Sheraz Ahmed
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 1%
- Signal Processing top 2%
- Computer Networks and Communications top 5%
- Molecular Biology
- Co-authors
- Andreas DengelShoaib Ahmed SiddiquiMohsin MunirMuhammad Imran MalikMarcus LiwickiStefan AgneMarkus WeberIvo Wolf
- Topics
- Handwritten Text Recognition Techniques (30 papers)Machine Learning in Bioinformatics (12 papers)Anomaly Detection Techniques and Applications (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe EMBO JournalPLoS ONE
In The Last Decade
Sheraz Ahmed
100 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Artificial Intelligence 886
- Computer Vision and Pattern Recognition 802
- Signal Processing 307
- Computer Networks and Communications 264
- Molecular Biology 231
Countries citing papers authored by Sheraz Ahmed
This map shows the geographic impact of Sheraz 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 Sheraz Ahmed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheraz Ahmed more than expected).
Fields of papers citing papers by Sheraz Ahmed
This network shows the impact of papers produced by Sheraz 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 Sheraz Ahmed. The network helps show where Sheraz Ahmed may publish in the future.
Co-authorship network of co-authors of Sheraz Ahmed
This figure shows the co-authorship network connecting the top 25 collaborators of Sheraz Ahmed. A scholar is included among the top collaborators of Sheraz 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 Sheraz Ahmed. Sheraz 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 | Segment Anything for Microscopybreakdown → | 29 |
| 2 | 8 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 18 | |
| 9 | 4 | |
| 10 | 8 | |
| 11 | 5 | |
| 12 | 8 | |
| 13 | 3 | |
| 14 | 135 | |
| 15 | 12 | |
| 16 | 105 | |
| 17 | DeepBiRD: An Automatic Bibliographic Reference Detection Approach. | 1 |
| 18 | 7 | |
| 19 | What Am I Writing: Classification of On-Line Handwritten Sequences. | 1 |
| 20 | 37 |
About Sheraz Ahmed
Sheraz Ahmed is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Artificial Intelligence, having authored 110 papers that have together received 2.2k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (30 papers), Machine Learning in Bioinformatics (12 papers) and Anomaly Detection Techniques and Applications (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (802 citations), Geology (166 citations) and Signal Processing (307 citations). Sheraz Ahmed has collaborated with scholars based in Germany, Pakistan and Sweden. Frequent co-authors include Andreas Dengel, Shoaib Ahmed Siddiqui, Mohsin Munir, Muhammad Imran Malik, Marcus Liwicki, Stefan Agne, Markus Weber, Ivo Wolf, Muhammad Ali Ibrahim and Muhammad Nabeel Asim. Their work appears in journals such as SHILAP Revista de lepidopterología, The EMBO Journal and PLoS ONE.
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.