Eric Sims

4.6k total citations · 3 hit papers
36 papers, 2.3k citations indexed

About

Eric Sims is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics and Finance. According to data from OpenAlex, Eric Sims has authored 36 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in General Economics, Econometrics and Finance, 25 papers in Economics and Econometrics and 6 papers in Finance. Recurrent topics in Eric Sims's work include Monetary Policy and Economic Impact (29 papers), Economic theories and models (12 papers) and Economic Theory and Policy (11 papers). Eric Sims is often cited by papers focused on Monetary Policy and Economic Impact (29 papers), Economic theories and models (12 papers) and Economic Theory and Policy (11 papers). Eric Sims collaborates with scholars based in United States, Germany and China. Eric Sims's co-authors include Rüdiger Bachmann, Robert Barsky, Steffen Elstner, Jing Cynthia Wu, Tim Oliver Berg, Michael J. Pries, André Kurmann, Ji Zhang, Ji Zhang and Ruediger Bachmann and has published in prestigious journals such as American Economic Review, The Review of Economics and Statistics and Journal of Monetary Economics.

In The Last Decade

Eric Sims

33 papers receiving 2.1k 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.

Uncertainty and Economic Activity: Evidence from Business Survey Data

2013 666 citations Rüdiger Bachmann, Steffen Elstner et al. American Economic Journal Macroeconomics profile →
Information, Animal Spirits, and the Meaning of Innovations in Consumer Confidence

2012 347 citations Robert Barsky, Eric Sims profile →
News shocks and business cycles

2011 310 citations Robert Barsky, Eric Sims Journal of Monetary Economics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eric Sims United States	15	1.9k	1.6k	704	183	108	36	2.3k
Haroon Mumtaz United Kingdom	31	2.4k 1.2×	2.3k 1.4×	1.1k 1.6×	152 0.8×	170 1.6×	97	2.9k
Paolo Surico United Kingdom	30	1.8k 0.9×	1.6k 1.0×	905 1.3×	348 1.9×	83 0.8×	81	2.4k
Keith Kuester United States	20	1.8k 0.9×	1.3k 0.8×	955 1.4×	148 0.8×	65 0.6×	42	2.2k
Michael T. Kiley United States	25	1.7k 0.9×	1.6k 1.0×	712 1.0×	137 0.7×	57 0.5×	120	2.2k
Massimiliano Pisani Italy	25	2.0k 1.0×	1.1k 0.7×	880 1.3×	198 1.1×	88 0.8×	82	2.3k
Jonas D. M. Fisher United States	22	2.9k 1.5×	2.5k 1.5×	1.2k 1.6×	358 2.0×	95 0.9×	66	3.4k
Andrea Nobili Italy	19	1.6k 0.9×	730 0.4×	775 1.1×	184 1.0×	133 1.2×	29	1.9k
Hervé Le Bihan France	24	1.8k 1.0×	1.8k 1.1×	696 1.0×	116 0.6×	46 0.4×	94	2.3k
Pablo Guerrón-Quintana United States	17	1.7k 0.9×	1.5k 0.9×	674 1.0×	93 0.5×	107 1.0×	60	2.0k
Hakan Berument Türkiye	23	1.8k 1.0×	1.2k 0.7×	1.1k 1.6×	210 1.1×	246 2.3×	155	2.3k

Countries citing papers authored by Eric Sims

Since Specialization

Citations

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

Fields of papers citing papers by Eric Sims

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Sims

This figure shows the co-authorship network connecting the top 25 collaborators of Eric Sims. A scholar is included among the top collaborators of Eric Sims 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 Eric Sims. Eric Sims 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.

Sims, Eric, et al.. (2023). Wall Street QE vs. Main Street Lending. European Economic Review. 156. 104475–104475. 5 indexed citations

2.

Sims, Eric, Jing Cynthia Wu, & Ji Zhang. (2022). Unconventional Monetary Policy According to Hank. SSRN Electronic Journal. 1 indexed citations

3.

Bachmann, Rüdiger, et al.. (2022). Identifying monetary policy shocks using the central bank’s information set. Journal of Economic Dynamics and Control. 145. 104555–104555. 3 indexed citations

4.

Sims, Eric, et al.. (2020). Are QE and Conventional Monetary Policy Substitutable. International journal of central banking. 16(1). 195–230. 3 indexed citations

5.

Sims, Eric, et al.. (2020). Bury the Gold Standard? A Quantitative Exploration. SSRN Electronic Journal. 1 indexed citations

6.

Sims, Eric & Jing Cynthia Wu. (2020). Wall Street vs. Main Street QE. SSRN Electronic Journal. 1 indexed citations

7.

Sims, Eric, Jing Cynthia Wu, & Ji Zhang. (2020). The Four Equation New Keynesian Model. SSRN Electronic Journal. 12 indexed citations

8.

Sims, Eric & Jing Cynthia Wu. (2020). Evaluating Central Banks’ tool kit: Past, present, and future. Journal of Monetary Economics. 118. 135–160. 78 indexed citations

9.

Sims, Eric, et al.. (2019). Without looking closer, it may seem cheap: Low interest rates and government borrowing. Economics Letters. 180. 28–32. 6 indexed citations

10.

Sims, Eric & Jing Cynthia Wu. (2019). The Four Equation New Keynesian Model. SSRN Electronic Journal. 4 indexed citations

11.

Sims, Eric, et al.. (2018). Raise Rates to Raise Inflation? Neo‐Fisherianism in the New Keynesian Model. Journal of money credit and banking. 50(1). 243–259. 24 indexed citations

12.

Pries, Michael J., et al.. (2018). The Relative Importance of Aggregate and Sectoral Shocks and the Changing Nature of Economic Fluctuations. American Economic Journal Macroeconomics. 10(1). 119–148. 25 indexed citations

13.

Sims, Eric, et al.. (2017). State-dependent fiscal multipliers: Calvo vs. Rotemberg. Economics Letters. 159. 190–194. 10 indexed citations

14.

Sims, Eric. (2016). What׳s news in News? A cautionary note on using a variance decomposition to assess the quantitative importance of news shocks. Journal of Economic Dynamics and Control. 73. 41–60. 13 indexed citations

15.

Sims, Eric, et al.. (2016). On the desirability of nominal GDP targeting. Journal of Economic Dynamics and Control. 69. 21–44. 38 indexed citations

16.

Bachmann, Rüdiger, Tim Oliver Berg, & Eric Sims. (2015). Inflation Expectations and Readiness to Spend: Cross-Sectional Evidence. American Economic Journal Economic Policy. 7(1). 1–35. 197 indexed citations

17.

Bachmann, Rüdiger, Steffen Elstner, & Eric Sims. (2013). Uncertainty and Economic Activity: Evidence from Business Survey Data. American Economic Journal Macroeconomics. 5(2). 217–249. 666 indexed citations breakdown →

18.

Pries, Michael J., et al.. (2013). Volatility and welfare. Journal of Economic Dynamics and Control. 38. 17–36. 33 indexed citations

19.

Barsky, Robert & Eric Sims. (2011). News shocks and business cycles. Journal of Monetary Economics. 58(3). 273–289. 310 indexed citations breakdown →

20.

Sims, Eric. (2008). Identi…cation and Estimation of Interest Rate Rules in the New Keynesian Model. 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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