Matthew Backus

930 citations
15 papers · 416 · h-index 9

Impact in

Papers in

Matthew Backus

13 papers receiving 378 citations

Peers

Matthew Backus
Comparison fields: 5 of 51
  • Marketing 89
  • Economics and Econometrics 194
  • Accounting 81
  • Management Science and Operations Research 88
  • General Decision Sciences 12
Replace Paolo Buccirossi with:
Paolo Buccirossi United States
Bruce H. Kobayashi United States
Nicola Jentzsch Germany
Jan Bouckaert Belgium
Sandro Brusco United States
Steven Slutsky United States
Juan‐José Ganuza Spain
Myong‐Hun Chang United States
Nikolaos Vettas Greece
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Citations per field
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Paolo Buccirossi · 1×
Citations per year

Countries citing papers authored by Matthew Backus

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Backus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Matthew Backus, 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 Backus Line = papers co-authored together Matthew Backus links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
E-Governance and developing countries : introduction and examples
2001104
2 2021102
3 202064
4 201855
5 202034
6 201015
7 202011
8 201410
9 20218
10
An Estimable Demand System for a Large Auction Platform Market
20097
11 20204
12 20241
13 20211
14 20250
15 20220

About Matthew Backus

Matthew Backus is a scholar working on Economics and Econometrics, Management Science and Operations Research, Marketing, Safety Research and Accounting, having authored 15 papers that have together received 416 indexed citations. Recurring topics across this work include Auction Theory and Applications (9 papers), Experimental Behavioral Economics Studies (5 papers), Consumer Market Behavior and Pricing (5 papers), Merger and Competition Analysis (4 papers), Corporate Finance and Governance (3 papers), Law, Economics, and Judicial Systems (3 papers), Game Theory and Voting Systems (3 papers) and Digital Platforms and Economics (2 papers). The work is most often cited by research in Marketing (89 citations), Economics and Econometrics (194 citations), Accounting (81 citations), Management Science and Operations Research (88 citations) and General Decision Sciences (12 citations). Matthew Backus has collaborated with scholars based in United States, Ireland and United Kingdom. Frequent co-authors include Christopher T. Conlon, Michael Sinkinson, Steven Tadelis, Thomas Blake, Gregory Lewis, Henry S. Schneider, Andrew T. Little and Dimitriy V. Masterov. Their work appears in journals such as The Quarterly Journal of Economics, The Review of Economic Studies, Journal of the European Economic Association, American Economic Journal Microeconomics and Management Science.

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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