Noah Williams

2.8k total citations · 1 hit paper
35 papers, 1.2k citations indexed

About

Noah Williams is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics and Finance. According to data from OpenAlex, Noah Williams has authored 35 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in General Economics, Econometrics and Finance, 20 papers in Economics and Econometrics and 5 papers in Finance. Recurrent topics in Noah Williams's work include Monetary Policy and Economic Impact (20 papers), Economic theories and models (14 papers) and Economic Theory and Policy (7 papers). Noah Williams is often cited by papers focused on Monetary Policy and Economic Impact (20 papers), Economic theories and models (14 papers) and Economic Theory and Policy (7 papers). Noah Williams collaborates with scholars based in United States, United Kingdom and Finland. Noah Williams's co-authors include Thomas J. Sargent, Lars Peter Hansen, Tao Zha, Alexei Onatski, Lars E.O. Svensson, John C. Williams, Andrew Levin, Marco Cagetti, Seppo Honkapohja and George W. Evans and has published in prestigious journals such as Journal of Clinical Investigation, American Economic Review and The Journal of Physiology.

In The Last Decade

Noah Williams

30 papers receiving 1.1k citations

Hit Papers

Robust control and model misspecification 2006 2026 2012 2019 2006 50 100 150 200 250
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.

  1. Robust control and model misspecification
    2006 254 citations Lars Peter Hansen, Thomas J. Sargent et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Noah Williams United States 15 855 685 445 149 64 35 1.2k
Manuel S. Santos United States 17 1.4k 1.6× 653 1.0× 349 0.8× 81 0.5× 40 0.6× 49 1.6k
Geoff Kenny Germany 16 673 0.8× 543 0.8× 267 0.6× 197 1.3× 29 0.5× 54 985
Serguei Maliar Spain 14 568 0.7× 421 0.6× 168 0.4× 70 0.5× 21 0.3× 53 754
Ivana Komunjer United States 13 624 0.7× 567 0.8× 368 0.8× 172 1.2× 18 0.3× 31 931
Ramaprasad Bhar Australia 20 929 1.1× 501 0.7× 644 1.4× 121 0.8× 11 0.2× 79 1.2k
Felix Kübler Switzerland 19 910 1.1× 410 0.6× 432 1.0× 72 0.5× 62 1.0× 89 1.1k
Lilia Maliar Spain 14 540 0.6× 389 0.6× 159 0.4× 65 0.4× 20 0.3× 56 714
Richard O. Michaud United States 10 547 0.6× 267 0.4× 1.1k 2.4× 674 4.5× 26 0.4× 28 1.4k
Fabio Trojani Switzerland 22 973 1.1× 421 0.6× 1.6k 3.6× 277 1.9× 46 0.7× 109 1.9k
Robert R. Grauer Canada 19 728 0.9× 360 0.5× 1.4k 3.2× 702 4.7× 52 0.8× 40 1.7k

Countries citing papers authored by Noah Williams

Since Specialization
Citations

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

Fields of papers citing papers by Noah Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Noah Williams. 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 Noah Williams. The network helps show where Noah Williams may publish in the future.

