William Isaac

14 papers receiving 679 citations

William Isaac's Hit Papers

Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence 2020 · 318 citations
3180+2+4Years since publication100200300

Peers

William Isaac
Comparison fields: 5 of 118
  • Safety Research 294
  • Health Informatics 47
  • Human-Computer Interaction 32
  • Artificial Intelligence 157
  • Computer Science Applications 25
Replace Luke Munn with:
Luke Munn Australia
Jacob Metcalf United States
Rowena Rodrigues United Kingdom
Daniel Greene United States
Jason Schultz United States
Madeleine Clare Elish United States
Emanuel Moss United States
Kevin Macnish United Kingdom
P. M. Krafft United States
Jennifer Cobbe United Kingdom
William Isaac relative to Luke Munn Australia Luke Munn's profile →
Citations per field
00.5×10×15×19.5×
Luke Munn · 1×
Citations per year

Countries citing papers authored by William Isaac

Since Specialization
Citations

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

Fields of papers citing papers by William Isaac

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside William Isaac, 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 William Isaac Line = papers co-authored together William Isaac links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence
Hit paper breakdown →
2020318
2 2016250
3 201666
4 201625
5 202416
6 202015
7 202310
8 201710
9 201610
10
Hope, Hype, and Fear: The Promise and Potential Pitfalls of Artificial Intelligence in Criminal Justice
20188
11 20115
12 20174
13 20243
14 20252
15 20240

About William Isaac

William Isaac is a scholar working on Safety Research, Sociology and Political Science, Information Systems, Cognitive Neuroscience and Artificial Intelligence, having authored 15 papers that have together received 742 indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (5 papers), Crime Patterns and Interventions (2 papers), IoT-based Smart Home Systems (1 paper), Open Source Software Innovations (1 paper), Water Quality Monitoring Technologies (1 paper), Psychology of Moral and Emotional Judgment (1 paper), Spectroscopy and Chemometric Analyses (1 paper) and Atmospheric and Environmental Gas Dynamics (1 paper). The work is most often cited by research in Safety Research (294 citations), Health Informatics (47 citations), Human-Computer Interaction (32 citations), Artificial Intelligence (157 citations) and Computer Science Applications (25 citations). William Isaac has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Kristian Lum, Shakir Mohamed, Ekram Khan, Matt Grossmann, Iason Gabriel, John Mellor, Nahema Marchal, Cameron T. Whitley, Richard C. Hula and Maureen Cropper. Their work appears in journals such as Scientific Reports, The Journal of Politics, Philosophy & Technology, Proceedings of the National Academy of Sciences and Human Ecology.

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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