Nick Tandavanitj

34 total papers · 1.7k total citations
22 papers, 999 citations indexed

About

Nick Tandavanitj is a scholar working on Human-Computer Interaction, Sociology and Political Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nick Tandavanitj has authored 22 papers receiving a total of 999 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Human-Computer Interaction, 6 papers in Sociology and Political Science and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nick Tandavanitj's work include Innovative Human-Technology Interaction (12 papers), Digital Games and Media (4 papers) and Interactive and Immersive Displays (4 papers). Nick Tandavanitj is often cited by papers focused on Innovative Human-Technology Interaction (12 papers), Digital Games and Media (4 papers) and Interactive and Immersive Displays (4 papers). Nick Tandavanitj collaborates with scholars based in United Kingdom, Germany and China. Nick Tandavanitj's co-authors include Matt Adams, Steve Benford, Martin Flintham, Andy Crabtree, Ju Row-Farr, Rob Anastasi, Adam Drozd, Chris Greenhalgh, Mark Paxton and Ju Row Farr and has published in prestigious journals such as ACM Transactions on Computer-Human Interaction, Human-Computer Interaction and IEEE Pervasive Computing.

In The Last Decade

Nick Tandavanitj

19 papers receiving 889 citations

Author Peers

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

Author						Papers	Cites
Nick Tandavanitj	660	387	237	105	92	22	999
Matt Adams	769 1.2×	433 1.1×	312 1.3×	116 1.1×	92 1.0×	33	1.2k
Adam Drozd	605 0.9×	349 0.9×	263 1.1×	132 1.3×	91 1.0×	14	946
Ju Row-Farr	540 0.8×	349 0.9×	189 0.8×	99 0.9×	86 0.9×	8	807
Carsten Magerkurth	658 1.0×	456 1.2×	219 0.9×	186 1.8×	164 1.8×	41	1.1k
Scott Sherwood	617 0.9×	264 0.7×	371 1.6×	72 0.7×	90 1.0×	22	1.2k
Peter Ljungstrand	368 0.6×	220 0.6×	220 0.9×	95 0.9×	78 0.8×	36	909
Elena Not	382 0.6×	393 1.0×	122 0.5×	54 0.5×	52 0.6×	42	883
Paul Tennent	579 0.9×	206 0.5×	171 0.7×	84 0.8×	48 0.5×	50	913
Vaiva Kalnikaitė	479 0.7×	202 0.5×	115 0.5×	58 0.6×	42 0.5×	29	898
Marek Bell	520 0.8×	210 0.5×	378 1.6×	71 0.7×	75 0.8×	19	1.0k

Countries citing papers authored by Nick Tandavanitj

Since Specialization

Citations

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

Fields of papers citing papers by Nick Tandavanitj

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nick Tandavanitj

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