James Mitchell

2.8k total citations · 1 hit paper
67 papers, 1.5k citations indexed

About

James Mitchell is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance and Management Science and Operations Research. According to data from OpenAlex, James Mitchell has authored 67 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Economics and Econometrics, 48 papers in General Economics, Econometrics and Finance and 18 papers in Management Science and Operations Research. Recurrent topics in James Mitchell's work include Monetary Policy and Economic Impact (47 papers), Market Dynamics and Volatility (18 papers) and Forecasting Techniques and Applications (12 papers). James Mitchell is often cited by papers focused on Monetary Policy and Economic Impact (47 papers), Market Dynamics and Volatility (18 papers) and Forecasting Techniques and Applications (12 papers). James Mitchell collaborates with scholars based in United Kingdom, United States and Australia. James Mitchell's co-authors include Stephen G. Hall, Martin Weale, Shaun P. Vahey, Kenneth F. Wallis, Anne Sofie Jore, Ana Beatriz Galvão, Lisa Zaval, David Spiegelhalter, Alexandra L. J. Freeman and Sander van der Linden and has published in prestigious journals such as The Economic Journal, Journal of Econometrics and Journal of Medical Internet Research.

In The Last Decade

James Mitchell

62 papers receiving 1.4k citations

Hit Papers

Communicating uncertainty about facts, numbers and science 2019 2026 2021 2023 2019 50 100 150 200
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. Communicating uncertainty about facts, numbers and science
    2019 249 citations Anne Marthe van der Bles, Sander van der Linden et al. Royal Society Open Science profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James Mitchell United Kingdom 19 848 794 405 403 134 67 1.5k
Ana Beatriz Galvão United Kingdom 16 824 1.0× 705 0.9× 360 0.9× 217 0.5× 127 0.9× 49 1.3k
Aris Spanos United States 24 974 1.1× 698 0.9× 283 0.7× 193 0.5× 104 0.8× 70 1.9k
Jennifer L. Castle United Kingdom 20 669 0.8× 515 0.6× 182 0.4× 225 0.6× 45 0.3× 60 1.1k
Esfandiar Maasoumi United States 23 1.1k 1.3× 339 0.4× 392 1.0× 297 0.7× 606 4.5× 91 2.0k
Grayham E. Mizon United Kingdom 23 1.9k 2.2× 1.5k 1.9× 568 1.4× 260 0.6× 137 1.0× 58 2.7k
Denise R. Osborn United Kingdom 31 2.0k 2.4× 1.6k 2.0× 1.0k 2.6× 287 0.7× 399 3.0× 100 3.1k
Farshid Vahid Australia 20 858 1.0× 670 0.8× 451 1.1× 179 0.4× 100 0.7× 48 1.4k
Rustam Ibragimov United States 21 1.1k 1.3× 315 0.4× 836 2.1× 302 0.7× 143 1.1× 71 1.9k
Alastair R. Hall United States 20 1.3k 1.5× 1.2k 1.5× 729 1.8× 105 0.3× 86 0.6× 65 2.1k
Heejoon Kang United States 18 736 0.9× 734 0.9× 236 0.6× 179 0.4× 129 1.0× 39 1.3k

Countries citing papers authored by James Mitchell

Since Specialization
Citations

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

Fields of papers citing papers by James Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Mitchell

