Amir Gholaminejad
About
In The Last Decade
Amir Gholaminejad
6 papers receiving 351 citations
Peers
Comparison fields: 5 of 74
- Computer Vision and Pattern Recognition 225
- Artificial Intelligence 126
- Electrical and Electronic Engineering 41
- Signal Processing 33
- Experimental and Cognitive Psychology 32
Countries citing papers authored by Amir Gholaminejad
This map shows the geographic impact of Amir Gholaminejad'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 Amir Gholaminejad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amir Gholaminejad more than expected).
Fields of papers citing papers by Amir Gholaminejad
This network shows the impact of papers produced by Amir Gholaminejad. 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 Amir Gholaminejad. The network helps show where Amir Gholaminejad may publish in the future.
Co-authorship network of co-authors of Amir Gholaminejad
This figure shows the co-authorship network connecting the top 25 collaborators of Amir Gholaminejad. A scholar is included among the top collaborators of Amir Gholaminejad 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 Amir Gholaminejad. Amir Gholaminejad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | HAWQ-V3: Dyadic Neural Network Quantization | 30 |
| 3 | 52 | |
| 4 | 40 | |
| 5 | 219 | |
| 6 | 16 |
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.