Madelynn Stackhouse

45 total papers · 619 total citations
27 papers, 384 citations indexed

About

Madelynn Stackhouse is a scholar working on Social Psychology, Sociology and Political Science and Clinical Psychology. According to data from OpenAlex, Madelynn Stackhouse has authored 27 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Social Psychology, 9 papers in Sociology and Political Science and 8 papers in Clinical Psychology. Recurrent topics in Madelynn Stackhouse's work include Forgiveness and Related Behaviors (11 papers), Grief, Bereavement, and Mental Health (5 papers) and Ethics in Business and Education (5 papers). Madelynn Stackhouse is often cited by papers focused on Forgiveness and Related Behaviors (11 papers), Grief, Bereavement, and Mental Health (5 papers) and Ethics in Business and Education (5 papers). Madelynn Stackhouse collaborates with scholars based in United States and Canada. Madelynn Stackhouse's co-authors include Babatunde Ogunfowora, Susan D. Boon, Nick Turner, Jennifer Argo, Katherine White, Vas Taras, Piers Steel, Kyler R. Rasmussen, James Agarwal and Oleksiy Osiyevskyy and has published in prestigious journals such as Journal of Business Research, Journal of Business Ethics and Journal of Organizational Behavior.

In The Last Decade

Madelynn Stackhouse

23 papers receiving 371 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Madelynn Stackhouse	141	105	93	81	72	27	384
Muhammad Zeeshan Mirza	60 0.4×	57 0.5×	67 0.7×	22 0.3×	192 2.7×	28	370
Zitong Sheng	125 0.9×	27 0.3×	130 1.4×	64 0.8×	141 2.0×	26	430
Ganli Liao	92 0.7×	63 0.6×	80 0.9×	17 0.2×	143 2.0×	26	407
Xingshan Zheng	94 0.7×	75 0.7×	64 0.7×	36 0.4×	247 3.4×	27	381
Hongmin Yan	39 0.3×	85 0.8×	136 1.5×	22 0.3×	125 1.7×	17	350
Wisanupong Potipiroon	71 0.5×	73 0.7×	140 1.5×	23 0.3×	247 3.4×	31	436
Amir Riaz	69 0.5×	57 0.5×	95 1.0×	41 0.5×	183 2.5×	27	435
Wei Ying Chong	45 0.3×	45 0.4×	75 0.8×	31 0.4×	163 2.3×	19	404
Jih‐Yu Mao	191 1.4×	37 0.4×	101 1.1×	63 0.8×	237 3.3×	39	401
Shuzhen Liu	66 0.5×	57 0.5×	53 0.6×	15 0.2×	149 2.1×	28	340

Countries citing papers authored by Madelynn Stackhouse

Since Specialization

Citations

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

Fields of papers citing papers by Madelynn Stackhouse

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Madelynn Stackhouse

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

All Works

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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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