Natalia Derbentseva
- Education top 10%
- Developmental and Educational Psychology top 10%
- Artificial Intelligence
- Sociology and Political Science
- Information Systems
- Co-authors
- Frank SafayeniAlberto J. CañasPeter J. KwantesBing RanP. Robert DuimeringQuan LamOshin VartanianHarvey H. C. Marmurek
- Topics
- Science Education and Pedagogy (3 papers)Visual and Cognitive Learning Processes (2 papers)Misinformation and Its Impacts (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaCommunications of the ACMPersonality and Individual Differences
- Partner nations
- CanadaUnited States
In The Last Decade
Natalia Derbentseva
11 papers receiving 250 citations
Peers
Comparison fields: 5 of 76
- Education 123
- Developmental and Educational Psychology 75
- Artificial Intelligence 73
- Sociology and Political Science 45
- Information Systems 39
Countries citing papers authored by Natalia Derbentseva
This map shows the geographic impact of Natalia Derbentseva'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 Natalia Derbentseva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalia Derbentseva more than expected).
Fields of papers citing papers by Natalia Derbentseva
This network shows the impact of papers produced by Natalia Derbentseva. 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 Natalia Derbentseva. The network helps show where Natalia Derbentseva may publish in the future.
Co-authorship network of co-authors of Natalia Derbentseva
This figure shows the co-authorship network connecting the top 25 collaborators of Natalia Derbentseva. A scholar is included among the top collaborators of Natalia Derbentseva 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 Natalia Derbentseva. Natalia Derbentseva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 33 | |
| 2 | Quantifying Salient Concepts Discussed in Social Media Content: An Analysis of Tweets Posted by ISIS Fangirls | 5 |
| 3 | 15 | |
| 4 | CAPABILITY CHALLENGES IN THE HUMAN DOMAIN FOR INTELLIGENCE ANALYSIS: REPORT ON COMMUNITY-WIDE DISCUSSIONS WITH CANADIAN INTELLIGENCE PROFESSIONALS | 3 |
| 5 | Issues in Intelligence Production: Summary of Interviews with Canadian Managers of Intelligence Analysts | 4 |
| 6 | Insight in Problem Solving | 5 |
| 7 | 17 | |
| 8 | 77 | |
| 9 | 19 | |
| 10 | 97 | |
| 11 | Experiments on the effect of map structure and concept quantification during concept map construction | 25 |
About Natalia Derbentseva
Natalia Derbentseva is a scholar working on Experimental and Cognitive Psychology, Strategy and Management and Computer Science Applications, having authored 11 papers that have together received 300 indexed citations. Recurring topics across this work include Science Education and Pedagogy (3 papers), Visual and Cognitive Learning Processes (2 papers) and Misinformation and Its Impacts (2 papers). The work is most often cited by research in Developmental and Educational Psychology (75 citations), Education (123 citations) and Computer Science Applications (16 citations). Natalia Derbentseva has collaborated with scholars based in Canada and United States. Frequent co-authors include Frank Safayeni, Alberto J. Cañas, Peter J. Kwantes, Bing Ran, P. Robert Duimering, Quan Lam, Oshin Vartanian, Harvey H. C. Marmurek, Laura Huey and David R. Mandel. Their work appears in journals such as SHILAP Revista de lepidopterología, Communications of the ACM and Personality and Individual Differences.
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.