Daniel Schiff
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education 5
- Safety Research top 1%
- Ethics and Social Impacts of AI 17
-
- Online Learning and Analytics 3
- Artificial Intelligence top 5%
-
- Ethics in Business and Education 4
-
- Misinformation and Its Impacts 4
-
- Social Media and Politics 3
-
- Psychology of Moral and Emotional Judgment 3
-
- Public Policy and Administration Research 3
- Co-authors
- Jason BorensteinKelly LaasJustin B. BiddleMatthew O’ShaughnessyLav R. VarshneyMark A. DavenportChristopher J. RozellClaudia Nerdel
- Journals
- Computers and Education Artificial Intelligence (2 papers)Policy and Society (1 paper)American Political Science Review (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Daniel Schiff
43 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Health Informatics 213
- Safety Research 363
- Computer Science Applications 167
- Artificial Intelligence 247
- Information Systems and Management 46
Countries citing papers authored by Daniel Schiff
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 6 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 5 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 1 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 32 | |
| 10 | 2024 | 4 | |
| 11 | 2024 | 3 | |
| 12 | 2024 | 9 | |
| 13 | 2023 | 29 | |
| 14 | 2023 | 7 | |
| 15 | 2021 | 158 | |
| 16 | 2020 | 85 | |
| 17 | 2020 | 148 | |
| 18 | 2017 | 1 | |
| 19 | Teacher Networks in Philadelphia: Landscape, Engagement, and Value. | 2015 | 10 |
| 20 | Teacher Networks Companion Piece. | 2015 | 1 |
About Daniel Schiff
Daniel Schiff is a scholar working on Health Informatics, Safety Research, Public Administration, Anatomy and Information Systems and Management, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (17 papers), Artificial Intelligence in Healthcare and Education (5 papers), Ethics in Business and Education (4 papers), Misinformation and Its Impacts (4 papers), Social Media and Politics (3 papers), Online Learning and Analytics (3 papers), Psychology of Moral and Emotional Judgment (3 papers) and Public Policy and Administration Research (3 papers). The work is most often cited by research in Health Informatics (213 citations), Safety Research (363 citations), Computer Science Applications (167 citations), Artificial Intelligence (247 citations) and Information Systems and Management (46 citations). Daniel Schiff has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Jason Borenstein, Kelly Laas, Justin B. Biddle, Matthew O’Shaughnessy, Lav R. Varshney, Mark A. Davenport, Christopher J. Rozell, Claudia Nerdel, Arne Bewersdorff and Bogdana Rakova. Their work appears in journals such as Computers and Education Artificial Intelligence, Policy and Society, American Political Science Review, Studies in Higher Education and Criminology & Public Policy.
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.