Sheraz Ahmed

4.8k total citations · 2 hit papers
110 papers, 2.2k citations indexed

About

Sheraz Ahmed is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Sheraz Ahmed has authored 110 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Computer Vision and Pattern Recognition, 40 papers in Artificial Intelligence and 19 papers in Molecular Biology. Recurrent topics in Sheraz Ahmed's work include Handwritten Text Recognition Techniques (30 papers), Machine Learning in Bioinformatics (12 papers) and Anomaly Detection Techniques and Applications (12 papers). Sheraz Ahmed is often cited by papers focused on Handwritten Text Recognition Techniques (30 papers), Machine Learning in Bioinformatics (12 papers) and Anomaly Detection Techniques and Applications (12 papers). Sheraz Ahmed collaborates with scholars based in Germany, Pakistan and Sweden. Sheraz Ahmed's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, The EMBO Journal and PLoS ONE.

In The Last Decade

Sheraz Ahmed

100 papers receiving 2.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series

2018 393 citations Mohsin Munir, Shoaib Ahmed Siddiqui et al. IEEE Access profile →
Segment Anything for Microscopy

2025 29 citations Nabeel Khalid, Genevieve Buckley et al. Nature Methods profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Sheraz Ahmed Germany	23	886	802	307	264	231	110	2.2k
Shengwei Tian China	22	646 0.7×	728 0.9×	119 0.4×	173 0.7×	121 0.5×	137	2.0k
Yanan Sun China	23	1.8k 2.0×	2.1k 2.6×	123 0.4×	119 0.5×	78 0.3×	91	4.2k
Dawid Połap Poland	28	1.1k 1.2×	702 0.9×	145 0.5×	252 1.0×	58 0.3×	113	2.6k
Zhenguo Li China	30	1.4k 1.6×	2.0k 2.5×	154 0.5×	158 0.6×	71 0.3×	125	3.1k
Yifan Feng China	10	1.0k 1.1×	857 1.1×	108 0.4×	115 0.4×	134 0.6×	29	2.2k
Ge Li China	31	1.7k 2.0×	2.7k 3.4×	329 1.1×	463 1.8×	224 1.0×	257	5.1k
Manish Kumar India	26	983 1.1×	1.4k 1.8×	148 0.5×	399 1.5×	64 0.3×	234	3.2k
Zizhao Zhang China	9	840 0.9×	736 0.9×	103 0.3×	104 0.4×	117 0.5×	13	1.9k
宏治津田 Japan	1	1.1k 1.2×	867 1.1×	165 0.5×	142 0.5×	70 0.3×	2	2.0k
Weijun Li China	27	641 0.7×	1.1k 1.4×	229 0.7×	41 0.2×	41 0.2×	113	2.2k

Countries citing papers authored by Sheraz Ahmed

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Khalid, Nabeel, et al.. (2025). Segment Anything for Microscopy. Nature Methods. 22(3). 579–591. 29 indexed citations breakdown →

Mercier, Dominique, et al.. (2024). The privacy-explainability trade-off: unraveling the impacts of differential privacy and federated learning on attribution methods. Frontiers in Artificial Intelligence. 7. 1236947–1236947. 8 indexed citations

Asim, Muhammad Nabeel, et al.. (2024). CAPTURE: Comprehensive anti-cancer peptide predictor with a unique amino acid sequence encoder. Computers in Biology and Medicine. 176. 108538–108538. 5 indexed citations

Dengel, Andreas, et al.. (2024). Medi-CAT: Contrastive Adversarial Training for Medical Image Classification. 832–839. 2 indexed citations

Ahmed, Sheraz, et al.. (2024). Influence of Nutritional Interventions on Functional Outcomes in Stroke Rehabilitation: A Systematic Review. Cureus. 16(2). e53711–e53711.

Asim, Muhammad Nabeel, et al.. (2023). NTpred: a robust and precise machine learning framework for in silico identification of Tyrosine nitration sites in protein sequences. Briefings in Functional Genomics. 23(2). 163–179.

Bakhshipour, Amin E., et al.. (2023). Generative Adversarial Networks in Urban Water Management: A Review of Potentials, Theory and a Tailor-Made Application in Combined Sewerprediction. SSRN Electronic Journal. 1 indexed citations

Mercier, Dominique, et al.. (2022). PPML-TSA: A modular privacy-preserving time series classification framework. Software Impacts. 12. 100286–100286. 1 indexed citations

Siddiqui, Shoaib Ahmed, et al.. (2022). Improving Health Mention Classification of Social Media Content Using Contrastive Adversarial Training. IEEE Access. 10. 87900–87910. 3 indexed citations

10.

Razzak, Imran, et al.. (2022). Performance Comparison of Transformer-Based Models on Twitter Health Mention Classification. IEEE Transactions on Computational Social Systems. 10(3). 1140–1149. 8 indexed citations

11.

Asim, Muhammad Nabeel, Muhammad Ali Ibrahim, Christoph Zehe, et al.. (2022). BoT-Net: a lightweight bag of tricks-based neural network for efficient LncRNA–miRNA interaction prediction. Interdisciplinary Sciences Computational Life Sciences. 14(4). 841–862. 4 indexed citations

12.

Asim, Muhammad Nabeel, Muhammad Ali Ibrahim, Muhammad Imran Malik, et al.. (2022). Histone-Net: a multi-paradigm computational framework for histone occupancy and modification prediction. Complex & Intelligent Systems. 9(1). 399–419. 5 indexed citations

13.

Asim, Muhammad Nabeel, Muhammad Ali Ibrahim, Muhammad Imran Malik, Andreas Dengel, & Sheraz Ahmed. (2022). LGCA-VHPPI: A local-global residue context aware viral-host protein-protein interaction predictor. PLoS ONE. 17(7). e0270275–e0270275. 8 indexed citations

14.

Edlund, Christoffer, Timothy R. Jackson, Nabeel Khalid, et al.. (2021). LIVECell—A large-scale dataset for label-free live cell segmentation. Nature Methods. 18(9). 1038–1045. 135 indexed citations

15.

Asim, Muhammad Nabeel, Muhammad Imran Malik, Christoph Zehe, et al.. (2020). A Robust and Precise ConvNet for Small Non-Coding RNA Classification (RPC-snRC). IEEE Access. 9. 19379–19390. 12 indexed citations

16.

Malik, Muhammad Imran, et al.. (2020). Computer-Aided Diagnosis of Skin Diseases Using Deep Neural Networks. Applied Sciences. 10(7). 2488–2488. 105 indexed citations

17.

Dengel, Andreas, et al.. (2019). DeepBiRD: An Automatic Bibliographic Reference Detection Approach.. arXiv (Cornell University). 1 indexed citations

18.

Malik, Muhammad Imran, et al.. (2019). FFD: Figure and Formula Detection from Document Images. 1–7. 7 indexed citations

19.

Siddiqui, Shoaib Ahmed, et al.. (2019). DeepTabStR: Deep Learning based Table Structure Recognition. 1403–1409. 36 indexed citations

20.

Malik, Muhammad Imran, Sheraz Ahmed, Angelo Marcelli, et al.. (2015). ICDAR2015 competition on signature verification and writer identification for on- and off-line skilled forgeries (SigWIcomp2015). Griffith Research Online (Griffith University, Queensland, Australia). 1186–1190. 37 indexed citations

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.

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