Milan Parmar
About
In The Last Decade
Milan Parmar
15 papers receiving 478 citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Artificial Intelligence 183
- Computer Vision and Pattern Recognition 147
- Electrical and Electronic Engineering 55
- Statistical and Nonlinear Physics 54
- Management Science and Operations Research 40
Countries citing papers authored by Milan Parmar
This map shows the geographic impact of Milan Parmar'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 Milan Parmar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Milan Parmar more than expected).
Fields of papers citing papers by Milan Parmar
This network shows the impact of papers produced by Milan Parmar. 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 Milan Parmar. The network helps show where Milan Parmar may publish in the future.
Co-authorship network of co-authors of Milan Parmar
This figure shows the co-authorship network connecting the top 25 collaborators of Milan Parmar. A scholar is included among the top collaborators of Milan Parmar 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 Milan Parmar. Milan Parmar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | A review of convolutional neural networks in computer vision breakdown → | 273 |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 4 | |
| 7 | 49 | |
| 8 | 25 | |
| 9 | 8 | |
| 10 | 35 | |
| 11 | 56 | |
| 12 | 13 | |
| 13 | 12 | |
| 14 | 2 | |
| 15 | 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.