Asif Khan
- Computer Vision and Pattern Recognition top 2%
- Computer Networks and Communications top 5%
- Aerospace Engineering top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Co-authors
- Bernhard RinnerEvşen YanmazAndrea CavallaroHermann HellwagnerSamira HayatVladimir VukadinovićChristian BettstetterJürgen Scherer
- Topics
- Stock Market Forecasting Methods (8 papers)Blind Source Separation Techniques (6 papers)Face and Expression Recognition (6 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Networks and CommunicationsAerospace Engineering
In The Last Decade
Asif Khan
44 papers receiving 813 citations
Peers
Comparison fields: 5 of 95
- Computer Vision and Pattern Recognition 397
- Computer Networks and Communications 358
- Aerospace Engineering 354
- Artificial Intelligence 147
- Electrical and Electronic Engineering 76
Countries citing papers authored by Asif Khan
This map shows the geographic impact of Asif 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 Asif Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Asif Khan more than expected).
Fields of papers citing papers by Asif Khan
This network shows the impact of papers produced by Asif 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 Asif Khan. The network helps show where Asif Khan may publish in the future.
Co-authorship network of co-authors of Asif Khan
This figure shows the co-authorship network connecting the top 25 collaborators of Asif Khan. A scholar is included among the top collaborators of Asif 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 Asif Khan. Asif 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 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 16 | |
| 6 | 41 | |
| 7 | 7 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 4 | |
| 11 | 56 | |
| 12 | 4 | |
| 13 | 47 | |
| 14 | 1 | |
| 15 | 4 | |
| 16 | 2 | |
| 17 | 11 | |
| 18 | 5 | |
| 19 | Effect of Sparse Decomposition on Various ICA Algorithms With Application to Image Data | 1 |
| 20 | Genetic Algorithm Based Backpropagation Neural Network Performs better than Backpropagation Neural Network in Stock Rates Prediction | 20 |
About Asif Khan
Asif Khan is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Management Science and Operations Research, having authored 49 papers that have together received 850 indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (8 papers), Blind Source Separation Techniques (6 papers) and Face and Expression Recognition (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (397 citations), Computer Networks and Communications (358 citations) and Aerospace Engineering (354 citations). Asif Khan has collaborated with scholars based in India, Pakistan and China. Frequent co-authors include Bernhard Rinner, Evşen Yanmaz, Andrea Cavallaro, Hermann Hellwagner, Samira Hayat, Vladimir Vukadinović, Christian Bettstetter, Jürgen Scherer, Saeed Yahyanejad and Torsten Andre. Their work appears in journals such as IEEE Transactions on Cybernetics, Neurocomputing and IEEE Transactions on Circuits and Systems for Video Technology.
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.