John Zerilli

13 papers receiving 489 citations

John Zerilli's Hit Papers

How transparency modulates trust in artificial intelligence 2022 · 132 citations
1320+1+2Years since publication4080120

Peers

John Zerilli
Comparison fields: 5 of 81
  • Health Informatics 100
  • Safety Research 241
  • Artificial Intelligence 202
  • General Decision Sciences 8
  • Cognitive Neuroscience 84
Replace Hao-Fei Cheng with:
Hao-Fei Cheng United States
Reuben Binns United Kingdom
Anat Elhalal United Kingdom
Hasan Mahmud Bangladesh
Janghee Cho United States
Venkatesh Sivaraman United States
Pratyusha Kalluri United States
Nripsuta Ani Saxena United States
Jess Whittlestone United Kingdom
Birte Keller Germany
John Zerilli relative to Hao-Fei Cheng United States Hao-Fei Cheng's profile →
Citations per field
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Hao-Fei Cheng · 1×
Citations per year

Countries citing papers authored by John Zerilli

Since Specialization
Citations

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

Fields of papers citing papers by John Zerilli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside John Zerilli, 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 John Zerilli Line = papers co-authored together John Zerilli links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2018255
2
How transparency modulates trust in artificial intelligence
Hit paper breakdown →
2022132
3 201990
4 202114
5
Government Use of Artificial Intelligence in New Zealand
201912
6 201711
7 20187
8 20215
9 20175
10 20193
11 20142
12 20231
13 20221
14 20071
15 20061
16 20210
17 20220
18 20200

About John Zerilli

John Zerilli is a scholar working on Safety Research, Experimental and Cognitive Psychology, Cognitive Neuroscience, Social Psychology and History and Philosophy of Science, having authored 18 papers that have together received 540 indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (5 papers), Embodied and Extended Cognition (4 papers), Action Observation and Synchronization (3 papers), Artificial Intelligence in Law (3 papers), Law, Economics, and Judicial Systems (2 papers), Language and cultural evolution (2 papers), Explainable Artificial Intelligence (XAI) (2 papers) and Philosophy and History of Science (2 papers). The work is most often cited by research in Health Informatics (100 citations), Safety Research (241 citations), Artificial Intelligence (202 citations), General Decision Sciences (8 citations) and Cognitive Neuroscience (84 citations). John Zerilli has collaborated with scholars based in United Kingdom, Australia and New Zealand. Frequent co-authors include James Maclaurin, Alistair Knott, Colin Gavaghan, Umang Bhatt, Adrian Weller and John Danaher. Their work appears in journals such as Philosophy of Science, Behavioral and Brain Sciences, Biological Theory, Synthese and Philosophical Psychology.

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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