Jess Hohenstein

624 citations
12 papers · 376 indexed · h-index 8

Impact in

Papers in

Jess Hohenstein

12 papers receiving 365 citations

Peers

Jess Hohenstein
Comparison fields: 5 of 92
  • Health Informatics 20
  • Safety Research 67
  • Human-Computer Interaction 33
  • Social Psychology 94
  • Artificial Intelligence 127
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Astrid Carolus Germany
Stephan Schlögl Austria
Hanna Schneider Germany
Yue Dai Hong Kong
Qiaosi Wang United States
Isabel Pedersen Canada
Zhenhui Peng Hong Kong
Styliani Kleanthous Cyprus
Victoria L. Lowell United States
Jess Hohenstein relative to Astrid Carolus Germany Astrid Carolus's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jess Hohenstein

Since Specialization
Citations

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

Fields of papers citing papers by Jess Hohenstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Jess Hohenstein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jess Hohenstein Line = papers co-authored together Jess Hohenstein links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 20234
2 202371
3 20223
4 202221
5 202138
6 2019102
7 20184
8 201827
9 20178
10 201667
11 201630
12
Facility profile. An environment for children and family.
20011

About Jess Hohenstein

Jess Hohenstein is a scholar working on Human-Computer Interaction, Information Systems and Management, Safety Research, Social Psychology and Management Information Systems, having authored 12 papers that have together received 376 indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (2 papers), Speech and dialogue systems (2 papers), Biosensors and Analytical Detection (2 papers), AI in Service Interactions (2 papers), Innovative Human-Technology Interaction (2 papers), SARS-CoV-2 detection and testing (2 papers), Mobile Health and mHealth Applications (2 papers) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Health Informatics (20 citations), Safety Research (67 citations), Human-Computer Interaction (33 citations), Social Psychology (94 citations) and Artificial Intelligence (127 citations). Jess Hohenstein has collaborated with scholars based in United States. Frequent co-authors include Malte Jung, Hannah Mieczkowski, Jeffrey T. Hancock, Mor Naaman, Dakota O’Dell, Seoho Lee, David Erickson, Saurabh Mehta, Susannah Colt and Dominic DiFranzo. Their work appears in journals such as Computers in Human Behavior, Scientific Reports, Proceedings of the ACM on Human-Computer Interaction, JMIR Human Factors and Proceedings of the ... Annual Hawaii International Conference on System Sciences.

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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