Sarah Howard

3.5k total citations · 2 hit papers
68 papers, 2.0k citations indexed

About

Sarah Howard is a scholar working on Education, Information Systems and Computer Science Applications. According to data from OpenAlex, Sarah Howard has authored 68 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Education, 20 papers in Information Systems and 14 papers in Computer Science Applications. Recurrent topics in Sarah Howard's work include Online and Blended Learning (22 papers), Online Learning and Analytics (12 papers) and Digital literacy in education (10 papers). Sarah Howard is often cited by papers focused on Online and Blended Learning (22 papers), Online Learning and Analytics (12 papers) and Digital literacy in education (10 papers). Sarah Howard collaborates with scholars based in Australia, Belgium and Norway. Sarah Howard's co-authors include Jo Tondeur, Ronny Scherer, Fazilat Siddiq, Lina Markauskaitė, Jie Yang, Louise Sutherland, Jun Ma, Karl Maton, Amy Chan and Peter Caputi and has published in prestigious journals such as Computers in Human Behavior, Computers & Education and Teaching and Teacher Education.

In The Last Decade

Sarah Howard

63 papers receiving 1.9k citations

Hit Papers

Profiling teachers' readiness for online teaching and lea... 2020 2026 2022 2024 2020 2022 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarah Howard Australia 21 1.3k 703 396 237 191 68 2.0k
Harrison Hao Yang China 24 1.0k 0.8× 466 0.7× 276 0.7× 259 1.1× 241 1.3× 118 1.6k
José María Fernández‐Batanero Spain 22 837 0.7× 739 1.1× 414 1.0× 188 0.8× 157 0.8× 137 2.1k
Hüseyin Uzunboylu Cyprus 22 1.4k 1.1× 975 1.4× 299 0.8× 348 1.5× 333 1.7× 170 2.3k
Jared Keengwe United States 23 1.6k 1.3× 743 1.1× 231 0.6× 267 1.1× 342 1.8× 81 2.3k
Lina Markauskaitė Australia 21 1.1k 0.9× 406 0.6× 334 0.8× 210 0.9× 444 2.3× 104 1.9k
Teemu Valtonen Finland 26 1.4k 1.1× 830 1.2× 609 1.5× 311 1.3× 493 2.6× 70 2.5k
Dominik Petko Switzerland 19 1.3k 1.0× 752 1.1× 263 0.7× 316 1.3× 420 2.2× 98 1.9k
Leanna Archambault United States 22 1.9k 1.5× 646 0.9× 324 0.8× 320 1.4× 439 2.3× 92 2.4k
Fethi A. Inan United States 18 1.4k 1.2× 615 0.9× 241 0.6× 260 1.1× 335 1.8× 46 2.0k
Nancy Law Hong Kong 23 1.2k 1.0× 560 0.8× 327 0.8× 276 1.2× 577 3.0× 123 2.1k

Countries citing papers authored by Sarah Howard

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Howard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Howard

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Howard. A scholar is included among the top collaborators of Sarah Howard 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 Sarah Howard. Sarah Howard 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.
Howard, Sarah, et al.. (2026). Teacher education for artificial intelligence literacy through a self-determination theory perspective. European Journal of Teacher Education. 1–21.
2.
Tondeur, Jo, et al.. (2025). Preparing preservice teachers to teach with digital technologies: An update of effective SQD-strategies. Computers & Education. 232. 105262–105262. 5 indexed citations
3.
Howard, Sarah, et al.. (2025). The GenAI divide among university students: A call for action. The Internet and Higher Education. 67. 101036–101036. 3 indexed citations
4.
Tondeur, Jo, Sarah Howard, Ana Amélia Amorim Carvalho, et al.. (2024). The DTALE Model: Designing Digital and Physical Spaces for Integrated Learning Environments. Technology Knowledge and Learning. 29(4). 1767–1789. 3 indexed citations
6.
Tondeur, Jo, et al.. (2024). Digital storytelling as a strategy for developing 21st-century skills: a systematic review of qualitative evidence. Technology Pedagogy and Education. 33(5). 573–593. 1 indexed citations
7.
Howard, Sarah & Jo Tondeur. (2023). Higher education teachers' digital competencies for a blended future. Educational Technology Research and Development. 71(1). 1–6. 19 indexed citations
8.
Tondeur, Jo, et al.. (2023). The HeDiCom framework: Higher Education teachers’ digital competencies for the future. Educational Technology Research and Development. 71(1). 33–53. 28 indexed citations
9.
Howard, Sarah, et al.. (2022). Educational data journeys: Where are we going, what are we taking and making for AI?. Computers and Education Artificial Intelligence. 3. 100073–100073. 19 indexed citations
10.
Howard, Sarah, et al.. (2022). Valuable data? Using walkthrough methods to understand the impact of digital reading platforms in Australian primary schools. Learning Media and Technology. 48(2). 294–309. 15 indexed citations
11.
Scherer, Ronny, Fazilat Siddiq, Sarah Howard, & Jo Tondeur. (2022). The more experienced, the better prepared? New evidence on the relation between teachers’ experience and their readiness for online teaching and learning. Computers in Human Behavior. 139. 107530–107530. 30 indexed citations
12.
Markauskaitė, Lina, Rebecca Marrone, Oleksandra Poquet, et al.. (2022). Rethinking the entwinement between artificial intelligence and human learning: What capabilities do learners need for a world with AI?. Computers and Education Artificial Intelligence. 3. 100056–100056. 167 indexed citations breakdown →
13.
Howard, Sarah, Lynne Schrum, Joke Voogt, & Henk Sligte. (2021). Designing research to inform sustainability and scalability of digital technology innovations. Educational Technology Research and Development. 69(4). 2309–2329. 23 indexed citations
14.
Howard, Sarah, Jo Tondeur, Jun Ma, & Jie Yang. (2019). Seeing the wood for the trees: Insights into the complexity of developing pre-service teachers’ digital competencies for future teaching. ASCILITE Publications. 441–446. 6 indexed citations
16.
Howard, Sarah, Jie Yang, Jun Ma, Karl Maton, & Ellie Rennie. (2018). App clusters: Exploring patterns of multiple app use in primary learning contexts. Computers & Education. 127. 154–164. 13 indexed citations
17.
Howard, Sarah, et al.. (2017). Capturing and visualizing:Classroom analytics for physical and digital collaborative learning processes. QUT ePrints (Queensland University of Technology). 3 indexed citations
18.
Lamb, Janeen, et al.. (2014). Pre-service teachers' use of library databases: Some insights. Research Bank (Australian Catholic University). 365. 2 indexed citations
19.
Howard, Sarah, et al.. (2012). Teachers’ Beliefs about First- and Second-Order Barriers to ICT Integration: Preliminary Findings from a South African Study. Research Online (University of Wollongong). 2012(1). 2098–2105. 17 indexed citations
20.
Howard, Sarah & Karl Maton. (2011). Theorising knowledge practices: a missing piece of the educational technology puzzle. Research in Learning Technology. 19(3). 191–206. 20 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026