P. M. Ameer
- Neurology top 0.5%
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Electrical and Electronic Engineering
- Co-authors
- S. DeepakLillykutty JacobK. A. Abdul NazeerAnurag KumarChandramani SinghD. ManjunathR. David KoilpillaiTapas Roy
- Topics
- Underwater Vehicles and Communication Systems (11 papers)Indoor and Outdoor Localization Technologies (9 papers)Brain Tumor Detection and Classification (7 papers)
- Partner nations
- IndiaUnited StatesNorway
In The Last Decade
P. M. Ameer
33 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Neurology 899
- Computer Vision and Pattern Recognition 831
- Artificial Intelligence 630
- Radiology, Nuclear Medicine and Imaging 356
- Electrical and Electronic Engineering 135
Countries citing papers authored by P. M. Ameer
This map shows the geographic impact of P. M. Ameer'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 P. M. Ameer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. M. Ameer more than expected).
Fields of papers citing papers by P. M. Ameer
This network shows the impact of papers produced by P. M. Ameer. 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 P. M. Ameer. The network helps show where P. M. Ameer may publish in the future.
Co-authorship network of co-authors of P. M. Ameer
This figure shows the co-authorship network connecting the top 25 collaborators of P. M. Ameer. A scholar is included among the top collaborators of P. M. Ameer 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 P. M. Ameer. P. M. Ameer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 13 | |
| 5 | 3 | |
| 6 | 40 | |
| 7 | 50 | |
| 8 | 1 | |
| 9 | 178 | |
| 10 | Brain tumor classification using deep CNN features via transfer learningbreakdown → | 859 |
| 11 | 20 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 7 | |
| 15 | 2 | |
| 16 | 79 | |
| 17 | 8 | |
| 18 | 23 | |
| 19 | 67 | |
| 20 | 7 |
About P. M. Ameer
P. M. Ameer is a scholar working on Neurology, Ocean Engineering and Computer Vision and Pattern Recognition, having authored 35 papers that have together received 1.6k indexed citations. Recurring topics across this work include Underwater Vehicles and Communication Systems (11 papers), Indoor and Outdoor Localization Technologies (9 papers) and Brain Tumor Detection and Classification (7 papers). The work is most often cited by research in Neurology (899 citations), Computer Vision and Pattern Recognition (831 citations) and Artificial Intelligence (630 citations). P. M. Ameer has collaborated with scholars based in India, United States and Norway. Frequent co-authors include S. Deepak, Lillykutty Jacob, K. A. Abdul Nazeer, Anurag Kumar, Chandramani Singh, D. Manjunath, R. David Koilpillai, Tapas Roy, Mohamed Abbas and Amal BaQais. Their work appears in journals such as Neurocomputing, IEEE Internet of Things Journal and Electronics Letters.
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.