Mary Ann Hanson

2.2k total citations
26 papers, 1.3k citations indexed

About

Mary Ann Hanson is a scholar working on Education, Social Psychology and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Mary Ann Hanson has authored 26 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Education, 9 papers in Social Psychology and 5 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Mary Ann Hanson's work include Higher Education Research Studies (4 papers), Job Satisfaction and Organizational Behavior (4 papers) and Education Systems and Policy (4 papers). Mary Ann Hanson is often cited by papers focused on Higher Education Research Studies (4 papers), Job Satisfaction and Organizational Behavior (4 papers) and Education Systems and Policy (4 papers). Mary Ann Hanson collaborates with scholars based in United States and Canada. Mary Ann Hanson's co-authors include Walter C. Borman, Will Tyson, Kathryn M. Borman, Reginald Lee, Jeffrey J. McHenry, Steven D. Ashworth, J.L. Toquam, Leaetta M. Hough, Sharon Arad and Robert J. Schneider and has published in prestigious journals such as Journal of Applied Psychology, Annual Review of Psychology and Journal of Educational Psychology.

In The Last Decade

Mary Ann Hanson

26 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mary Ann Hanson United States 13 413 339 329 276 256 26 1.3k
Kim-Yin Chan Singapore 17 266 0.6× 464 1.4× 575 1.7× 189 0.7× 125 0.5× 26 1.4k
Dan J. Putka United States 15 153 0.4× 383 1.1× 418 1.3× 251 0.9× 159 0.6× 32 1.3k
Scott Snook United States 12 210 0.5× 393 1.2× 282 0.9× 181 0.7× 64 0.3× 23 1.4k
Sylvia G. Roch United States 17 378 0.9× 295 0.9× 436 1.3× 83 0.3× 165 0.6× 35 1.5k
Karin A. Orvis United States 16 258 0.6× 437 1.3× 528 1.6× 192 0.7× 66 0.3× 24 1.4k
Steven E. Scullen United States 14 132 0.3× 408 1.2× 559 1.7× 177 0.6× 113 0.4× 19 1.5k
Jennifer Hedlund United States 13 192 0.5× 771 2.3× 318 1.0× 268 1.0× 67 0.3× 17 1.4k
Anthony J. Mento United States 13 160 0.4× 563 1.7× 653 2.0× 199 0.7× 127 0.5× 25 1.6k
Robert Pryor Australia 24 724 1.8× 472 1.4× 358 1.1× 202 0.7× 813 3.2× 77 1.7k
Kelsey E. Medeiros United States 20 218 0.5× 224 0.7× 138 0.4× 320 1.2× 243 0.9× 48 1.5k

Countries citing papers authored by Mary Ann Hanson

Since Specialization
Citations

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

Fields of papers citing papers by Mary Ann Hanson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary Ann Hanson. 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 Mary Ann Hanson. The network helps show where Mary Ann Hanson may publish in the future.

Co-authorship network of co-authors of Mary Ann Hanson

This figure shows the co-authorship network connecting the top 25 collaborators of Mary Ann Hanson. A scholar is included among the top collaborators of Mary Ann Hanson 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 Mary Ann Hanson. Mary Ann Hanson 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.
Hanson, Mary Ann, et al.. (2021). Using Restorative Practices to Reduce Racially Disproportionate School Suspensions: The Barriers School Leaders Should Consider During the First Year of Implementation. Digital Scholarship - UNLV (University of Nevada Reno). 20(2). 6. 6 indexed citations
2.
Way, Jason D., et al.. (2016). Effects of Psychosocial Characteristics of Middle School Students on High School Grades and On-Time Graduation. European Journal of Psychological Assessment. 32(1). 75–83. 6 indexed citations
3.
Camara, Wayne J., et al.. (2015). Beyond Academics: A Holistic Framework for Enhancing Education and Workplace Success. ACT Research Report Series. 2015 (4).. 6 indexed citations
4.
Camara, Wayne J., Krista D. Mattern, & Mary Ann Hanson. (2015). Beyond Academics: A Holistic Framework for Enhancing Education and Workplace Success. 33 indexed citations
6.
Beckman, Robert A., et al.. (2013). Readiness, Behavior, and Foundational Mathematics Course Success. Journal of developmental education. 37(1). 14. 3 indexed citations
7.
Casillas, Alex, et al.. (2012). Predicting early academic failure in high school from prior academic achievement, psychosocial characteristics, and behavior.. Journal of Educational Psychology. 104(2). 407–420. 137 indexed citations
8.
Casillas, Alex, et al.. (2011). Development and Validation of ENGAGE[TM] Grades 6-9. ACT Research Report Series, 2011-1.. 2 indexed citations
9.
Allen, Jeff, et al.. (2011). Lessons Learned Implementing Online Teacher Professional Development within a School Improvement Initiative. 2 indexed citations
10.
Tyson, Will, Reginald Lee, Kathryn M. Borman, & Mary Ann Hanson. (2007). Science, Technology, Engineering, and Mathematics (STEM) Pathways: High School Science and Math Coursework and Postsecondary Degree Attainment. Journal of Education for Students Placed at Risk (JESPAR). 12(3). 243–270. 313 indexed citations
11.
Tyson, Will, Kathryn M. Borman, & Mary Ann Hanson. (2006). Race, Class, and Gender in High School Course-Taking and Achievement among Florida Public High School Graduates. 1–23. 1 indexed citations
12.
Hanson, Mary Ann & Walter C. Borman. (2006). Citizenship Performance: An Integrative Review and Motivational Analysis. 141. 21 indexed citations
13.
Hanson, Mary Ann, et al.. (2001). Transforming Georgetown through Technology. Campus Profile. ˜The œEDUCAUSE quarterly/EDUCAUSE quarterly. 24(2). 46–50. 3 indexed citations
14.
Borman, Walter C., et al.. (2001). An examination of the comparative reliability, validity, and accuracy of performance ratings made using computerized adaptive rating scales.. Journal of Applied Psychology. 86(5). 965–973. 109 indexed citations
15.
Borman, Walter C., et al.. (2001). Performance assessment for a population of jobs. Digital Commons - University of South Florida (University of South Florida). 181. 6 indexed citations
16.
Borman, Walter C., et al.. (2001). An examination of the comparative reliability, validity, and accuracy of performance ratings made using computerized adaptive rating scales.. Journal of Applied Psychology. 86(5). 965–973. 11 indexed citations
17.
Hedge, Jerry W., et al.. (2000). Selecting Pilots With Crew Resource Management Skills. International Journal of Aviation Psychology. 10(4). 377–392. 23 indexed citations
18.
Hanson, Mary Ann, Leonard N. Matheson, & Walter C. Borman. (2000). The O*NET Occupational Information System. Digital Commons - University of South Florida (University of South Florida). 281. 2 indexed citations
19.
Arad, Sharon, Mary Ann Hanson, & Robert J. Schneider. (1997). A Framework for the Study of Relationships Between Organizational Characteristics and Organizational Innovation. The Journal of Creative Behavior. 31(1). 42–58. 136 indexed citations
20.
Borman, Walter C., Mary Ann Hanson, & Jerry W. Hedge. (1997). PERSONNEL SELECTION. Annual Review of Psychology. 48(1). 299–337. 94 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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