Hans Luyten

2.2k total citations
51 papers, 1.4k citations indexed

About

Hans Luyten is a scholar working on Education, Information Systems and Management and Developmental and Educational Psychology. According to data from OpenAlex, Hans Luyten has authored 51 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Education, 8 papers in Information Systems and Management and 8 papers in Developmental and Educational Psychology. Recurrent topics in Hans Luyten's work include School Choice and Performance (24 papers), Parental Involvement in Education (11 papers) and Early Childhood Education and Development (11 papers). Hans Luyten is often cited by papers focused on School Choice and Performance (24 papers), Parental Involvement in Education (11 papers) and Early Childhood Education and Development (11 papers). Hans Luyten collaborates with scholars based in Netherlands, United Kingdom and Cyprus. Hans Luyten's co-authors include Adrie J. Visscher, Jaap Scheerens, Kim Schildkamp, Martina R.M. Meelissen, Peter Sleegers, Johanna Ebbeler, Cindy L. Poortman, Bob Witziers, Ralf Maslowski and Leōnidas Kyriakidēs and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior and Computers & Education.

In The Last Decade

Hans Luyten

49 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hans Luyten Netherlands 21 976 300 204 115 114 51 1.4k
Joseph J. Pedulla United States 15 690 0.7× 136 0.5× 124 0.6× 72 0.6× 91 0.8× 22 894
Claire Wyatt‐Smith Australia 21 1.0k 1.0× 167 0.6× 191 0.9× 33 0.3× 133 1.2× 102 1.3k
Jennifer King Rice United States 17 1.2k 1.3× 175 0.6× 116 0.6× 37 0.3× 122 1.1× 55 1.4k
Courtney Bell United States 15 1.2k 1.3× 212 0.7× 129 0.6× 32 0.3× 276 2.4× 37 1.5k
Michael J. Feuer United States 9 530 0.5× 140 0.5× 196 1.0× 28 0.2× 143 1.3× 30 874
Marisa Cannata United States 17 841 0.9× 325 1.1× 75 0.4× 24 0.2× 92 0.8× 49 1.0k
Alison Black United States 9 869 0.9× 91 0.3× 346 1.7× 70 0.6× 109 1.0× 14 1.3k
Stuart Luppescu United States 13 987 1.0× 288 1.0× 312 1.5× 31 0.3× 107 0.9× 30 1.4k
Margaret Wu Australia 13 600 0.6× 65 0.2× 171 0.8× 147 1.3× 135 1.2× 29 1.1k
Lin Norton United Kingdom 18 1.0k 1.1× 83 0.3× 185 0.9× 33 0.3× 109 1.0× 44 1.4k

Countries citing papers authored by Hans Luyten

Since Specialization
Citations

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

Fields of papers citing papers by Hans Luyten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hans Luyten

This figure shows the co-authorship network connecting the top 25 collaborators of Hans Luyten. A scholar is included among the top collaborators of Hans Luyten 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 Hans Luyten. Hans Luyten 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.
Hermens, Hermie, et al.. (2021). Chronic fatigue syndrome: Abnormally fast muscle fiber conduction in the membranes of motor units at low static force load. Clinical Neurophysiology. 132(4). 967–974. 7 indexed citations
2.
Luyten, Hans. (2021). The global rise of online chatting and its adverse effect on reading literacy. Studies In Educational Evaluation. 72. 101101–101101. 16 indexed citations
3.
Houben, Carmen, Martijn A. Spruit, Hans Luyten, et al.. (2019). Cluster-randomised trial of a nurse-led advance care planning session in patients with COPD and their loved ones. Thorax. 74(4). 328–336. 55 indexed citations
5.
Schildkamp, Kim, Cindy L. Poortman, Hans Luyten, & Johanna Ebbeler. (2016). Factors promoting and hindering data-based decision making in schools. School Effectiveness and School Improvement. 28(2). 242–258. 98 indexed citations
6.
Schildkamp, Kim, et al.. (2015). Diversity in school performance feedback systems. School Effectiveness and School Improvement. 26(4). 612–638. 6 indexed citations
7.
Luyten, Hans, et al.. (2013). Leerachterstanden van vertraagde leerlingen op normaalvorderende leeftijdgenoten. SHILAP Revista de lepidopterología. 90(5). 45–57. 3 indexed citations
8.
Visscher, Adrie J., et al.. (2013). The effects of professional development on the attitudes, knowledge and skills for data-driven decision making. Studies In Educational Evaluation. 42. 79–90. 37 indexed citations
9.
Luyten, Hans, et al.. (2012). Modeling the Influence of School Leaders on Student Achievement. Educational Administration Quarterly. 48(4). 699–732. 104 indexed citations
10.
Luyten, Hans & Bernard P. Veldkamp. (2011). Assessing Effects of Schooling With Cross-Sectional Data: Between-Grades Differences Addressed as a Selection-Bias Problem. Journal of Research on Educational Effectiveness. 4(3). 264–288. 11 indexed citations
11.
Luyten, Hans & Inge de Wolf. (2011). Changes in student populations and average test scores of Dutch primary schools. School Effectiveness and School Improvement. 22(4). 439–460. 5 indexed citations
12.
Luyten, Hans, Peter Tymms, & Paul Jones. (2009). Assessing school effects without controlling for prior achievement?. School Effectiveness and School Improvement. 20(2). 145–165. 21 indexed citations
13.
Sammons, Pam & Hans Luyten. (2009). Editorial article for special issue on alternative methods for assessing school effects and schooling effects. School Effectiveness and School Improvement. 20(2). 133–143. 21 indexed citations
14.
Schildkamp, Kim, Adrie J. Visscher, & Hans Luyten. (2009). The effects of the use of a school self-evaluation instrument. School Effectiveness and School Improvement. 20(1). 69–88. 52 indexed citations
15.
Luyten, Hans, et al.. (2009). Cognitive development in Dutch primary education, the impact of individual background and classroom composition. Educational Research and Evaluation. 15(3). 265–283. 18 indexed citations
16.
Meelissen, Martina R.M. & Hans Luyten. (2008). The Dutch gender gap in mathematics: Small for achievement, substantial for beliefs and attitudes. Studies In Educational Evaluation. 34(2). 82–93. 49 indexed citations
17.
Luyten, Hans, Jules Peschar, & Robert Coe. (2008). Effects of Schooling on Reading Performance, Reading Engagement, and Reading Activities of 15-Year-Olds in England. American Educational Research Journal. 45(2). 319–342. 42 indexed citations
18.
Luyten, Hans. (2006). An empirical assessment of the absolute effect of schooling: regression‐discontinuity applied to TIMSS‐95. Oxford Review of Education. 32(3). 397–429. 62 indexed citations
19.
Luyten, Hans. (2004). Succes in het voortgezet onderwijs: capaciteiten, inzet of achtergrond?. SHILAP Revista de lepidopterología. 81(2). 151–166. 6 indexed citations
20.
Luyten, Hans. (1994). Stability of school effects in dutch secondary education: The impact of variance across subjects and years. International Journal of Educational Research. 21(2). 197–216. 37 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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