0.5×	21 0.5×	29 0.7×	12	307
Q. Vera Liao	219 2.2×	51 0.8×	71 1.4×	21 0.5×	15 0.3×	12	305
Md. Iftekhar Tanveer	106 1.1×	71 1.1×	101 2.1×	16 0.4×	49 1.1×	11	329
Dan Conway	89 0.9×	28 0.4×	82 1.7×	15 0.3×	26 0.6×	15	314
Christian Guckelsberger	132 1.3×	48 0.7×	39 0.8×	15 0.3×	53 1.2×	25	348

Countries citing papers authored by Valdemar Danry

Since Specialization

Citations

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

Fields of papers citing papers by Valdemar Danry

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valdemar Danry

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