Matthew Groh

2.2k total citations · 2 hit papers
25 papers, 1.2k citations indexed

About

Matthew Groh is a scholar working on Economics and Econometrics, Sociology and Political Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Matthew Groh has authored 25 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Economics and Econometrics, 9 papers in Sociology and Political Science and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Matthew Groh's work include Labor market dynamics and wage inequality (5 papers), Psychology of Moral and Emotional Judgment (4 papers) and Misinformation and Its Impacts (3 papers). Matthew Groh is often cited by papers focused on Labor market dynamics and wage inequality (5 papers), Psychology of Moral and Emotional Judgment (4 papers) and Misinformation and Its Impacts (3 papers). Matthew Groh collaborates with scholars based in United States, Germany and United Kingdom. Matthew Groh's co-authors include David McKenzie, Tara Vishwanath, Ziv Epstein, Morgan R. Frank, Rosalind W. Picard, Nandini Krishnan, Chaz Firestone, Manuel Cebrián, Iyad Rahwan and Dashun Wang and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Medicine.

In The Last Decade

Matthew Groh

25 papers receiving 1.1k citations

Hit Papers

Toward understanding the impact of artificial intelligenc... 2019 2026 2021 2023 2019 2023 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Groh United States 13 279 267 230 212 109 25 1.2k
Cathy O’Neil United Kingdom 7 95 0.3× 347 1.3× 262 1.1× 335 1.6× 37 0.3× 8 1.3k
Chris Snijders Netherlands 21 102 0.4× 429 1.6× 227 1.0× 226 1.1× 43 0.4× 75 1.6k
Ryan Calo United States 19 107 0.4× 622 2.3× 421 1.8× 498 2.3× 38 0.3× 54 1.7k
Martin Adam Germany 14 97 0.3× 437 1.6× 547 2.4× 156 0.7× 26 0.2× 89 1.3k
Mireille Hildebrandt Belgium 20 79 0.3× 469 1.8× 338 1.5× 412 1.9× 39 0.4× 94 1.3k
Anja Lambrecht United Kingdom 20 284 1.0× 791 3.0× 197 0.9× 225 1.1× 17 0.2× 56 2.0k
Hila Lifshitz‐Assaf United States 13 84 0.3× 238 0.9× 191 0.8× 189 0.9× 11 0.1× 30 1.3k
Tina Blegind Jensen Denmark 14 104 0.4× 581 2.2× 177 0.8× 287 1.4× 9 0.1× 57 1.8k
Grzegorz Mazurek Poland 16 76 0.3× 377 1.4× 463 2.0× 136 0.6× 26 0.2× 43 1.4k
Nithya Sambasivan United States 19 44 0.2× 283 1.1× 278 1.2× 228 1.1× 73 0.7× 46 1.4k

Countries citing papers authored by Matthew Groh

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Groh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Groh

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Groh. A scholar is included among the top collaborators of Matthew Groh 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 Groh. Matthew Groh 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.
Kumar, Aakriti, et al.. (2025). Characterizing Photorealism and Artifacts in Diffusion Model-Generated Images. 1–26. 1 indexed citations
2.
Danry, Valdemar, Pat Pataranutaporn, Matthew Groh, & Ziv Epstein. (2025). Deceptive Explanations by Large Language Models Lead People to Change their Beliefs About Misinformation More Often than Honest Explanations. 1–31. 2 indexed citations
3.
Groh, Matthew, et al.. (2024). Human detection of political speech deepfakes across transcripts, audio, and video. Nature Communications. 15(1). 7629–7629. 22 indexed citations
4.
Groh, Matthew, et al.. (2024). Deep learning-aided decision support for diagnosis of skin disease across skin tones. Nature Medicine. 30(2). 573–583. 48 indexed citations
5.
Ramon, Meike, Matthew J. Vowels, & Matthew Groh. (2024). Deepfake Detection in Super-Recognizers and Police Officers. IEEE Security & Privacy. 22(3). 68–76. 6 indexed citations
6.
7.
Groh, Matthew & Meike Ramon. (2022). Do Super Recognizers Excel at Deepfake Detection?. Journal of Vision. 22(14). 3993–3993. 1 indexed citations
8.
Groh, Matthew, et al.. (2022). Towards Transparency in Dermatology Image Datasets with Skin Tone Annotations by Experts, Crowds, and an Algorithm. Proceedings of the ACM on Human-Computer Interaction. 6(CSCW2). 1–26. 24 indexed citations
9.
Groh, Matthew, Ziv Epstein, Chaz Firestone, & Rosalind W. Picard. (2021). Deepfake detection by human crowds, machines, and machine-informed crowds. Proceedings of the National Academy of Sciences. 119(1). 122 indexed citations
10.
Groh, Matthew, Ziv Epstein, Rosalind W. Picard, & Chaz Firestone. (2021). Human Detection of Deepfakes: A Role for Holistic Face Processing. Journal of Vision. 21(9). 2390–2390. 2 indexed citations
11.
Groh, Matthew, Nandini Krishnan, David McKenzie, & Tara Vishwanath. (2016). Do Wage Subsidies Provide a Stepping-Stone to Employment for Recent College Graduates? Evidence from a Randomized Experiment in Jordan. The Review of Economics and Statistics. 98(3). 488–502. 43 indexed citations
12.
Groh, Matthew, Nandini Krishnan, David McKenzie, & Tara Vishwanath. (2016). The impact of soft skills training on female youth employment: evidence from a randomized experiment in Jordan. RePEc: Research Papers in Economics. 5(1). 50 indexed citations
13.
Groh, Matthew, David McKenzie, & Tara Vishwanath. (2015). Reducing Information Asymmetries in the Youth Labor Market of Jordan with Psychometrics and Skill Based Tests. The World Bank Economic Review. 29(suppl 1). S106–S117. 23 indexed citations
14.
Groh, Matthew & David McKenzie. (2015). Macroinsurance for Microenterprises: A Randomized Experiment in Post-Revolution Egypt. Elsevier eBooks. 2 indexed citations
15.
Groh, Matthew, et al.. (2015). Testing the importance of search frictions and matching through a randomized experiment in Jordan. RePEc: Research Papers in Economics. 4(1). 32 indexed citations
16.
Groh, Matthew & David McKenzie. (2014). Macroinsurance for Microenterprises: A Randomized Experiment in Post-Revolution Egypt. The World Bank Open Knowledge Repository (World Bank). 4 indexed citations
17.
18.
Groh, Matthew, et al.. (2014). Testing the Importance of Search Frictions, Matching, and Reservation Prestige through Randomized Experiments in Jordan. The World Bank Open Knowledge Repository (World Bank). 9 indexed citations
19.
Groh, Matthew & Casey Rothschild. (2012). Oil, Islam, Women, and Geography: A Comment on. Quarterly Journal of Political Science. 7(1). 69–87. 18 indexed citations
20.
Groh, Matthew, Nandini Krishnan, David McKenzie, & Tara Vishwanath. (2012). Soft Skills or Hard Cash? The Impact of Training and Wage Subsidy Programs on Female Youth Employment in Jordan. World Bank, Washington, DC eBooks. 62 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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