Vicki L. Almstrum

2.6k citations
50 papers · 1.8k indexed · h-index 15
Topics
Teaching and Learning Programming (20 papers)Online Learning and Analytics (10 papers)Innovative Teaching and Learning Methods (10 papers)

In The Last Decade

Vicki L. Almstrum

47 papers receiving 1.6k citations

Peers

Vicki L. Almstrum
Comparison fields: 5 of 64
  • Computer Science Applications 1.5k
  • Developmental and Educational Psychology 664
  • Information Systems 443
  • Media Technology 387
  • Software 265
Replace Carol Zander with:
Carol Zander United States
Sue Fitzgerald United States
Ian Utting United Kingdom
Wanda Dann United States
Yifat Ben‐David Kolikant Israel
Ville Karavirta Finland
Renée McCauley United States
Susan H. Rodger United States
Jan Erik Moström Sweden
John Hamer New Zealand
Vicki L. Almstrum relative to Carol Zander United States Carol Zander's profile →
Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Vicki L. Almstrum

Since Specialization
Citations

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

Fields of papers citing papers by Vicki L. Almstrum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vicki L. Almstrum. 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 Vicki L. Almstrum. The network helps show where Vicki L. Almstrum may publish in the future.

Co-authorship network of co-authors of Vicki L. Almstrum

This figure shows the co-authorship network connecting the top 25 collaborators of Vicki L. Almstrum. A scholar is included among the top collaborators of Vicki L. Almstrum 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 Vicki L. Almstrum. Vicki L. Almstrum 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
#WorkIndexed citations
1 9
2 2
3 4
4 8
5 1
6 1
7 28
8 49
9 18
10
Computer Science Education Research as a Scientific Endeavor
1
11 10
12 4
13 13
14 2
15 16
16 2
17 13
18
The propositional logic test as a diagnostic tool for misconceptions about logical operations
7
19 12
20 2

About Vicki L. Almstrum

Vicki L. Almstrum is a scholar working on Computer Science Applications, Media Technology and Developmental and Educational Psychology, having authored 50 papers that have together received 1.8k indexed citations. Recurring topics across this work include Teaching and Learning Programming (20 papers), Online Learning and Analytics (10 papers) and Innovative Teaching and Learning Methods (10 papers). The work is most often cited by research in Computer Science Applications (1.5k citations), Software (265 citations) and Developmental and Educational Psychology (664 citations). Vicki L. Almstrum has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Mark Guzdial, Yifat Ben‐David Kolikant, Dianne Hagan, Cary Laxer, Ian Utting, Lynda Thomas, Tadeusz Wilusz, M. McCracken, Wanda Dann and Guido Rößling. Their work appears in journals such as Communications of the ACM, Information and Software Technology and Telemedicine Journal and e-Health.

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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