Ryan A. Rossi

8.8k total citations · 3 hit papers
163 papers, 4.5k citations indexed

About

Ryan A. Rossi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Ryan A. Rossi has authored 163 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Artificial Intelligence, 49 papers in Computer Vision and Pattern Recognition and 45 papers in Statistical and Nonlinear Physics. Recurrent topics in Ryan A. Rossi's work include Advanced Graph Neural Networks (45 papers), Complex Network Analysis Techniques (44 papers) and Topic Modeling (27 papers). Ryan A. Rossi is often cited by papers focused on Advanced Graph Neural Networks (45 papers), Complex Network Analysis Techniques (44 papers) and Topic Modeling (27 papers). Ryan A. Rossi collaborates with scholars based in United States, Italy and China. Ryan A. Rossi's co-authors include Nesreen K. Ahmed, John Boaz Lee, Sungchul Kim, Eunyee Koh, Jennifer Neville, Xiangnan Kong, Rong Zhou, Giang Nguyen, David F. Gleich and Assefaw H. Gebremedhin and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Molecular Biology and Evolution and Marine Ecology Progress Series.

In The Last Decade

Ryan A. Rossi

143 papers receiving 4.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Network Data Repository with Interactive Graph Analytics and Visualization

2015 1.3k citations Ryan A. Rossi, Nesreen K. Ahmed profile →
Continuous-Time Dynamic Network Embeddings

2018 304 citations Ryan A. Rossi, Nesreen K. Ahmed et al. profile →
Bias and Fairness in Large Language Models: A Survey

2024 141 citations Ryan A. Rossi, Sungchul Kim et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ryan A. Rossi United States	29	2.3k	1.8k	895	669	575	163	4.5k
Jordi Delgado Spain	12	2.3k 1.0×	436 0.2×	892 1.0×	455 0.7×	364 0.6×	21	4.5k
Andrea Lancichinetti Italy	13	1.9k 0.8×	5.5k 3.0×	571 0.6×	1.3k 2.0×	1.2k 2.0×	19	7.1k
Li Guo China	34	3.2k 1.4×	659 0.4×	653 0.7×	1.1k 1.7×	281 0.5×	333	6.2k
James Bailey Australia	38	3.9k 1.7×	563 0.3×	1.6k 1.8×	552 0.8×	794 1.4×	215	6.8k
Delbert Dueck Canada	6	1.9k 0.8×	497 0.3×	1.6k 1.7×	391 0.6×	834 1.5×	9	5.0k
David F. Gleich United States	26	1.3k 0.6×	1.8k 1.0×	490 0.5×	538 0.8×	462 0.8×	92	3.0k
Carey E. Priebe United States	34	1.4k 0.6×	746 0.4×	746 0.8×	335 0.5×	409 0.7×	217	3.7k
Ambuj K. Singh United States	34	1.3k 0.6×	533 0.3×	988 1.1×	1.3k 2.0×	814 1.4×	202	4.2k
David Jensen United States	31	2.5k 1.1×	835 0.5×	243 0.3×	1.9k 2.8×	230 0.4×	110	5.3k
Shenghuo Zhu United States	38	3.1k 1.3×	1.3k 0.7×	2.0k 2.2×	825 1.2×	327 0.6×	126	6.1k

Countries citing papers authored by Ryan A. Rossi

Since Specialization

Citations

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

Fields of papers citing papers by Ryan A. Rossi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan A. Rossi. 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 Ryan A. Rossi. The network helps show where Ryan A. Rossi may publish in the future.

Co-authorship network of co-authors of Ryan A. Rossi

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan A. Rossi. A scholar is included among the top collaborators of Ryan A. Rossi 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 Ryan A. Rossi. Ryan A. Rossi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Mathur, Puneet, Nedim Lipka, Franck Dernoncourt, et al.. (2025). Follow the Flow: Fine-grained Flowchart Attribution with Neurosymbolic Agents. 22496–22519.

2.

Rossi, Ryan A., et al.. (2025). Interactive Visualization Recommendation with Hier-SUCB. 313–321.

3.

Rossi, Ryan A., et al.. (2025). Brickify: Enabling Expressive Design Intent Specification through Direct Manipulation on Design Tokens. 1–20. 2 indexed citations

4.

Kim, Sungchul, et al.. (2024). Hallucination Diversity-Aware Active Learning for Text Summarization. 8665–8677.

5.

Wu, Junda, Tong Yu, Xiang Chen, et al.. (2024). DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention. 14073–14087. 1 indexed citations

6.

Zhang, Ruiyi, et al.. (2024). KaPQA: Knowledge-Augmented Product Question-Answering. 15–29. 1 indexed citations

7.

Chen, April, Ryan A. Rossi, Namyong Park, et al.. (2024). Fairness-Aware Graph Neural Networks: A Survey. ACM Transactions on Knowledge Discovery from Data. 18(6). 1–23. 6 indexed citations

8.

Yu, Tong, et al.. (2024). Which LLM to Play? Convergence-Aware Online Model Selection with Time-Increasing Bandits. 4059–4070. 3 indexed citations

9.

Rossi, Ryan A., et al.. (2024). Tackling Long-Tail Entities for Temporal Knowledge Graph Completion. 497–500. 1 indexed citations

10.

Wang, Yu, Nedim Lipka, Alexa Siu, et al.. (2024). Topology-aware Retrieval Augmentation for Text Generation. 2442–2452. 1 indexed citations

11.

Cheng, Kewei, Nesreen K. Ahmed, Ryan A. Rossi, Theodore L. Willke, & Yizhou Sun. (2024). Neural-Symbolic Methods for Knowledge Graph Reasoning: A Survey. ACM Transactions on Knowledge Discovery from Data. 18(9). 1–44. 7 indexed citations

12.

Wang, Yu, Kaize Ding, Xiaorui Liu, et al.. (2024). Data Quality-aware Graph Machine Learning. 5534–5537. 1 indexed citations

13.

Zhou, Ziqi, et al.. (2024). Exploring Interactive Color Palettes for Abstraction-Driven Exploratory Image Colorization. 1–16. 4 indexed citations

14.

Rossi, Ryan A., Sana Malik, Jane Hoffswell, et al.. (2023). SpotLight: Visual Insight Recommendation. 19–23. 1 indexed citations

15.

Zhou, Ziqi, et al.. (2023). De-Stijl: Facilitating Graphics Design with Interactive 2D Color Palette Recommendation. 1–19. 16 indexed citations

16.

Rossi, Ryan A., Fan Du, Sungchul Kim, et al.. (2022). Personalized Visualization Recommendation. ACM Transactions on the Web. 16(3). 1–47. 12 indexed citations

17.

Zhao, Yue, Ryan A. Rossi, & Leman Akoglu. (2021). Automatic Unsupervised Outlier Model Selection. Neural Information Processing Systems. 34. 22 indexed citations

18.

Wang, Hansen, Peifeng Wang, Sungchul Kim, et al.. (2021). Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation. arXiv (Cornell University). 6 indexed citations

19.

Eldardiry, Hoda, Jennifer Neville, & Ryan A. Rossi. (2020). Ensemble Learning for Relational Data. Journal of Machine Learning Research. 21(49). 1–37.

20.

Rossi, Ryan A. & Nesreen K. Ahmed. (2014). NetworkRepository: A Graph Data Repository with Visual Interactive Analytics.. arXiv (Cornell University). 5 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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