This figure shows the co-authorship network connecting the top 25 collaborators of James Mitchell. A scholar is included among the top collaborators of James Mitchell 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 James Mitchell. James Mitchell 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.
Trinkley, Katy E., Larry A. Allen, Russell E. Glasgow, et al.. (2025). Application of Nudges to Design Clinical Decision Support Tools: Systematic Approach Guided by Implementation Science. Journal of Medical Internet Research. 27. e73189–e73189.
2.
Mitchell, James, et al.. (2024). Regional Economic Sentiment: Constructing Quantitative Estimates from the Beige Book and Testing Their Ability to Forecast Recessions. Economic Commentary (Federal Reserve Bank of Cleveland). 1 indexed citations
3.
Mitchell, James, Aubrey Poon, & Dan Zhu. (2024). Constructing density forecasts from quantile regressions: Multimodality in macrofinancial dynamics. Journal of Applied Econometrics. 39(5). 790–812. 1 indexed citations
4.
Galvão, Ana Beatriz & James Mitchell. (2023). Real‐Time Perceptions of Historical GDP Data Uncertainty*. Oxford Bulletin of Economics and Statistics. 85(3). 457–481. 2 indexed citations
5.
Mitchell, James & Saeed Zaman. (2023). The Distributional Predictive Content of Measures of Inflation Expectations. SSRN Electronic Journal. 1 indexed citations
6.
Galvão, Ana Beatriz & James Mitchell. (2023). Communicating Data Uncertainty: Multiwave Experimental Evidence for UK GDP. Journal of money credit and banking. 56(1). 81–114. 1 indexed citations
7.
Koop, Gary, et al.. (2023). Incorporating short data into large mixed-frequency vector autoregressions for regional nowcasting. Journal of the Royal Statistical Society Series A (Statistics in Society). 187(2). 477–495. 2 indexed citations
8.
Huber, Florian, et al.. (2023). Predictive Density Combination Using a Tree-Based Synthesis Function. SSRN Electronic Journal.
9.
Huber, Florian, et al.. (2023). Bayesian Modeling of Time-Varying Parameters Using Regression Trees. SSRN Electronic Journal. 1 indexed citations
10.
Koop, Gary, Stuart McIntyre, James Mitchell, & Aubrey Poon. (2022). Reconciled Estimates of Monthly GDP in the United States. Journal of Business and Economic Statistics. 41(2). 563–577. 6 indexed citations
11.
Koop, Gary, Stuart McIntyre, James Mitchell, & Aubrey Poon. (2021). NOWCASTING ‘TRUE’ MONTHLY U.S. GDP DURING THE PANDEMIC. National Institute Economic Review. 256. 44–70. 6 indexed citations
12.
Rivera, Christopher J., et al.. (2021). English Learners with Significant Cognitive Disabilities: Reflecting on Diverse Needs and a Call to Advance Effective Practice. Multiple Voices for Ethnically Diverse Exceptional Learners. 21(2). 38–47. 1 indexed citations
13.
Bles, Anne Marthe van der, Sander van der Linden, Alexandra L. J. Freeman, et al.. (2019). Communicating uncertainty about facts, numbers and science. Royal Society Open Science. 6(5). 181870–181870. 249 indexed citations breakdown →
14.
Kapetanios, George, et al.. (2014). Generalised Density Forecast Combinations. SSRN Electronic Journal. 12 indexed citations
15.
Matheson, Troy, James Mitchell, & Brian Silverstone. (2009). Nowcasting and predicting data revisions using panel survey data. Journal of Forecasting. 29(3). 313–330. 9 indexed citations
16.
Mitchell, James. (2009). WHERE ARE WE NOW? THE UK RECESSION AND NOWCASTING GDP GROWTH USING STATISTICAL MODELS. National Institute Economic Review. 209(1). 60–69. 11 indexed citations
17.
Mitchell, James, et al.. (2005). An Indicator of Monthly GDP and an Early Estimate of Quarterly GDP Growth. SSRN Electronic Journal. 2 indexed citations
18.
Mitchell, James. (2005). The Use of Non-Normal Distributions in Quantifying Qualitative Survey Data. SSRN Electronic Journal.
19.
Mitchell, James, et al.. (2005). An Indicator of Monthly GDP and an Early Estimate of Quarterly GDP Growth. The Economic Journal. 115(501). F108–F129. 79 indexed citations
20.
Mitchell, James, et al.. (2001). Behavioural and Psychological Factors in Financial Markets: A Review. UWA Profiles and Research Repository (UWA). 14(2). 150–172. 2 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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