Mark Salmon

2.2k citations
60 papers · 935 indexed · h-index 16

Impact in

Papers in

Mark Salmon

58 papers receiving 839 citations

Peers

Mark Salmon
Comparison fields: 5 of 118
  • Finance 393
  • General Economics, Econometrics and Finance 288
  • Economics and Econometrics 519
  • Health Informatics 16
  • Statistics and Probability 90
Replace Ana Beatriz Galvão with:
Ana Beatriz Galvão United Kingdom
James Mitchell United Kingdom
Fallaw Sowell United States
Alberto Holly Switzerland
Ivan Jeliazkov United States
Nikolay Gospodinov United States
A. R. Bergstrom United Kingdom
Michel Terraza France
Geert Dhaene Belgium
Mark Salmon relative to Ana Beatriz Galvão United Kingdom Ana Beatriz Galvão's profile →
Citations per field
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Ana Beatriz Galvão · 1×
Citations per year

Countries citing papers authored by Mark Salmon

Since Specialization
Citations

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

Fields of papers citing papers by Mark Salmon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Mark Salmon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark Salmon Line = papers co-authored together Mark Salmon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20242
3 20243
4 20182
5
Underconfidence, Pessimism and the Low-Beta Anomaly
20172
6 20174
7
Sentiment, Beta Herding, and Cross-sectional Asset Returns
20133
8 200983
9 200917
10 20083
11 20081
12
SENTIMENT AND BETA HERDING
200634
13
Using Copulas to Construct Bivariate Foreign Exchange Distributions with an Application to the Sterling Exchange Rate Index
20056
14 200325
15
AGGREGATE ACTIVITY AND ECONOMIC ORGANISATION
19992
16 199620
17
Learning and Rationality in Economics
1995105
18 19904
19 198812
20
Analysis of commodity markets for policy purposes
19785

About Mark Salmon

Mark Salmon is a scholar working on Finance, General Economics, Econometrics and Finance, Economics and Econometrics, General Decision Sciences and General Psychology, having authored 60 papers that have together received 935 indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (16 papers), Financial Markets and Investment Strategies (15 papers), Complex Systems and Time Series Analysis (11 papers), Market Dynamics and Volatility (10 papers), Financial Risk and Volatility Modeling (10 papers), Economic theories and models (9 papers), Digital Mental Health Interventions (4 papers) and Stock Market Forecasting Methods (4 papers). The work is most often cited by research in Finance (393 citations), General Economics, Econometrics and Finance (288 citations), Economics and Econometrics (519 citations), Health Informatics (16 citations) and Statistics and Probability (90 citations). Mark Salmon has collaborated with scholars based in United Kingdom, United States and South Korea. Frequent co-authors include Alan Kirman, Éric Bouyé, Soosung Hwang, Nicholas M. Kiefer, Roman Kozhan, Frank Critchley, Paul Marriott, Paul Fisher, Christoph Schleicher and Niels Haldrup. Their work appears in journals such as Journal of Economic Dynamics and Control, The Economic Journal, Digital Health, European Journal of Finance and The Annals of Statistics.

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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