Michael T. Bixter

550 total citations
29 papers, 324 citations indexed

About

Michael T. Bixter is a scholar working on General Decision Sciences, Sociology and Political Science and Applied Psychology. According to data from OpenAlex, Michael T. Bixter has authored 29 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in General Decision Sciences, 9 papers in Sociology and Political Science and 8 papers in Applied Psychology. Recurrent topics in Michael T. Bixter's work include Decision-Making and Behavioral Economics (10 papers), Experimental Behavioral Economics Studies (6 papers) and Behavioral Health and Interventions (6 papers). Michael T. Bixter is often cited by papers focused on Decision-Making and Behavioral Economics (10 papers), Experimental Behavioral Economics Studies (6 papers) and Behavioral Health and Interventions (6 papers). Michael T. Bixter collaborates with scholars based in United States, United Kingdom and Singapore. Michael T. Bixter's co-authors include Christian C. Luhmann, Wendy A. Rogers, Tracy L. Mitzner, Virginia S. Y. Kwan, Akanksha Prakash, Kenneth A. Blocker, Kevin J. Grimm, Morris A. Okun, Oliver Graudejus and Carrie Masia Warner and has published in prestigious journals such as PLoS ONE, Social Science & Medicine and Personality and Social Psychology Bulletin.

In The Last Decade

Michael T. Bixter

26 papers receiving 315 citations

Peers

Michael T. Bixter

SPS

Cai Xing China

Jiuqing Cheng United States

Wen Cheng Taiwan

Heather Barry Kappes United States

Willem W. A. Sleegers Netherlands

Nathan N. Cheek United States

Justin P. Brienza Australia

Yngwie Asbjørn Nielsen Denmark

Maureen Wang Erber United States

William J. Skylark United Kingdom

Cai Xing China

Michael T. Bixter

77 ×0.8

SPS

151 ×1.7

90 ×1.3

37 ×0.5

68 ×1.4

Citations per year, relative to Michael T. Bixter Michael T. Bixter (= 1×) peers Cai Xing

Countries citing papers authored by Michael T. Bixter

Since Specialization

Citations

This map shows the geographic impact of Michael T. Bixter'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 Michael T. Bixter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael T. Bixter more than expected).

Fields of papers citing papers by Michael T. Bixter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael T. Bixter. 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 Michael T. Bixter. The network helps show where Michael T. Bixter may publish in the future.

Co-authorship network of co-authors of Michael T. Bixter

This figure shows the co-authorship network connecting the top 25 collaborators of Michael T. Bixter. A scholar is included among the top collaborators of Michael T. Bixter 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 Michael T. Bixter. Michael T. Bixter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Bixter, Michael T., et al.. (2024). The impact of acculturative stress on internalizing problems among racially and ethnically minoritized adolescents and young adults in the U.S.: A systematic review and meta-analysis. Social Science & Medicine. 357. 117192–117192. 3 indexed citations

Bixter, Michael T. & Christian C. Luhmann. (2024). Judgment in the presence of multiple conflicting anchors. Acta Psychologica. 252. 104646–104646. 1 indexed citations

Zottoli, Tina M., Rebecca K. Helm, Vanessa A. Edkins, & Michael T. Bixter. (2023). Developing a model of guilty plea decision-making: Fuzzy-trace theory, gist, and categorical boundaries.. Law and Human Behavior. 47(3). 403–421. 5 indexed citations

Bixter, Michael T., et al.. (2023). Great minds think alike: New measures to quantify the similarity of recalls. Behavior Research Methods. 56(5). 4239–4254.

Grapin, Sally L., et al.. (2022). Online racial discrimination and mental health among Black undergraduates: The moderating role of gender. Journal of American College Health. 72(1). 310–318. 4 indexed citations

Warner, Carrie Masia, et al.. (2021). The Relationship Between Social Anxiety and Internalized Racism in Black Young Adults. Journal of Cognitive Psychotherapy. 35(1). 53–63. 11 indexed citations

Bixter, Michael T. & Christian C. Luhmann. (2021). The social contagion of temporal discounting in small social networks. Cognitive Research Principles and Implications. 6(1). 13–13. 3 indexed citations

Bixter, Michael T., et al.. (2020). Delay discounting and risky choice: Meta-analytic evidence regarding single-process theories. Judgment and Decision Making. 15(3). 381–400. 24 indexed citations

Bixter, Michael T., Robert M. Adelman, Morris A. Okun, et al.. (2020). A test of a triadic conceptualization of future self-identification. PLoS ONE. 15(11). e0242504–e0242504. 23 indexed citations

10.

Rogers, Wendy A., Tracy L. Mitzner, & Michael T. Bixter. (2020). Understanding the potential of technology to support enhanced activities of daily living (EADLs). Gerontechnology. 19(2). 125–137. 14 indexed citations

11.

Bixter, Michael T., Kenneth A. Blocker, Tracy L. Mitzner, Akanksha Prakash, & Wendy A. Rogers. (2019). Understanding the use and non-use of social communication technologies by older adults: A qualitative test and extension of the ATAUT model. Gerontechnology. 18(2). 70–88. 35 indexed citations

12.

Kwan, Virginia S. Y., et al.. (2019). Controlling environmental crisis appraisal through knowledge, vividness, and timing. Journal of Environmental Psychology. 61. 93–100. 11 indexed citations

13.

Bixter, Michael T. & Christian C. Luhmann. (2019). Delay discounting in dyads and small groups: Group leadership, status information, and actor-partner interdependence. Journal of Experimental Social Psychology. 86. 103902–103902. 5 indexed citations

14.

Bixter, Michael T. & Wendy A. Rogers. (2019). Age‐related differences in delay discounting: Immediate reward, reward magnitude, and social influence. Journal of Behavioral Decision Making. 32(4). 471–484. 18 indexed citations

15.

Bixter, Michael T., et al.. (2017). Are intertemporal preferences contagious? Evidence from collaborative decision making. Memory & Cognition. 45(5). 837–851. 11 indexed citations

16.

Arfer, Kodi B., Michael T. Bixter, & Christian C. Luhmann. (2015). Reputational concerns, not altruism, motivate restraint when gambling with other people's money. Frontiers in Psychology. 6. 848–848. 5 indexed citations

17.

Bixter, Michael T.. (2014). Happiness, political orientation, and religiosity. Personality and Individual Differences. 72. 7–11. 27 indexed citations

18.

Luhmann, Christian C. & Michael T. Bixter. (2014). Subjective Hazard Rates Rationalize "Irrational" Temporal Preferences. Cognitive Science. 36(36). 2 indexed citations

19.

Bixter, Michael T. & Christian C. Luhmann. (2013). Adaptive intertemporal preferences in foraging-style environments. Frontiers in Neuroscience. 7. 93–93. 9 indexed citations

20.

Bixter, Michael T., et al.. (2013). Working memory differences in illusory recollection of critical lures. Memory & Cognition. 41(5). 716–725. 13 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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