Neena Thota

549 citations
37 papers · 318 indexed · h-index 10

Neena Thota

34 papers receiving 300 citations

Peers

Neena Thota
Comparison fields: 5 of 48
  • Computer Science Applications 222
  • Developmental and Educational Psychology 115
  • Education 102
  • Information Systems 59
  • Media Technology 44
Replace Tatjana Jevsikova with:
Tatjana Jevsikova Lithuania
Dianne P. Chambers Australia
Eno Tõnisson Estonia
Phil Sands United States
Aletta Nylén Sweden
Cameron Wilson United States
Eva Norén Sweden
Deborah LaBelle United States
Woonhee Sung United States
Hilary A. Dwyer United States
Neena Thota relative to Tatjana Jevsikova Lithuania Tatjana Jevsikova's profile →
Citations per field
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Tatjana Jevsikova · 1×
Citations per year

Countries citing papers authored by Neena Thota

Since Specialization
Citations

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

Fields of papers citing papers by Neena Thota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neena Thota

This figure shows the co-authorship network connecting the top 25 collaborators of Neena Thota. A scholar is included among the top collaborators of Neena Thota 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 Neena Thota. Neena Thota 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 0
2 0
3 7
4 2
5 13
6 2
7 18
8 8
9
14th Koli Calling International Conference on Computing Education Research, Koli, 21. - 23.11.2015
1
10 3
11 9
12 3
13
Learning of computer science in an intercultural environment : An empirical study of Chinese master students in Sweden
2
14 0
15 28
16
Computer science at school/CS teacher education
2
17
At the crossroad of computer science and intercultural interactions : A framework for analysis and interpretation
2
18 2
19 40
20
Use of CALMS to enrich learning in introductory programming courses
5

About Neena Thota

Neena Thota is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Human Factors and Ergonomics, having authored 37 papers that have together received 318 indexed citations. Recurring topics across this work include Teaching and Learning Programming (16 papers), Online Learning and Analytics (14 papers) and Innovative Teaching and Learning Methods (12 papers). The work is most often cited by research in Computer Science Applications (222 citations), Developmental and Educational Psychology (115 citations) and Media Technology (44 citations). Neena Thota has collaborated with scholars based in Sweden, United States and Australia. Frequent co-authors include Richard Whitfield, Anders Berglund, Matthew Butler, Anna Eckerdal, Michael J. Morgan, Jane Sinclair, Päivi Kinnunen, Vangel V. Ajanovski, Andrew Luxton-Reilly and Norma P. Simon. Their work appears in journals such as Journal of the Learning Sciences, ACM Transactions on Computing Education and Computer Science Education.

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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