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Johan Ugander

Stanford University (from arXiv:2306.01801, 2023) · ORCID · OpenAlex

17 papers in scope · 14 published · 1 on the econ.EM arXiv · 327 citations · h-index 7 (over the papers listed here)

Related authors

The 20 authors closest to this one in our weighted citation graph, most related first.

  1. Austin R. Benson
  2. Kiran Tomlinson
  3. Francisco J. R. Ruiz
  4. David M. Blei
  5. Yusufcan Masatlıoĝlu
  6. Michael P. Leung
  7. Susan Athey
  8. Xinwei Ma
  9. Daniel Brunner
  10. Anna B. Schmidt
  11. Florian Heiß
  12. Matias D. Cattaneo
  13. Tianyu Du
  14. Ayush Kanodia
  15. Keyon Vafa
  16. Jason Hawkins
  17. Omid Armantalab
  18. Levon Barseghyan
  19. Francesca Molinari
  20. David Liben-Nowell

Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md.

Papers

(4 of 17)

On Sinkhorn’s Algorithm and Choice Modeling
published2025 · Operations Research · 1 citations · first circulated 2023
with Zhaonan Qu, Alfred Galichon, Wenzhi Gao
Paper profile Operations Research arXiv:2310.00260
Replicating Electoral Success
published2025 · Proceedings of the AAAI Conference on Artificial Intelligence · first circulated 2024
with Kiran Tomlinson, Tanvi Namjoshi, Jon Kleinberg
Proceedings of the AAAI Conference on Artificial Intelligence
Doubly robust and heteroscedasticity-aware sample trimming for causal inference
published2024 · Biometrika · 1 citations · first circulated 2022
with Samir Khan
Biometrika
The latent cognitive structures of social networks
published2024 · Network Science · 2 citations · first circulated 2023
with Izabel Aguiar
Network Science
The Moderating Effect of Instant Runoff Voting
published2024 · Proceedings of the AAAI Conference on Artificial Intelligence · 2 citations · first circulated 2023
with Kiran Tomlinson, Jon Kleinberg
Proceedings of the AAAI Conference on Artificial Intelligence
Rank-heterogeneous Preference Models for School Choice
working paper2023 · 2 citations
with Amel Awadelkarim, Arjun Seshadri, Itai Ashlagi, Irene Lo
Paper profile publisher arXiv:2306.01801
Estimating Geographic Spillover Effects of COVID-19 Policies from Large-Scale Mobility Networks
published2023 · Proceedings of the AAAI Conference on Artificial Intelligence · 14 citations · first circulated 2022
with Serina Chang, Damir Vrabac, Jure Leskovec
Proceedings of the AAAI Conference on Artificial Intelligence
Ballot Length in Instant Runoff Voting
published2023 · Proceedings of the AAAI Conference on Artificial Intelligence · 9 citations · first circulated 2022
with Kiran Tomlinson, Jon Kleinberg
Proceedings of the AAAI Conference on Artificial Intelligence
Randomized graph cluster randomization
published2023 · Journal of Causal Inference · 19 citations · first circulated 2020
with Hao Yin
Journal of Causal Inference
Adaptive normalization for IPW estimation
published2023 · Journal of Causal Inference · 8 citations · first circulated 2021
with Samir Khan
Journal of Causal Inference
Model-based regression adjustment with model-free covariates for network interference
published2023 · Journal of Causal Inference
with Kevin Han
Journal of Causal Inference
Choice Set Confounding in Discrete Choice
working paper2021 · 3 citations
with Kiran Tomlinson, Austin R. Benson
Paper profile publisher arXiv:2105.07959
Experience-Driven Peer Effects: Evidence from a Large Natural Experiment
published2021 · Proceedings of the International AAAI Conference on Web and Social Media
with William Cai
Proceedings of the International AAAI Conference on Web and Social Media
Fundamental Limits of Testing the Independence of Irrelevant Alternatives in Discrete Choice
working paper2020 · arXiv · 7 citations · first circulated 2019
with Arjun Seshadri
Paper profile arXiv arXiv:2001.07042
Design and Analysis of Experiments in Networks: Reducing Bias from Interference
published2016 · Journal of Causal Inference · 216 citations · first circulated 2014
with Dean Eckles, Brian Karrer
Journal of Causal Inference
Pairwise Choice Markov Chains
published2016 · Neural Information Processing Systems · 27 citations
with Stephen Ragain
Neural Information Processing Systems
A concave regularization technique for sparse mixture models
published2011 · Neural Information Processing Systems · 16 citations
with Martin O. Larsson
no link

Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.