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.
Coordination of groups of mobile autonomous agents using nearest neighbor rules
This map shows the geographic impact of Ali Jadbabaie'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 Ali Jadbabaie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Jadbabaie more than expected).
This network shows the impact of papers produced by Ali Jadbabaie. 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 Ali Jadbabaie. The network helps show where Ali Jadbabaie may publish in the future.
Co-authorship network of co-authors of Ali Jadbabaie
This figure shows the co-authorship network connecting the top 25 collaborators of Ali Jadbabaie.
A scholar is included among the top collaborators of Ali Jadbabaie 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 Ali Jadbabaie. Ali Jadbabaie is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Yun, Chulhee, Suvrit Sra, & Ali Jadbabaie. (2021). Open Problem: Can Single-Shuffle SGD be Better than Reshuffling SGD and GD?. Conference on Learning Theory. 4653–4658.1 indexed citations
8.
Jadbabaie, Ali, et al.. (2020). Estimation of Skill Distribution from a Tournament. Neural Information Processing Systems. 33. 8418–8429.3 indexed citations
9.
Reisizadeh, Amirhossein, Farzan Farnia, Ramtin Pedarsani, & Ali Jadbabaie. (2020). Robust Federated Learning: The Case of Affine Distribution Shifts. eScholarship (California Digital Library). 33. 21554–21565.2 indexed citations
10.
Yun, Chulhee, Suvrit Sra, & Ali Jadbabaie. (2019). Small ReLU networks are powerful memorizers: a tight analysis of memorization capacity. DSpace@MIT (Massachusetts Institute of Technology). 32. 15532–15543.9 indexed citations
11.
Zhang, Jingzhao, Tianxing He, Suvrit Sra, & Ali Jadbabaie. (2019). Analysis of Gradient Clipping and Adaptive Scaling with a Relaxed Smoothness Condition.. arXiv (Cornell University).3 indexed citations
12.
Reisizadeh, Amirhossein, Aryan Mokhtari, Hamed Hassani, Ali Jadbabaie, & Ramtin Pedarsani. (2019). FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization.. International Conference on Artificial Intelligence and Statistics. 2021–2031.48 indexed citations
13.
Zhang, Jingzhao, Aryan Mokhtari, Suvrit Sra, & Ali Jadbabaie. (2018). Direct runge-kutta discretization achieves acceleration. DSpace@MIT (Massachusetts Institute of Technology). 31. 3904–3913.4 indexed citations
14.
Jadbabaie, Ali, et al.. (2018). Reasoning in Bayesian Opinion Exchange Networks Is PSPACE-Hard. D-Scholarship@Pitt (University of Pittsburgh). 1614–1648.1 indexed citations
15.
Yun, Chulhee, Suvrit Sra, & Ali Jadbabaie. (2018). A Critical View of Global Optimality in Deep Learning. arXiv (Cornell University).10 indexed citations
Preciado, Víctor M., Michael Zargham, Chinwendu Enyioha, Ali Jadbabaie, & George J. Pappas. (2013). Optimal Resource Allocation for Network Protection: A Geometric Programming Approach.. arXiv (Cornell University).23 indexed citations
18.
Preciado, Víctor M., Ali Jadbabaie, & George C. Verghese. (2011). Structural Analysis of Laplacian Spectral Properties with Application to Electric Transmission Networks. arXiv (Cornell University).1 indexed citations
Kim, Jung‐Su, et al.. (2003). A Globally Stabilizing Model Predictive Controller for Neutrally Stable Linear Systems with Input Constraints. 제어로봇시스템학회 국제학술대회 논문집. 1901–1904.
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.