Markeya S. Peteranetz

521 total citations
28 papers, 372 citations indexed

About

Markeya S. Peteranetz is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Markeya S. Peteranetz has authored 28 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Science Applications, 16 papers in Developmental and Educational Psychology and 11 papers in Experimental and Cognitive Psychology. Recurrent topics in Markeya S. Peteranetz's work include Teaching and Learning Programming (12 papers), Innovative Teaching and Learning Methods (10 papers) and Online Learning and Analytics (8 papers). Markeya S. Peteranetz is often cited by papers focused on Teaching and Learning Programming (12 papers), Innovative Teaching and Learning Methods (10 papers) and Online Learning and Analytics (8 papers). Markeya S. Peteranetz collaborates with scholars based in United States, Jordan and Germany. Markeya S. Peteranetz's co-authors include Abraham E. Flanigan, Leen‐Kiat Soh, Duane F. Shell, Kenneth A. Kiewra, Anthony D. Albano, Shiyuan Wang, Sangjin Ryu, Haipeng Zhang, Lee Miller and Haipeng Zhang and has published in prestigious journals such as Contemporary Educational Psychology, Instructional Science and IEEE Transactions on Education.

In The Last Decade

Markeya S. Peteranetz

26 papers receiving 360 citations

Peers

Markeya S. Peteranetz
Comparison fields: 5 of 55
  • Computer Science Applications 190
  • Developmental and Educational Psychology 143
  • Experimental and Cognitive Psychology 125
  • Education 81
  • Social Psychology 50
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Citations per field, relative to Markeya S. Peteranetz
Markeya S. Peteranetz · 1×
Citations per year, relative to Markeya S. Peteranetz
Markeya S. Peteranetz · 1×

Countries citing papers authored by Markeya S. Peteranetz

Since Specialization
Citations

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

Fields of papers citing papers by Markeya S. Peteranetz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Markeya S. Peteranetz. 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 Markeya S. Peteranetz. The network helps show where Markeya S. Peteranetz may publish in the future.

Co-authorship network of co-authors of Markeya S. Peteranetz

This figure shows the co-authorship network connecting the top 25 collaborators of Markeya S. Peteranetz. A scholar is included among the top collaborators of Markeya S. Peteranetz 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 Markeya S. Peteranetz. Markeya S. Peteranetz 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
# Work Indexed citations
1 0
2 3
3 5
4 0
5 9
6 3
7 1
8 1
9 9
10
The Influence of Context on Metacognition and Its Measurement
2
11 18
12 18
13 54
14 14
15 4
16 31
17 48
18 12
19 21
20
Fostering Metacognition in the Middle School Classroom: An Exploration of Teachers' Practices
1

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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