Arfan Ghani
- Electrical and Electronic Engineering
- Cognitive Neuroscience top 10%
- Cellular and Molecular Neuroscience
- Artificial Intelligence
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Liam MaguireJim HarkinT.M. McGinnityAmmar BelatrecheBrendan GlackinChan Hwang SeeErping ZhouRaed A. Abd‐Alhameed
- Topics
- Advanced Memory and Neural Computing (12 papers)Neural dynamics and brain function (9 papers)Neuroscience and Neural Engineering (6 papers)
- Cited by
- Cognitive NeuroscienceCellular and Molecular NeuroscienceElectrical and Electronic Engineering
- Journals
- SHILAP Revista de lepidopterologíaSensorsNeurocomputing
- Partner nations
- United KingdomUnited Arab EmiratesPakistan
In The Last Decade
Arfan Ghani
30 papers receiving 305 citations
Peers
Comparison fields: 5 of 69
- Electrical and Electronic Engineering 226
- Cognitive Neuroscience 117
- Cellular and Molecular Neuroscience 82
- Artificial Intelligence 82
- Radiology, Nuclear Medicine and Imaging 25
Countries citing papers authored by Arfan Ghani
This map shows the geographic impact of Arfan Ghani'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 Arfan Ghani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arfan Ghani more than expected).
Fields of papers citing papers by Arfan Ghani
This network shows the impact of papers produced by Arfan Ghani. 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 Arfan Ghani. The network helps show where Arfan Ghani may publish in the future.
Co-authorship network of co-authors of Arfan Ghani
This figure shows the co-authorship network connecting the top 25 collaborators of Arfan Ghani. A scholar is included among the top collaborators of Arfan Ghani 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 Arfan Ghani. Arfan Ghani 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 | 1 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 7 | |
| 8 | 4 | |
| 9 | 4 | |
| 10 | 4 | |
| 11 | 12 | |
| 12 | 2 | |
| 13 | 3 | |
| 14 | 6 | |
| 15 | 21 | |
| 16 | 4 | |
| 17 | 7 | |
| 18 | 3 | |
| 19 | 2 | |
| 20 | 134 |
About Arfan Ghani
Arfan Ghani is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience, having authored 34 papers that have together received 312 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (12 papers), Neural dynamics and brain function (9 papers) and Neuroscience and Neural Engineering (6 papers). The work is most often cited by research in Cognitive Neuroscience (117 citations), Cellular and Molecular Neuroscience (82 citations) and Electrical and Electronic Engineering (226 citations). Arfan Ghani has collaborated with scholars based in United Kingdom, United Arab Emirates and Pakistan. Frequent co-authors include Liam Maguire, Jim Harkin, T.M. McGinnity, Ammar Belatreche, Brendan Glackin, Chan Hwang See, Erping Zhou, Raed A. Abd‐Alhameed, Syed M. Usman Ali and Muhammad Khurram. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and Neurocomputing.
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.