Daniel Greene

15 papers receiving 441 citations

Hit Papers

Better, Nicer, Clearer, Fairer: A Critical Assessment of the Movement for Ethical Artificial Intelligence and Machine Learning 2019 · 237 citations
237201920262021202350100150200

Peers

Daniel Greene
Comparison fields: 5 of 92
  • Health Informatics 43
  • Safety Research 185
  • Computer Science Applications 44
  • Human-Computer Interaction 39
  • Information Systems and Management 37
Replace Erik Hermann with:
Erik Hermann Germany
Jason Schultz United States
Luke Munn Australia
Peter Mantello Japan
Hyesun Choung United States
P. M. Krafft United States
Daniel Susser United States
Meredith Broussard United States
Stephen Cave United Kingdom
Tal Zarsky Israel
Daniel Greene relative to Erik Hermann Germany Erik Hermann's profile →
Citations per field
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Erik Hermann · 1×
Citations per year

Countries citing papers authored by Daniel Greene

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Greene

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Daniel Greene, 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 Daniel Greene Line = papers co-authored together Daniel Greene links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 20251
2 20233
3 20221
4 202214
5 202210
6 20215
7 202142
8 202024
9
Better, Nicer, Clearer, Fairer: A Critical Assessment of the Movement for Ethical Artificial Intelligence and Machine Learning
Hit paper breakdown →
2019237
10 201742
11 201747
12 201525
13 201513
14
Opening the pages, opening the doors
20121
15 20071
16 19661

About Daniel Greene

Daniel Greene is a scholar working on Computer Science Applications, Human-Computer Interaction, Urban Studies, Safety Research and Religious studies, having authored 16 papers that have together received 467 indexed citations. Recurring topics across this work include Digital Economy and Work Transformation (3 papers), Privacy, Security, and Data Protection (3 papers), Housing, Finance, and Neoliberalism (2 papers), Ethics and Social Impacts of AI (2 papers), Sexuality, Behavior, and Technology (2 papers), Innovative Human-Technology Interaction (2 papers), Online Learning and Analytics (1 paper) and Geographies of human-animal interactions (1 paper). The work is most often cited by research in Health Informatics (43 citations), Safety Research (185 citations), Computer Science Applications (44 citations), Human-Computer Interaction (39 citations) and Information Systems and Management (37 citations). Daniel Greene has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Luke Stark, Anna Lauren Hoffmann, Katie Shilton, Tamara Clegg, Erianne A. Weight, Niklas Elmqvist, Nathan Beard, Vera Khovanskaya, Sarah Fox and Karen Gregory. Their work appears in journals such as Social Studies of Science, Journal of Research in Science Teaching, tripleC Communication Capitalism & Critique Open Access Journal for a Global Sustainable Information Society, Journal of Business Ethics and New Media & Society.

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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