John Sachs

1.1k total citations
32 papers, 776 citations indexed

About

John Sachs is a scholar working on Education, Social Psychology and Developmental and Educational Psychology. According to data from OpenAlex, John Sachs has authored 32 papers receiving a total of 776 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Education, 10 papers in Social Psychology and 9 papers in Developmental and Educational Psychology. Recurrent topics in John Sachs's work include Innovative Teaching and Learning Methods (7 papers), Motivation and Self-Concept in Sports (5 papers) and Education, Achievement, and Giftedness (4 papers). John Sachs is often cited by papers focused on Innovative Teaching and Learning Methods (7 papers), Motivation and Self-Concept in Sports (5 papers) and Education, Achievement, and Giftedness (4 papers). John Sachs collaborates with scholars based in Hong Kong, United States and China. John Sachs's co-authors include Nirmala Rao, Carol K. K. Chan, Barbara E. Moely, Li‐fang Zhang, Yin‐kum Law, Carol K. K. Chan, Emily Cheung, Shing On Leung, Richard F. Donnelly and D. Neil Watkins and has published in prestigious journals such as Educational and Psychological Measurement, Contemporary Educational Psychology and British Journal of Educational Psychology.

In The Last Decade

John Sachs

30 papers receiving 674 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Sachs Hong Kong 13 394 317 274 176 104 32 776
Arturo Olivárez United States 14 635 1.6× 209 0.7× 285 1.0× 241 1.4× 129 1.2× 38 1.0k
Marianne Miserandino United States 6 185 0.5× 128 0.4× 279 1.0× 173 1.0× 75 0.7× 15 554
Christine E. Daley United States 17 316 0.8× 397 1.3× 227 0.8× 118 0.7× 116 1.1× 35 1.2k
Denise L. Winsor United States 6 316 0.8× 238 0.8× 163 0.6× 125 0.7× 93 0.9× 21 722
Serge Larivée Canada 12 289 0.7× 216 0.7× 166 0.6× 142 0.8× 264 2.5× 114 753
Chit-Kwong Kong Hong Kong 11 344 0.9× 121 0.4× 362 1.3× 387 2.2× 81 0.8× 16 824
Antonio González Fernández Spain 13 336 0.9× 115 0.4× 293 1.1× 130 0.7× 129 1.2× 64 788
Toni M. Kempler United States 5 438 1.1× 220 0.7× 364 1.3× 303 1.7× 59 0.6× 5 825
Shawn Van Etten United States 10 375 1.0× 194 0.6× 286 1.0× 257 1.5× 64 0.6× 14 692
Bing H. Ngu Australia 18 353 0.9× 261 0.8× 384 1.4× 339 1.9× 155 1.5× 75 921

Countries citing papers authored by John Sachs

Since Specialization
Citations

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

Fields of papers citing papers by John Sachs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Sachs

This figure shows the co-authorship network connecting the top 25 collaborators of John Sachs. A scholar is included among the top collaborators of John Sachs 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 John Sachs. John Sachs 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.
Law, Yin‐kum, Carol K. K. Chan, & John Sachs. (2008). Beliefs about learning, self‐regulated strategies and text comprehension among Chinese children. British Journal of Educational Psychology. 78(1). 51–73. 75 indexed citations
2.
Sachs, John & Shing On Leung. (2007). SHORTENED VERSIONS OF FENNEMA-SHERMAN MATHEMATIC ATTITUDE SCALES EMPLOYING TRACE INFORMATION. PSYCHOLOGIA. 50(3). 224–235. 6 indexed citations
3.
Cheung, Emily & John Sachs. (2006). Test of the Technology Acceptance Model for a Web-Based Information System in a Hong Kong Chinese Sample. Psychological Reports. 99(3). 691–703. 11 indexed citations
4.
Leung, Shing On & John Sachs. (2005). Bhargava and Ishizuka's BI-Method: A Neglected Method for Variable Selection. The Journal of Experimental Education. 73(4). 353–367. 3 indexed citations
5.
Sachs, John. (2004). SUPERSTITION AND SELF-EFFICACY IN CHINESE POSTGRADUATE STUDENTS. Psychological Reports. 95(6). 485–485. 3 indexed citations
6.
Sachs, John. (2003). VALIDATION OF THE SATISFACTION WITH LIFE SCALE IN A SAMPLE OF HONG KONG UNIVERSITY STUDENTS. PSYCHOLOGIA. 46(4). 225–234. 112 indexed citations
7.
Sachs, John, et al.. (2003). A nonparametric item analysis of a selected item subset of the Learning Process Questionnaire. British Journal of Educational Psychology. 73(3). 395–423. 8 indexed citations
8.
Sachs, John & Carol K. K. Chan. (2003). Dual Scaling Analysis of Chinese Students' Conceptions of Learning. Educational Psychology. 23(2). 181–193. 17 indexed citations
9.
Sachs, John, Yin‐kum Law, & Carol K. K. Chan. (2002). AN ANALYSIS OF THE RELATIONSHIP BETWEEN THE MOTIVATED STRATEGIES FOR LEARNING QUESTIONNAIRE AND THE LEARNING PROCESS QUESTIONNAIRE. PSYCHOLOGIA. 45(3). 193–203. 9 indexed citations
10.
Sachs, John. (2002). A Path Model for Students' Attitude to Writing a Thesis. Scandinavian Journal of Educational Research. 46(1). 99–108. 23 indexed citations
11.
Sachs, John, et al.. (2001). A NONPARAMETRIC ITEM ANALYSIS OF THE MOTIVATED STRATEGIES FOR LEARNING QUESTIONNAIRE—CHINESE VERSION. PSYCHOLOGIA. 44(3). 197–208. 25 indexed citations
12.
Sachs, John. (2001). A Path Model for Adult Learner Feedback. Educational Psychology. 21(3). 267–275. 19 indexed citations
13.
Sachs, John, et al.. (2000). Item‐level and subscale‐level factoring of Biggs’ Learning Process Questionnaire (LPQ) in a mainland Chinese sample. British Journal of Educational Psychology. 70(3). 405–418. 13 indexed citations
14.
Rao, Nirmala, Barbara E. Moely, & John Sachs. (2000). Motivational Beliefs, Study Strategies, and Mathematics Attainment in High- and Low-Achieving Chinese Secondary School Students. Contemporary Educational Psychology. 25(3). 287–316. 120 indexed citations
15.
Sachs, John. (1999). The Hidden Conspiracy in Our Nation's Schools. Behavioral Disorders. 25(1). 80–82. 2 indexed citations
16.
Rao, Nirmala & John Sachs. (1999). Confirmatory Factor Analysis of the Chinese Version of the Motivated Strategies for Learning Questionnaire. Educational and Psychological Measurement. 59(6). 1016–1029. 92 indexed citations
17.
Zhang, Li‐fang & John Sachs. (1997). Assessing Thinking Styles in the Theory of Mental Self-Government: A Hong Kong Validity Study. Psychological Reports. 81(3). 915–928. 66 indexed citations
18.
Sachs, John, et al.. (1997). How to construct a Cloze test: Lessons from testing measurement theory models. 5 indexed citations
19.
Watkins, D. Neil, John Sachs, & Murari Regmi. (1997). Confirmatory Factor Analysis of the Revised Causal Dimension Scale: A Nepalese Investigation. Psychological Reports. 81(3). 963–967. 5 indexed citations
20.
Sachs, John. (1988). Teacher Preparation, Teacher Self-Efficacy and the Regular Education Initiative.. Education and training in mental retardation. 23(4). 6 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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