Matthew Smith

19 papers receiving 310 citations

Peers

Matthew Smith
Comparison fields: 5 of 50
  • General Economics, Econometrics and Finance 191
  • Finance 78
  • Economics and Econometrics 188
  • General Decision Sciences 4
  • Artificial Intelligence 56
Replace Gabriel Vasconcelos with:
Gabriel Vasconcelos Brazil
Amirhossein Mohammadian Canada
N. Coleman United States
Alessio Sancetta United Kingdom
Martin Møller Andreasen Denmark
András Fülöp France
Abderrahim Taamouti United Kingdom
Michael Vogt Germany
Bin Peng China
Stephan Kossmeier Austria
Matthew Smith relative to Gabriel Vasconcelos Brazil Gabriel Vasconcelos's profile →
Citations per field
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Gabriel Vasconcelos · 1×
Citations per year

Countries citing papers authored by Matthew Smith

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Matthew Smith, 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 Matthew Smith Line = papers co-authored together Matthew Smith links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017124
2 201369
3 201251
4 201217
5 201214
6
Analysis of target velocity and position estimation via doppler-shift measurements
20118
7 20038
8 20106
9 20025
10 20234
11 20064
12 20144
13
Doubts and Variability
20103
14 20122
15 20082
16 19951
17 20091
18 20071
19 20171
20 20111

About Matthew Smith

Matthew Smith is a scholar working on General Economics, Econometrics and Finance, Sociology and Political Science, Economics and Econometrics, Finance and Artificial Intelligence, having authored 25 papers that have together received 327 indexed citations. Recurring topics across this work include Economic Theory and Policy (14 papers), Political Economy and Marxism (11 papers), Economic Theory and Institutions (9 papers), Monetary Policy and Economic Impact (3 papers), Target Tracking and Data Fusion in Sensor Networks (3 papers), Economic theories and models (2 papers), Global Financial Crisis and Policies (2 papers) and Radar Systems and Signal Processing (1 paper). The work is most often cited by research in General Economics, Econometrics and Finance (191 citations), Finance (78 citations), Economics and Econometrics (188 citations), General Decision Sciences (4 citations) and Artificial Intelligence (56 citations). Matthew Smith has collaborated with scholars based in Australia, United States and Sweden. Frequent co-authors include Christopher Gust, Edward Herbst, David López‐Salido, Adrian N. Bishop, Iman Shames, Brian D. O. Anderson, J. David López‐Salido, Chris Coulson, Nishchay Mehta and Jameel Muzaffar. Their work appears in journals such as Contributions to Political Economy, Review of Political Economy, European Journal of the History of Economic Thought, Journal of the History of Economic Thought and IEEE Transactions on Aerospace and Electronic Systems.

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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