Deepika Nambiar
About
In The Last Decade
Deepika Nambiar
4 papers receiving 258 citations
Hit Papers
Peers
Comparison fields: 5 of 57
- Education 200
- Clinical Psychology 84
- Information Systems 81
- Sociology and Political Science 26
- Computer Science Applications 26
Countries citing papers authored by Deepika Nambiar
This map shows the geographic impact of Deepika Nambiar'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 Deepika Nambiar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepika Nambiar more than expected).
Fields of papers citing papers by Deepika Nambiar
This network shows the impact of papers produced by Deepika Nambiar. 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 Deepika Nambiar. The network helps show where Deepika Nambiar may publish in the future.
Co-authorship network of co-authors of Deepika Nambiar
This figure shows the co-authorship network connecting the top 25 collaborators of Deepika Nambiar. A scholar is included among the top collaborators of Deepika Nambiar 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 Deepika Nambiar. Deepika Nambiar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | The impact of online learning during COVID-19: students’ and teachers’ perspective breakdown → | 288 |
| 3 | 1 | |
| 4 | 3 |
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.