Phil Sands

625 total citations
8 papers, 314 citations indexed

About

Phil Sands is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Education. According to data from OpenAlex, Phil Sands has authored 8 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Science Applications, 5 papers in Developmental and Educational Psychology and 3 papers in Education. Recurrent topics in Phil Sands's work include Teaching and Learning Programming (6 papers), Online Learning and Analytics (4 papers) and Educational Games and Gamification (3 papers). Phil Sands is often cited by papers focused on Teaching and Learning Programming (6 papers), Online Learning and Analytics (4 papers) and Educational Games and Gamification (3 papers). Phil Sands collaborates with scholars based in United States, Germany and Netherlands. Phil Sands's co-authors include Aman Yadav, Sarah Gretter, Susanne E. Hambrusch, Jon Good, Alex Lishinski, Marc Berges, Emily C. Bouck, Joke Voogt, Anne Ottenbreit‐Leftwich and Birgit Eickelmann and has published in prestigious journals such as Teacher Education and Special Education The Journal of the Teacher Education Division of the Council for Exceptional Children, ACM Transactions on Computing Education and Computer Science Education.

In The Last Decade

Phil Sands

8 papers receiving 303 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Phil Sands United States	7	258	121	97	96	41	8	314
Miranda C. Parker United States	10	284 1.1×	104 0.9×	68 0.7×	74 0.8×	64 1.6×	38	362
Cameron Wilson United States	8	244 0.9×	98 0.8×	63 0.6×	55 0.6×	43 1.0×	14	278
İbrahim Çetin Türkiye	11	245 0.9×	141 1.2×	53 0.5×	100 1.0×	67 1.6×	21	338
Gail Chapman United States	9	362 1.4×	106 0.9×	187 1.9×	156 1.6×	48 1.2×	25	439
Marc Berges Germany	12	328 1.3×	136 1.1×	60 0.6×	89 0.9×	102 2.5×	33	412
Dianne P. Chambers Australia	4	148 0.6×	93 0.8×	44 0.5×	96 1.0×	43 1.0×	9	245
Nicholas Reynolds Australia	5	158 0.6×	76 0.6×	41 0.4×	63 0.7×	50 1.2×	11	249
Merijke Coenraad United States	10	165 0.6×	81 0.7×	37 0.4×	75 0.8×	52 1.3×	40	251
Deborah LaBelle United States	4	282 1.1×	148 1.2×	52 0.5×	76 0.8×	71 1.7×	5	349
Leigh Ann DeLyser United States	8	174 0.7×	41 0.3×	60 0.6×	68 0.7×	52 1.3×	45	222

Countries citing papers authored by Phil Sands

Since Specialization

Citations

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

Fields of papers citing papers by Phil Sands

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phil Sands

This figure shows the co-authorship network connecting the top 25 collaborators of Phil Sands. A scholar is included among the top collaborators of Phil Sands 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 Phil Sands. Phil Sands is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Bouck, Emily C., et al.. (2021). Preparing Special Education Preservice Teachers to Teach Computational Thinking and Computer Science in Mathematics. Teacher Education and Special Education The Journal of the Teacher Education Division of the Council for Exceptional Children. 44(3). 221–238. 17 indexed citations

2.

Yadav, Aman, Alex Lishinski, & Phil Sands. (2021). Self-efficacy Profiles for Computer Science Teachers. 302–308. 7 indexed citations

3.

Sands, Phil & Aman Yadav. (2020). Self-Regulation for High School Learners in a MOOC Computer Science Course. 845–851. 13 indexed citations

4.

Gretter, Sarah, Aman Yadav, Phil Sands, & Susanne E. Hambrusch. (2019). Equitable Learning Environments in K-12 Computing. ACM Transactions on Computing Education. 19(3). 1–16. 35 indexed citations

5.

Voogt, Joke, Birgit Eickelmann, Aman Yadav, et al.. (2018). Learning and Teaching Computational Thinking – Challenges for Teacher Education. PUB – Publications at Bielefeld University (Bielefeld University). 57–60. 3 indexed citations

6.

Yadav, Aman, Marc Berges, Phil Sands, & Jon Good. (2016). Measuring computer science pedagogical content knowledge. 92–95. 25 indexed citations

7.

Lishinski, Alex, Jon Good, Phil Sands, & Aman Yadav. (2016). Methodological Rigor and Theoretical Foundations of CS Education Research. 161–169. 29 indexed citations

8.

Yadav, Aman, Sarah Gretter, Susanne E. Hambrusch, & Phil Sands. (2016). Expanding computer science education in schools: understanding teacher experiences and challenges. Computer Science Education. 26(4). 235–254. 185 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