Tyler Derr

2.4k total citations
56 papers, 1.1k citations indexed

About

Tyler Derr is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Information Systems. According to data from OpenAlex, Tyler Derr has authored 56 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 16 papers in Statistical and Nonlinear Physics and 15 papers in Information Systems. Recurrent topics in Tyler Derr's work include Advanced Graph Neural Networks (27 papers), Complex Network Analysis Techniques (16 papers) and Recommender Systems and Techniques (15 papers). Tyler Derr is often cited by papers focused on Advanced Graph Neural Networks (27 papers), Complex Network Analysis Techniques (16 papers) and Recommender Systems and Techniques (15 papers). Tyler Derr collaborates with scholars based in United States, Hong Kong and China. Tyler Derr's co-authors include Jiliang Tang, Yao Ma, Yu Wang, Yiqi Wang, Wei Jin, Zitao Liu, Hamid Reza Karimi, Wenqi Fan, Ramit Sawhney and Qing Li and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Journal of Chemical Information and Modeling and Teachers College Record The Voice of Scholarship in Education.

In The Last Decade

Tyler Derr

53 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tyler Derr United States 18 820 291 263 176 104 56 1.1k
Ernesto William De Luca Germany 16 461 0.6× 327 1.1× 173 0.7× 123 0.7× 69 0.7× 80 949
Enrique Amigó Spain 16 840 1.0× 388 1.3× 125 0.5× 156 0.9× 104 1.0× 51 1.1k
Bo-June Hsu United States 13 715 0.9× 338 1.2× 140 0.5× 116 0.7× 112 1.1× 23 1.1k
David Pinto Mexico 18 857 1.0× 365 1.3× 42 0.2× 124 0.7× 85 0.8× 111 1.2k
Corinna Breitinger Germany 12 509 0.6× 526 1.8× 44 0.2× 123 0.7× 79 0.8× 26 884
Cunchao Tu China 15 1.2k 1.5× 247 0.8× 429 1.6× 92 0.5× 38 0.4× 22 1.5k
Clare R. Voss United States 18 1.2k 1.5× 311 1.1× 79 0.3× 145 0.8× 125 1.2× 76 1.4k
Lizi Liao Singapore 15 713 0.9× 190 0.7× 202 0.8× 323 1.8× 31 0.3× 72 1.0k
Tim Weninger United States 20 951 1.2× 645 2.2× 403 1.5× 266 1.5× 148 1.4× 69 1.6k
Andrea Tagarelli Italy 21 511 0.6× 334 1.1× 332 1.3× 139 0.8× 53 0.5× 109 1.1k

Countries citing papers authored by Tyler Derr

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Tyler Derr

This figure shows the co-authorship network connecting the top 25 collaborators of Tyler Derr. A scholar is included among the top collaborators of Tyler Derr based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tyler Derr. Tyler Derr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Wang, Yu, et al.. (2024). Fairness and Diversity in Recommender Systems: A Survey. ACM Transactions on Intelligent Systems and Technology. 16(1). 1–28. 16 indexed citations
3.
Zhang, Yi, et al.. (2024). Leveraging Opposite Gender Interaction Ratio as a Path towards Fairness in Online Dating Recommendations Based on User Sexual Orientation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(20). 22547–22555. 4 indexed citations
4.
Wang, Yu, Nedim Lipka, Alexa Siu, et al.. (2024). Topology-aware Retrieval Augmentation for Text Generation. 2442–2452. 1 indexed citations
5.
6.
Wang, Yu, Kaize Ding, Xiaorui Liu, et al.. (2024). Data Quality-aware Graph Machine Learning. 5534–5537. 1 indexed citations
7.
Wang, Yu, et al.. (2024). Knowledge Graph-based Session Recommendation with Session-Adaptive Propagation. 264–273. 2 indexed citations
8.
Li, Zhaoqing, et al.. (2024). A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications. IEEE Transactions on Knowledge and Data Engineering. 36(12). 7497–7515. 13 indexed citations
9.
Wang, Yu, Nedim Lipka, Ryan A. Rossi, et al.. (2024). Knowledge Graph Prompting for Multi-Document Question Answering. Proceedings of the AAAI Conference on Artificial Intelligence. 38(17). 19206–19214. 40 indexed citations
10.
Fan, Wenqi, Xiangyu Zhao, Qing Li, et al.. (2023). Adversarial Attacks for Black-Box Recommender Systems via Copying Transferable Cross-Domain User Profiles. IEEE Transactions on Knowledge and Data Engineering. 35(12). 12415–12429. 15 indexed citations
11.
Wang, Yu, et al.. (2023). Collaboration-Aware Graph Convolutional Network for Recommender Systems. 91–101. 35 indexed citations
12.
Wang, Yu, et al.. (2023). Fairness and Explainability: Bridging the Gap towards Fair Model Explanations. Proceedings of the AAAI Conference on Artificial Intelligence. 37(9). 11363–11371. 10 indexed citations
13.
Hu, Yunfei, et al.. (2023). ADEPT: Autoencoder with differentially expressed genes and imputation for robust spatial transcriptomics clustering. iScience. 26(6). 106792–106792. 10 indexed citations
14.
Wang, Yu, et al.. (2023). Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Activity Relationship Modeling in Drug Discovery. Proceedings of the AAAI Conference on Artificial Intelligence. 37(12). 14356–14364. 16 indexed citations
15.
Karimi, Hamid Reza & Tyler Derr. (2022). Decision Boundaries of Deep Neural Networks. 1085–1092. 2 indexed citations
16.
Zhang, Wenbin, Yi Yu, Kea Turner, et al.. (2021). Interpretable Visual Understanding with Cognitive Attention Network. Lecture notes in computer science. 12891. 555–568. 2 indexed citations
17.
Fan, Wenqi, Tyler Derr, Xiangyu Zhao, et al.. (2021). Attacking Black-box Recommendations via Copying Cross-domain User Profiles. 1583–1594. 54 indexed citations
18.
Karimi, Hamid Reza, Tyler Derr, Jiangtao Huang, & Jiliang Tang. (2020). Online Academic Course Performance Prediction Using Relational Graph Convolutional Neural Network.. Educational Data Mining. 24 indexed citations
19.
Derr, Tyler, Yao Ma, & Jiliang Tang. (2018). Signed Graph Convolutional Networks. 929–934. 171 indexed citations
20.
Derr, Tyler, Chenxing Wang, Suhang Wang, & Jiliang Tang. (2017). Signed Network Node Relevance Measurements. arXiv (Cornell University). 1 indexed citations

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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