Sarmad Hussain
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 5%
- Signal Processing top 5%
- Experimental and Cognitive Psychology top 10%
- Co-authors
- Nadir DurraniMuhammad Zeshan AfzalAsma NaseerTahira NaseemMary Kay KenneyBruce L. SmithAasim AliKashif Javed
- Topics
- Natural Language Processing Techniques (35 papers)Speech Recognition and Synthesis (20 papers)Topic Modeling (19 papers)
- Partner nations
- PakistanGermanyUnited States
In The Last Decade
Sarmad Hussain
64 papers receiving 728 citations
Peers
Comparison fields: 5 of 55
- Artificial Intelligence 564
- Computer Vision and Pattern Recognition 273
- Media Technology 124
- Signal Processing 123
- Experimental and Cognitive Psychology 76
Countries citing papers authored by Sarmad Hussain
This map shows the geographic impact of Sarmad Hussain'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 Sarmad Hussain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarmad Hussain more than expected).
Fields of papers citing papers by Sarmad Hussain
This network shows the impact of papers produced by Sarmad Hussain. 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 Sarmad Hussain. The network helps show where Sarmad Hussain may publish in the future.
Co-authorship network of co-authors of Sarmad Hussain
This figure shows the co-authorship network connecting the top 25 collaborators of Sarmad Hussain. A scholar is included among the top collaborators of Sarmad Hussain 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 Sarmad Hussain. Sarmad Hussain 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 | 3 | |
| 5 | 38 | |
| 6 | 12 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 24 | |
| 10 | The CLE Urdu POS Tagset | 9 |
| 11 | 9 | |
| 12 | Urdu Word Segmentation | 52 |
| 13 | Transliterating Urdu for a Broad-Coverage Urdu/Hindi LFG Grammar | 19 |
| 14 | 20 | |
| 15 | 7 | |
| 16 | Resources for Urdu Language Processing | 34 |
| 17 | 15 | |
| 18 | 33 | |
| 19 | Phonetic correlates of lexical stress in Urdu | 28 |
| 20 | 1 |
About Sarmad Hussain
Sarmad Hussain is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, having authored 68 papers that have together received 805 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (35 papers), Speech Recognition and Synthesis (20 papers) and Topic Modeling (19 papers). The work is most often cited by research in Artificial Intelligence (564 citations), Media Technology (124 citations) and Computer Vision and Pattern Recognition (273 citations). Sarmad Hussain has collaborated with scholars based in Pakistan, Germany and United States. Frequent co-authors include Nadir Durrani, Muhammad Zeshan Afzal, Asma Naseer, Tahira Naseem, Mary Kay Kenney, Bruce L. Smith, Aasim Ali, Kashif Javed, Wajid Ali and Inam Ullah. Their work appears in journals such as PLoS ONE, Radiology and The Journal of the Acoustical Society of America.
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.