Nisar Ahmed
- Atomic and Molecular Physics, and Optics top 5%
- Electrical and Electronic Engineering top 5%
- Artificial Intelligence top 5%
- Biomedical Engineering top 10%
- Aerospace Engineering top 5%
- Co-authors
- Mark CampbellAlan E. WillnerMoshe TurYongxiong RenHao HuangGuodong XieYan YanChangjing Bao
- Topics
- Target Tracking and Data Fusion in Sensor Networks (39 papers)Distributed Sensor Networks and Detection Algorithms (28 papers)Orbital Angular Momentum in Optics (25 papers)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Nisar Ahmed
122 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 100
- Atomic and Molecular Physics, and Optics 861
- Electrical and Electronic Engineering 845
- Artificial Intelligence 399
- Biomedical Engineering 339
- Aerospace Engineering 220
Countries citing papers authored by Nisar Ahmed
This map shows the geographic impact of Nisar Ahmed'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 Nisar Ahmed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nisar Ahmed more than expected).
Fields of papers citing papers by Nisar Ahmed
This network shows the impact of papers produced by Nisar Ahmed. 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 Nisar Ahmed. The network helps show where Nisar Ahmed may publish in the future.
Co-authorship network of co-authors of Nisar Ahmed
This figure shows the co-authorship network connecting the top 25 collaborators of Nisar Ahmed. A scholar is included among the top collaborators of Nisar Ahmed 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 Nisar Ahmed. Nisar Ahmed 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 | 0 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 6 | |
| 11 | 6 | |
| 12 | 3 | |
| 13 | 9 | |
| 14 | 10 | |
| 15 | 6 | |
| 16 | Factorized covariance intersection for scalable partial state decentralized data fusion | 8 |
| 17 | 39 | |
| 18 | Enabling Robust Human-Robot Cooperation through Flexible Fully Bayesian Shared Sensing | 2 |
| 19 | A Look at Probabilistic Gaussian Process, Bayes Net, and Classifier Models for Prediction and Verification of Human Supervisory Performance | 1 |
| 20 | 17 |
About Nisar Ahmed
Nisar Ahmed is a scholar working on Artificial Intelligence, Computer Networks and Communications and Hardware and Architecture, having authored 133 papers that have together received 1.8k indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (39 papers), Distributed Sensor Networks and Detection Algorithms (28 papers) and Orbital Angular Momentum in Optics (25 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (861 citations), Hardware and Architecture (142 citations) and Acoustics and Ultrasonics (15 citations). Nisar Ahmed has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Mark Campbell, Alan E. Willner, Moshe Tur, Yongxiong Ren, Hao Huang, Guodong Xie, Yan Yan, Changjing Bao, Long Li and S. Dolinar. Their work appears in journals such as Proceedings of the IEEE, Scientific Reports and IEEE Transactions on Signal Processing.
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.