James Schaffer
- Health Informatics top 5%
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- Decision-Making and Behavioral Economics 2
- Safety Research top 5%
- Experimental Behavioral Economics Studies 2
- Artificial Intelligence top 5%
- Information Systems top 5%
- Recommender Systems and Techniques 4
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- Complex Network Analysis Techniques 4
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- Data Visualization and Analytics 3
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- Team Dynamics and Performance 2
- Human-Automation Interaction and Safety 2
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- Misinformation and Its Impacts 2
- Co-authors
- John O’DonovanTobias HöllererLise GetoorPigi KoukiJay PujaraJames MichaelisLaura R. MarusichCleotilde González
- Journals
- ACM Transactions on Interactive Intelligent Systems (1 paper)International Journal of Human-Computer Studies (1 paper)Network Science (1 paper)
- Partner nations
- United States
In The Last Decade
James Schaffer
16 papers receiving 387 citations
Peers
Comparison fields: 5 of 62
- Health Informatics 35
- General Decision Sciences 17
- Safety Research 75
- Artificial Intelligence 231
- Information Systems 136
Countries citing papers authored by James Schaffer
This map shows the geographic impact of James Schaffer'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 James Schaffer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Schaffer more than expected).
Fields of papers citing papers by James Schaffer
This network shows the impact of papers produced by James Schaffer. 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 James Schaffer. The network helps show where James Schaffer may publish in the future.
Co-authorship network
The 21 scholars most cited alongside James Schaffer, 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 | 2020 | 29 | |
| 2 | 2019 | 14 | |
| 3 | 2019 | 78 | |
| 4 | 2019 | 6 | |
| 5 | 2019 | 12 | |
| 6 | 2019 | 96 | |
| 7 | 2018 | 8 | |
| 8 | 2018 | 2 | |
| 9 | 2017 | 51 | |
| 10 | 2016 | 6 | |
| 11 | 2016 | 43 | |
| 12 | Hypothetical Recommendation: A Study of Interactive Profile Manipulation Behavior for Recommender Systems | 2015 | 16 |
| 13 | 2015 | 27 | |
| 14 | 2014 | 4 | |
| 15 | 2014 | 11 | |
| 16 | 2013 | 3 |
About James Schaffer
James Schaffer is a scholar working on General Decision Sciences, Computer Science Applications and Statistical and Nonlinear Physics, having authored 16 papers that have together received 406 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (4 papers), Recommender Systems and Techniques (4 papers), Data Visualization and Analytics (3 papers), Team Dynamics and Performance (2 papers), Misinformation and Its Impacts (2 papers), Experimental Behavioral Economics Studies (2 papers), Decision-Making and Behavioral Economics (2 papers) and Human-Automation Interaction and Safety (2 papers). The work is most often cited by research in Health Informatics (35 citations), General Decision Sciences (17 citations) and Safety Research (75 citations). James Schaffer has collaborated with scholars based in United States. Frequent co-authors include John O’Donovan, Tobias Höllerer, Lise Getoor, Pigi Kouki, Jay Pujara, James Michaelis, Laura R. Marusich, Cleotilde González, Michael Yu and Jonathan Z. Bakdash. Their work appears in journals such as ACM Transactions on Interactive Intelligent Systems, International Journal of Human-Computer Studies, Network Science, Human Factors The Journal of the Human Factors and Ergonomics Society and The Florida AI Research 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.