Matthew G. Interis

613 total citations
31 papers, 439 citations indexed

About

Matthew G. Interis is a scholar working on Economics and Econometrics, General Decision Sciences and Marketing. According to data from OpenAlex, Matthew G. Interis has authored 31 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Economics and Econometrics, 12 papers in General Decision Sciences and 10 papers in Marketing. Recurrent topics in Matthew G. Interis's work include Economic and Environmental Valuation (22 papers), Decision-Making and Behavioral Economics (12 papers) and Organic Food and Agriculture (8 papers). Matthew G. Interis is often cited by papers focused on Economic and Environmental Valuation (22 papers), Decision-Making and Behavioral Economics (12 papers) and Organic Food and Agriculture (8 papers). Matthew G. Interis collaborates with scholars based in United States, Canada and South Korea. Matthew G. Interis's co-authors include Daniel R. Petrolia, Timothy C. Haab, John C. Whitehead, Ardian Harri, Jay F. Martin, Brian E. Roe, Michael K. Hidrue, Titus O. Awokuse, Nathan W. Chan and Dale T. Manning and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Sustainability.

In The Last Decade

Matthew G. Interis

27 papers receiving 402 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew G. Interis United States 12 306 111 99 75 62 31 439
Michela Faccioli United Kingdom 11 182 0.6× 108 1.0× 123 1.2× 24 0.3× 60 1.0× 19 432
Mette Wik Norway 8 223 0.7× 77 0.7× 60 0.6× 50 0.7× 13 0.2× 9 510
William L. Huth United States 12 228 0.7× 85 0.8× 28 0.3× 21 0.3× 50 0.8× 26 373
Thomas F. Weaver United States 9 322 1.1× 84 0.8× 86 0.9× 62 0.8× 43 0.7× 15 425
Àngel Bujosa Bestard Spain 11 209 0.7× 79 0.7× 80 0.8× 16 0.2× 70 1.1× 18 543
SangYoel Han South Korea 6 247 0.8× 104 0.9× 63 0.6× 13 0.2× 30 0.5× 17 337
Andrea Báez Chile 10 134 0.4× 116 1.0× 68 0.7× 6 0.1× 25 0.4× 27 469
Thomas W. Blaine United States 10 221 0.7× 71 0.6× 83 0.8× 5 0.1× 29 0.5× 23 485
E. Jane Luzar United States 10 232 0.8× 91 0.8× 144 1.5× 4 0.1× 113 1.8× 23 480
Ganga Shreedhar United Kingdom 12 65 0.2× 29 0.3× 100 1.0× 6 0.1× 43 0.7× 31 397

Countries citing papers authored by Matthew G. Interis

Since Specialization
Citations

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

Fields of papers citing papers by Matthew G. Interis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew G. Interis

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew G. Interis. A scholar is included among the top collaborators of Matthew G. Interis 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 Matthew G. Interis. Matthew G. Interis 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.
Interis, Matthew G., et al.. (2025). Consumer willingness-to-pay for blockchain-based QR code traceability of leafy greens. PLoS ONE. 20(10). e0331614–e0331614.
2.
Interis, Matthew G., et al.. (2025). Reporting willingness to pay estimates from random parameters models. 4(3). 274–284.
3.
Ando, Amy W., Titus O. Awokuse, Nathan W. Chan, et al.. (2023). Environmental and Natural Resource Economics and Systemic Racism. Review of Environmental Economics and Policy. 18(1). 143–164. 6 indexed citations
4.
Interis, Matthew G., et al.. (2022). The Impacts of Food Waste Information on Consumer Preferences for Blemished Produce and Implications for Food Retailers. Journal of Agricultural and Applied Economics. 54(3). 440–460. 4 indexed citations
5.
Roe, Brian E., et al.. (2020). Addressing Attribute Value Substitution in Discrete Choice Experiments to Avoid Unintended Consequences. Environmental and Resource Economics. 77(4). 813–838. 6 indexed citations
6.
Interis, Matthew G., et al.. (2017). Estimating the Non-Market Value of a College Sports Tradition. International Journal of Sport Finance. 12(3). 222–241. 3 indexed citations
7.
Haab, Timothy C., Matthew G. Interis, Daniel R. Petrolia, & John C. Whitehead. (2016). Interesting Questions Worthy of Further Study: Our Reply to Desvousges, Mathews, and Train's (2015) Comment on Our Thoughts (2013) on Hausman's (2012) Update of Diamond and Hausman's (1994) Critique of Contingent Valuation. Applied Economic Perspectives and Policy. 38(1). 183–189. 10 indexed citations
8.
Petrolia, Daniel R., et al.. (2016). Single-Choice, Repeated-Choice, and Best-Worst Scaling Elicitation Formats: Do Results Differ and by How Much?. Environmental and Resource Economics. 69(2). 365–393. 16 indexed citations
9.
Interis, Matthew G. & Daniel R. Petrolia. (2016). Location, Location, Habitat: How the Value of Ecosystem Services Varies across Location and by Habitat. Land Economics. 92(2). 292–307. 36 indexed citations
10.
Interis, Matthew G., et al.. (2015). Examining unconditional preference revelation in choice experiments: a voting game approach. Journal of Environmental Economics and Policy. 5(1). 125–142. 2 indexed citations
11.
Petrolia, Daniel R., et al.. (2014). Valuation, Consequentiality, and Opt-Out Responses to Stated Preference Surveys. SSRN Electronic Journal. 7 indexed citations
12.
Interis, Matthew G., et al.. (2014). The Effects of Consequentiality in Binary- and Multinomial-Choice Surveys. SHILAP Revista de lepidopterología. 22 indexed citations
13.
Interis, Matthew G. & Timothy C. Haab. (2014). Norms, self-sanctioning, and contributions to the public good. Journal of Environmental Psychology. 38. 271–278. 3 indexed citations
14.
Interis, Matthew G., et al.. (2014). A Challenge to Three Widely Held Ideas. Journal of Agricultural and Applied Economics. 46(3). 347–356. 1 indexed citations
15.
Interis, Matthew G., et al.. (2014). Health Motivation for Purchasing Local Foods in the Southeastern United States. AgEcon Search (University of Minnesota, USA). 1 indexed citations
16.
Petrolia, Daniel R. & Matthew G. Interis. (2013). Should We Be Using Repeated-Choice Surveys to Value Public Goods?. SSRN Electronic Journal. 5 indexed citations
17.
Haab, Timothy C., et al.. (2013). Identifying inconsistent responses in dichotomous choice contingent valuation with follow-up questions. Resource and Energy Economics. 35(3). 396–411. 4 indexed citations
18.
Haab, Timothy C., Matthew G. Interis, Daniel R. Petrolia, & John C. Whitehead. (2013). From Hopeless to Curious? Thoughts on Hausman's “Dubious to Hopeless” Critique of Contingent Valuation. Applied Economic Perspectives and Policy. 35(4). 593–612. 117 indexed citations
19.
Interis, Matthew G., et al.. (2013). Who Buys Food Directly from Producers in the Southeastern United States?. Journal of Agricultural and Applied Economics. 45(3). 509–518. 17 indexed citations
20.
Interis, Matthew G.. (2011). On Norms: A Typology with Discussion. American Journal of Economics and Sociology. 70(2). 424–438. 22 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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