Daniel Light

878 total citations
39 papers, 514 citations indexed

About

Daniel Light is a scholar working on Education, Information Systems and Information Systems and Management. According to data from OpenAlex, Daniel Light has authored 39 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Education, 10 papers in Information Systems and 8 papers in Information Systems and Management. Recurrent topics in Daniel Light's work include Educational Assessment and Improvement (8 papers), Online and Blended Learning (7 papers) and Education and Technology Integration (6 papers). Daniel Light is often cited by papers focused on Educational Assessment and Improvement (8 papers), Online and Blended Learning (7 papers) and Education and Technology Integration (6 papers). Daniel Light collaborates with scholars based in United States, Japan and Canada. Daniel Light's co-authors include Margaret Honey, Andrew A. Zucker, Andreas Breiter, Ellen B. Mandinach, Katherine McMillan Culp, Tomoe Kanaya, Elizabeth E. Pierson, Cornelia Brunner, Elizabeth A. Pierson and Patricia B. Campbell and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and Journal of the Association for Information Systems.

In The Last Decade

Daniel Light

34 papers receiving 402 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Light United States 12 275 173 111 65 58 39 514
Anass Bayaga South Africa 11 285 1.0× 90 0.5× 148 1.3× 59 0.9× 49 0.8× 76 503
Jeffrey M. Kenton United States 12 298 1.1× 68 0.4× 202 1.8× 64 1.0× 36 0.6× 25 515
Eugenia M. W. Ng Hong Kong 11 335 1.2× 160 0.9× 152 1.4× 113 1.7× 92 1.6× 22 595
Refika Koseler Türkiye 4 352 1.3× 208 1.2× 114 1.0× 57 0.9× 182 3.1× 6 542
Iwona Miliszewska Australia 14 269 1.0× 69 0.4× 107 1.0× 79 1.2× 150 2.6× 35 526
Kumar Laxman New Zealand 9 192 0.7× 100 0.6× 96 0.9× 57 0.9× 46 0.8× 41 404
Mas Nida Md. Khambari Malaysia 11 191 0.7× 77 0.4× 107 1.0× 62 1.0× 108 1.9× 48 410
Birgül Kutlu Türkiye 8 100 0.4× 124 0.7× 66 0.6× 62 1.0× 60 1.0× 21 356
Jintavee Khlaisang Thailand 15 345 1.3× 88 0.5× 197 1.8× 57 0.9× 105 1.8× 50 597
Gurmak Singh United Kingdom 8 246 0.9× 49 0.3× 82 0.7× 55 0.8× 72 1.2× 11 383

Countries citing papers authored by Daniel Light

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Light

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Light

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Light. A scholar is included among the top collaborators of Daniel Light 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 Daniel Light. Daniel Light 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.
Toro, Juan Del, et al.. (2023). The Important Role Social Capital Plays in Navigating the Computing Education Ecosystem for Black Girls. ACM Transactions on Computing Education. 24(2). 1–17. 1 indexed citations
2.
Inoue, Noriyuki & Daniel Light. (2022). Guiding educational innovation to promote children's non-cognitive abilities to succeed: implementation of the Sesame Street curriculum in Japan. International Journal for Lesson and Learning Studies. 11(4). 245–259.
3.
Light, Daniel, et al.. (2018). Science Engagement via Twitter: Examining the Educational Outreach of Museums, Zoos, Aquariums and Other Science Organizations. Visitor Studies. 21(2). 175–188. 3 indexed citations
4.
Light, Daniel & Elizabeth E. Pierson. (2014). Increasing Student Engagement in Math: The Use of Khan Academy in Chilean Classrooms. The International Journal of Education and Development using Information and Communication Technology (The University of the West Indies). 10(2). 103–119. 24 indexed citations
5.
Light, Daniel & Elizabeth A. Pierson. (2013). The Impact of School Technology Infrastructure on Teachers' Technology Integration: A Survey in Thirteen Countries. 5(4). 29–40. 4 indexed citations
6.
Light, Daniel. (2012). Principals for Web 2.0 Success: 10 Ways to Build Vibrant Learning Communities with the Read/Write Web.. Learning and leading with technology. 39(8). 18–20. 2 indexed citations
7.
Light, Daniel & Elizabeth A. Pierson. (2012). Highlighting Changes in Two Russian Schools with Successful One-to-One Laptop Programs: Moscow and Nizhny Novgorod Case Studies.. SHILAP Revista de lepidopterología. 1 indexed citations
8.
Light, Daniel. (2011). Do Web 2.0 Right.. Learning and leading with technology. 38(5). 10. 11 indexed citations
9.
Light, Daniel. (2011). Building a classroom learning community: three instructional design principles for a Web 2.0 world. Global Learn. 2011(1). 333–340. 1 indexed citations
10.
Pierson, Elizabeth A., et al.. (2011). Using Classroom Assessment to Promote 21st Century Learning in Emerging Market Countries. Global Learn. 2011(1). 419–429. 13 indexed citations
11.
Light, Daniel. (2010). ð Multiple factors supporting the transition to ICT-rich learning environments in India, Turkey, and Chile. International journal of education and development using information and communication technology. 6(4). 39–51. 2 indexed citations
12.
Light, Daniel, et al.. (2010). Integrating Web 2.0 Tools into the Classroom: Changing the Culture of Learning.. 19 indexed citations
13.
Light, Daniel. (2009). The Role of ICT in Enhancing Education in Developing Countries: Findings from an Evaluation of The Intel Teach Essentials Course in India, Turkey, and Chile. 26 indexed citations
14.
Breiter, Andreas & Daniel Light. (2006). Data for School Improvement: Factors for Designing Effective Information Systems to Support Decision-Making in Schools. Educational Technology & Society. 9(3). 206–217. 55 indexed citations
15.
Mandinach, Ellen B., Margaret Honey, & Daniel Light. (2006). A Theoretical Framework for Data-Driven Decision Making. 68 indexed citations
16.
Brunner, Cornelia, et al.. (2005). Linking Data and Learning: The Grow Network Study. Journal of Education for Students Placed at Risk (JESPAR). 10(3). 241–267. 81 indexed citations
17.
Culp, Katherine McMillan, et al.. (2004). Intel Teach to the Future Preservice Program: Findings from a formative evaluation. Society for Information Technology & Teacher Education International Conference. 2004(1). 988–991. 2 indexed citations
18.
Breiter, Andreas & Daniel Light. (2004). Decision Support Systems in Schools - from Data Collection to Decision Making. Journal of the Association for Information Systems. 248. 6 indexed citations
19.
Light, Daniel, et al.. (2003). Learning from the pioneers: A Study on the Best Practices of the network TELAR. Digital Education Review. 17–39. 1 indexed citations
20.
Honey, Margaret, et al.. (1998). The Union City Story: Education Reform and Technology Students' Performance on Standardized Tests.. 11 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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