Mark Salmon

2.3k citations
73 papers · 1.2k · h-index 19

Impact in

Papers in

    • Complex Systems and Time Series Analysis 12
    • Economic theories and models 10
    • Market Dynamics and Volatility 10
    • Financial Markets and Investment Strategies 16
    • Financial Risk and Volatility Modeling 11

Mark Salmon

70 papers receiving 1.1k citations

Peers

Mark Salmon
Comparison fields: 5 of 123
  • Finance 456
  • General Economics, Econometrics and Finance 375
  • Economics and Econometrics 633
  • General Decision Sciences 24
  • Statistics and Probability 105
Replace Ana Beatriz Galvão with:
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Valentyn Panchenko Australia
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Citations per field
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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-authors

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

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982150
2
Learning and Rationality in Economics
1995128
3 198398
4 200991
5 202178
6 198637
7
SENTIMENT AND BETA HERDING
200634
8 201130
9 201829
10 202029
11 200327
12 199626
13 200723
14 199223
15 200422
16 201220
17 198820
18 200219
19 199319
20 200818

About Mark Salmon

Mark Salmon is a scholar working on Economics and Econometrics, Finance, General Economics, Econometrics and Finance, Management Science and Operations Research and Statistics and Probability, having authored 73 papers that have together received 1.2k indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (18 papers), Financial Markets and Investment Strategies (16 papers), Complex Systems and Time Series Analysis (12 papers), Financial Risk and Volatility Modeling (11 papers), Economic theories and models (10 papers), Market Dynamics and Volatility (10 papers), Stock Market Forecasting Methods (5 papers) and Advanced Statistical Methods and Models (5 papers). The work is most often cited by research in Finance (456 citations), General Economics, Econometrics and Finance (375 citations), Economics and Econometrics (633 citations), General Decision Sciences (24 citations) and Statistics and Probability (105 citations). Mark Salmon has collaborated with scholars based in United Kingdom, United States and South Korea. Frequent co-authors include Alan Kirman, Soosung Hwang, Éric Bouyé, Nicholas M. Kiefer, Paul Marriott, Roman Kozhan, Frank Critchley, Paul Fisher, Christoph Schleicher and Massimiliano Marcellino. Their work appears in journals such as Journal of Economic Dynamics and Control, The Economic Journal, European Journal of Finance, Macroeconomic Dynamics 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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