Muhammad Amir Khan
- Molecular Biology
- Electrical and Electronic Engineering top 10%
- Computer Networks and Communications top 5%
- Developmental Neuroscience top 2%
- Artificial Intelligence top 10%
- Co-authors
- D. Chichung LieMuhammad Mateen YaqoobAmal Al‐RasheedHai‐Kun LiuTehseen MazharZhe ZhuArianna DellavalleMarisa Karow
- Topics
- Energy Efficient Wireless Sensor Networks (19 papers)Energy Harvesting in Wireless Networks (13 papers)Antenna Design and Analysis (9 papers)
- Partner nations
- PakistanSaudi ArabiaMalaysia
In The Last Decade
Muhammad Amir Khan
100 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 142
- Molecular Biology 564
- Electrical and Electronic Engineering 344
- Computer Networks and Communications 248
- Developmental Neuroscience 228
- Artificial Intelligence 194
Countries citing papers authored by Muhammad Amir Khan
This map shows the geographic impact of Muhammad Amir Khan'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 Muhammad Amir Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Amir Khan more than expected).
Fields of papers citing papers by Muhammad Amir Khan
This network shows the impact of papers produced by Muhammad Amir Khan. 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 Muhammad Amir Khan. The network helps show where Muhammad Amir Khan may publish in the future.
Co-authorship network of co-authors of Muhammad Amir Khan
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Amir Khan. A scholar is included among the top collaborators of Muhammad Amir Khan 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 Muhammad Amir Khan. Muhammad Amir Khan 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 | 7 | |
| 3 | 3 | |
| 4 | 24 | |
| 5 | 17 | |
| 6 | 17 | |
| 7 | 14 | |
| 8 | 41 | |
| 9 | 10 | |
| 10 | 11 | |
| 11 | 12 | |
| 12 | 2 | |
| 13 | 16 | |
| 14 | 31 | |
| 15 | 5 | |
| 16 | 19 | |
| 17 | 4 | |
| 18 | 35 | |
| 19 | FABRICATION OF ULTRA LOW VOLUME (ULV) PESTICIDE SPRAYER TEST BENCH | 4 |
| 20 | 19 |
About Muhammad Amir Khan
Muhammad Amir Khan is a scholar working on Computer Networks and Communications, Developmental Neuroscience and Health Information Management, having authored 104 papers that have together received 1.8k indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (19 papers), Energy Harvesting in Wireless Networks (13 papers) and Antenna Design and Analysis (9 papers). The work is most often cited by research in Developmental Neuroscience (228 citations), Health Informatics (20 citations) and Neurology (119 citations). Muhammad Amir Khan has collaborated with scholars based in Pakistan, Saudi Arabia and Malaysia. Frequent co-authors include D. Chichung Lie, Muhammad Mateen Yaqoob, Amal Al‐Rasheed, Hai‐Kun Liu, Tehseen Mazhar, Zhe Zhu, Arianna Dellavalle, Marisa Karow, Sergio Gascón and Christophe Heinrich. Their work appears in journals such as Journal of Biological Chemistry, Neuron and Journal of Neuroscience.
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.