Daniel Schiff

49 papers receiving 1.3k citations

Daniel Schiff's Hit Papers

The impact of automation and artificial intelligence on worker well-being 2021 · 177 citations
1770+2+4Years since publication50100150

Peers

Daniel Schiff
Comparison fields: 5 of 127
  • Health Informatics 261
  • Safety Research 442
  • Computer Science Applications 221
  • Artificial Intelligence 327
  • Information Systems and Management 57
Replace Shen Qiao with:
Shen Qiao Hong Kong
Haiyi Zhu United States
Christine T. Wolf United States
Patrick Allo Belgium
Emre Kazim United Kingdom
Patrice Chazerand Switzerland
Abeba Birhane Ireland
Robert Madelin Belgium
Hila Lifshitz‐Assaf United States
Daniel Schiff relative to Shen Qiao Hong Kong Shen Qiao's profile →
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Countries citing papers authored by Daniel Schiff

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Schiff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021225
2
Out of the laboratory and into the classroom: the future of artificial intelligence in education
Hit paper breakdown →
2020199
3
The impact of automation and artificial intelligence on worker well-being
Hit paper breakdown →
2021177
4 2020112
5 202188
6 202175
7 202266
8 201964
9 202151
10 202443
11 202331
12 202326
13 202025
14 202417
15 199616
16 202412
17 202511
18 202511
19
Teacher Networks in Philadelphia: Landscape, Engagement, and Value.
201510
20 202410

About Daniel Schiff

Daniel Schiff is a scholar working on Safety Research, Sociology and Political Science, Political Science and International Relations, Artificial Intelligence and Education, having authored 52 papers that have together received 1.4k indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (18 papers), Artificial Intelligence in Healthcare and Education (5 papers), Psychology of Moral and Emotional Judgment (4 papers), Misinformation and Its Impacts (4 papers), Ethics in Business and Education (4 papers), Service-Learning and Community Engagement (4 papers), Online Learning and Analytics (4 papers) and Regulation and Compliance Studies (3 papers). The work is most often cited by research in Health Informatics (261 citations), Safety Research (442 citations), Computer Science Applications (221 citations), Artificial Intelligence (327 citations) and Information Systems and Management (57 citations). Daniel Schiff has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Jason Borenstein, Kelly Laas, Justin B. Biddle, Kaylyn Jackson Schiff, Arne Bewersdorff, Claudia Nerdel, Marie Hornberger, Christopher J. Rozell, Lav R. Varshney and Matthew O’Shaughnessy. Their work appears in journals such as Computers and Education Artificial Intelligence, AI & Society, Technology in Society, Criminology & Public Policy and The Hastings Center Report.

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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