Eva Lenz

34 total papers · 578 total citations
23 papers, 381 citations indexed

About

Eva Lenz is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Social Psychology. According to data from OpenAlex, Eva Lenz has authored 23 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Human-Computer Interaction, 5 papers in Cognitive Neuroscience and 4 papers in Social Psychology. Recurrent topics in Eva Lenz's work include Innovative Human-Technology Interaction (11 papers), Design Education and Practice (4 papers) and Influenza Virus Research Studies (3 papers). Eva Lenz is often cited by papers focused on Innovative Human-Technology Interaction (11 papers), Design Education and Practice (4 papers) and Influenza Virus Research Studies (3 papers). Eva Lenz collaborates with scholars based in Germany, United States and Egypt. Eva Lenz's co-authors include Marc Hassenzahl, Sarah Diefenbach, Matthias Laschke, Kai Eckoldt, Joonhwan Kim, Stephan Pleschka, Zhongfang Wang, Ervin Fodor, Nicole C. Robb and Thorsten Wolff and has published in prestigious journals such as Journal of Virology, Neuropsychologia and The Journal of Positive Psychology.

In The Last Decade

Eva Lenz

23 papers receiving 362 citations

Author Peers

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

Author						Papers	Cites
Eva Lenz	190	95	61	53	48	23	381
Martin Johansson	80 0.4×	115 1.2×	35 0.6×	19 0.4×	69 1.4×	49	381
Sam Waller	107 0.6×	54 0.6×	22 0.4×	12 0.2×	42 0.9×	22	397
Norene Kelly	47 0.2×	81 0.9×	36 0.6×	10 0.2×	25 0.5×	11	396
Ahmed Farooq	141 0.7×	113 1.2×	23 0.4×	12 0.2×	132 2.8×	43	382
Aude Dufresne	133 0.7×	29 0.3×	29 0.5×	14 0.3×	127 2.6×	39	353
Benjamin T. Carter	124 0.7×	45 0.5×	26 0.4×	10 0.2×	124 2.6×	14	412
Brandon K. Burr	165 0.9×	106 1.1×	100 1.6×	10 0.2×	37 0.8×	26	417
Sarah J. Swierenga	89 0.5×	49 0.5×	46 0.8×	66 1.2×	47 1.0×	32	417
Yongsoon Choi	234 1.2×	88 0.9×	26 0.4×	5 0.1×	104 2.2×	36	443
Phil Turner	182 1.0×	48 0.5×	82 1.3×	3 0.1×	38 0.8×	36	404

Countries citing papers authored by Eva Lenz

Since Specialization

Citations

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

Fields of papers citing papers by Eva Lenz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Lenz

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