Tyler Derr
Impact in
- Artificial Intelligence top 2%
- Advanced Graph Neural Networks
- Topic Modeling
- Adversarial Robustness in Machine Learning
- Privacy-Preserving Technologies in Data
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- Complex Network Analysis Techniques
Papers in
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- Advanced Graph Neural Networks 27
- Adversarial Robustness in Machine Learning 4
- Domain Adaptation and Few-Shot Learning 4
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- Complex Network Analysis Techniques 16
- Opinion Dynamics and Social Influence 4
- Co-authors
- Jiliang Tang (22 shared papers)Yao Ma (10 shared papers)Yu Wang (17 shared papers)Zitao Liu (2 shared papers)Wei Jin (2 shared papers)Yiqi Wang (1 shared paper)Wenqi Fan (4 shared papers)Hamid Reza Karimi (10 shared papers)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (2 papers)iScience (1 paper)ACM Transactions on Intelligent Systems and Technology (1 paper)Social Network Analysis and Mining (1 paper)Teachers College Record The Voice of Scholarship in Education (1 paper)
- Partner nations
- United StatesHong KongGermany
In The Last Decade
Tyler Derr
53 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 88
- Artificial Intelligence 820
- Statistical and Nonlinear Physics 263
- Information Systems 291
- Computer Vision and Pattern Recognition 176
- Management Science and Operations Research 104
Countries citing papers authored by Tyler Derr
This map shows the geographic impact of Tyler Derr'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 Tyler Derr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tyler Derr more than expected).
Fields of papers citing papers by Tyler Derr
This network shows the impact of papers produced by Tyler Derr. 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 Tyler Derr. The network helps show where Tyler Derr may publish in the future.
Co-authors
The 25 scholars most cited alongside Tyler Derr, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 171 | |
| 2 | 2021 | 142 | |
| 3 | 2021 | 84 | |
| 4 | 2021 | 54 | |
| 5 | 2019 | 48 | |
| 6 | 2022 | 47 | |
| 7 | 2021 | 41 | |
| 8 | 2024 | 40 | |
| 9 | 2021 | 38 | |
| 10 | 2023 | 35 | |
| 11 | 2022 | 33 | |
| 12 | 2019 | 28 | |
| 13 | 2020 | 25 | |
| 14 | Online Academic Course Performance Prediction Using Relational Graph Convolutional Neural Network. | 2020 | 24 |
| 15 | 2020 | 24 | |
| 16 | 2019 | 20 | |
| 17 | 2020 | 19 | |
| 18 | 2022 | 19 | |
| 19 | 2024 | 16 | |
| 20 | 2023 | 16 |
About Tyler Derr
Tyler Derr is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Information Systems, Computer Vision and Pattern Recognition and Molecular Biology, having authored 56 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (27 papers), Complex Network Analysis Techniques (16 papers), Recommender Systems and Techniques (15 papers), Ethics and Social Impacts of AI (5 papers), Social Media and Politics (4 papers), Adversarial Robustness in Machine Learning (4 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Opinion Dynamics and Social Influence (4 papers). The work is most often cited by research in Artificial Intelligence (820 citations), Statistical and Nonlinear Physics (263 citations), Information Systems (291 citations), Computer Vision and Pattern Recognition (176 citations) and Management Science and Operations Research (104 citations). Tyler Derr has collaborated with scholars based in United States, Hong Kong and Germany. Frequent co-authors include Jiliang Tang, Yao Ma, Yu Wang, Zitao Liu, Wei Jin, Yiqi Wang, Wenqi Fan, Hamid Reza Karimi, Ramit Sawhney and Qing Li. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, iScience, ACM Transactions on Intelligent Systems and Technology, Social Network Analysis and Mining and Teachers College Record The Voice of Scholarship in Education.
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.