Co-authorship network of co-authors of Noah Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Noah Williams. A scholar is included among the top collaborators of Noah Williams 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 Noah Williams. Noah Williams 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.
Amorim, Mateus R., Noah Williams, Melanie Alexis Ruiz, et al.. (2025). Targeting melanocortin 4 receptor to treat sleep-disordered breathing in mice. Journal of Clinical Investigation. 135(12). 1 indexed citations
2.
Shin, Mi‐Kyung, et al.. (2025). Diet‐induced obesity in mice increases carotid body chemosensitivity via the leptin‐TRPM7 pathway. The Journal of Physiology. 603(17). 4887–4905.
3.
Dethier, David P., Noah Williams, & Jordan Fields. (2022). Snowmelt-Driven Seasonal Infiltration and Flow in the Upper Critical Zone, Niwot Ridge (Colorado), USA. Water. 14(15). 2317–2317. 4 indexed citations
4.
O’Rourke, Sean & Noah Williams. (2022). Partial linear eigenvalue statistics for non-Hermitian random matrices. Теория вероятностей и ее применения. 67(4). 768–791. 1 indexed citations
5.
O’Rourke, Sean & Noah Williams. (2020). On the local pairing behavior of critical points and roots of random polynomials. Electronic Journal of Probability. 25(none). 4 indexed citations
6.
Williams, Noah. (2018). Escape Dynamics in Learning Models. The Review of Economic Studies. 86(2). 882–912. 9 indexed citations
7.
Williams, Noah, et al.. (2015). Optimal Unemployment Insurance and Cyclical Fluctuations. SSRN Electronic Journal.
8.
Williams, Noah, et al.. (2014). Distribution of genome rearrangement distance under double cut and join. Involve a Journal of Mathematics. 7(4). 491–507.
9.
Sargent, Thomas J., George W. Evans, Seppo Honkapohja, & Noah Williams. (2012). Bayesian Model Averaging, Learning, and Model Selection. SSRN Electronic Journal. 3 indexed citations
10.
Onatski, Alexei & Noah Williams. (2009). Empirical and policy performance of a forward‐looking monetary model. Journal of Applied Econometrics. 25(1). 145–176. 13 indexed citations
11.
Svensson, Lars E.O. & Noah Williams. (2008). Optimal Monetary Policy Under Uncertainty: A Markov Jump-Linear-Quadratic Approach. 90(4). 41 indexed citations
12.
Sargent, Thomas J., Noah Williams, & Tao Zha. (2006). Shocks and Government Beliefs: The Rise and Fall of American Inflation. American Economic Review. 96(4). 1193–1224. 154 indexed citations
13.
Levin, Andrew, et al.. (2005). Monetary Policy under Uncertainty in Micro-Founded Macroeconometric Models. Federal Reserve Bank of San Francisco, Working Paper Series. 1.000–67.000. 2 indexed citations
14.
Sargent, Thomas J. & Noah Williams. (2005). Impacts of priors on convergence and escapes from Nash inflation. Review of Economic Dynamics. 8(2). 360–391. 71 indexed citations
15.
Levin, Andrew, Alexei Onatski, John C. Williams, & Noah Williams. (2005). Monetary Policy Under Uncertainty in Micro-Founded Macroeconometric Models. SSRN Electronic Journal. 67 indexed citations
16.
Sargent, Thomas J., Noah Williams, & Tao Zha. (2004). Shocks and Government Beliefs: The Rise and Fall of American Inflation. SSRN Electronic Journal. 31 indexed citations
17.
Williams, Noah. (2003). Adaptive Learning and Business Cycles. 34 indexed citations
18.
Williams, Noah. (2003). Small Noise Asymptotics for a Stochastic Growth Model. SSRN Electronic Journal.
19.
Cagetti, Marco, Lars Peter Hansen, Thomas J. Sargent, & Noah Williams. (2002). Robustness and Pricing with Uncertain Growth. Review of Financial Studies. 15(2). 363–404. 125 indexed citations
20.
Onatski, Alexei & Noah Williams. (2002). Modeling Model Uncertainty. SSRN Electronic Journal. 12 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Manuel S. Santos Breakdown of academic impact, for papers by Geoff Kenny Breakdown of academic impact, for papers by Serguei Maliar Breakdown of academic impact, for papers by Ivana Komunjer Breakdown of academic impact, for papers by Ramaprasad Bhar Breakdown of academic impact, for papers by Felix Kübler Breakdown of academic impact, for papers by Lilia Maliar Breakdown of academic impact, for papers by Richard O. Michaud Breakdown of academic impact, for papers by Fabio Trojani Breakdown of academic impact, for papers by Robert R. Grauer
Rankless by CCL
2026