Apurba Maiti
About
In The Last Decade
Apurba Maiti
6 papers receiving 363 citations
Peers
Comparison fields: 5 of 22
- Electronic, Optical and Magnetic Materials 296
- Electrical and Electronic Engineering 248
- Polymers and Plastics 132
- Materials Chemistry 72
- Biomedical Engineering 61
Countries citing papers authored by Apurba Maiti
This map shows the geographic impact of Apurba Maiti'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 Apurba Maiti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Apurba Maiti more than expected).
Fields of papers citing papers by Apurba Maiti
This network shows the impact of papers produced by Apurba Maiti. 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 Apurba Maiti. The network helps show where Apurba Maiti may publish in the future.
Co-authorship network of co-authors of Apurba Maiti
This figure shows the co-authorship network connecting the top 25 collaborators of Apurba Maiti. A scholar is included among the top collaborators of Apurba Maiti 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 Apurba Maiti. Apurba Maiti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 9 | |
| 3 | 2 | |
| 4 | 26 | |
| 5 | 74 | |
| 6 | 250 |
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.