Azam Sheikh Muhammad

703 total citations
20 papers, 388 citations indexed

About

Azam Sheikh Muhammad is a scholar working on Artificial Intelligence, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Azam Sheikh Muhammad has authored 20 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Molecular Biology and 4 papers in Infectious Diseases. Recurrent topics in Azam Sheikh Muhammad's work include Machine Learning and Algorithms (4 papers), SARS-CoV-2 detection and testing (4 papers) and Advanced biosensing and bioanalysis techniques (4 papers). Azam Sheikh Muhammad is often cited by papers focused on Machine Learning and Algorithms (4 papers), SARS-CoV-2 detection and testing (4 papers) and Advanced biosensing and bioanalysis techniques (4 papers). Azam Sheikh Muhammad collaborates with scholars based in Sweden, Germany and Pakistan. Azam Sheikh Muhammad's co-authors include Mukund Subramaniyan, Anders Skoogh, Jens Nielsen, Vilhelm Verendel, Jon Bokrantz, Jan Zrimec, Verena Siewers, Aleksej Zelezniak, Peter Damaschke and Björn Johansson and has published in prestigious journals such as Nature Communications, PLoS Computational Biology and International Journal of Operations & Production Management.

In The Last Decade

Azam Sheikh Muhammad

20 papers receiving 377 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Azam Sheikh Muhammad Sweden 9 172 91 69 31 26 20 388
Luyang Liu China 15 47 0.3× 73 0.8× 157 2.3× 5 0.2× 6 0.2× 44 516
Mahmood A. Rashid Australia 11 214 1.2× 6 0.1× 38 0.6× 16 0.5× 4 0.2× 29 330
John Washbrook United Kingdom 11 224 1.3× 41 0.5× 92 1.3× 5 0.2× 16 0.6× 21 414
Jiansheng Guo China 10 52 0.3× 63 0.7× 57 0.8× 9 0.3× 18 0.7× 35 319
Micheal Olaolu Arowolo Nigeria 13 79 0.5× 6 0.1× 204 3.0× 16 0.5× 2 0.1× 45 521
Maria M. Papathanasiou United Kingdom 15 262 1.5× 32 0.4× 11 0.2× 13 0.4× 2 0.1× 42 691
Feng Shi China 11 142 0.8× 52 0.6× 42 0.6× 11 0.4× 1 0.0× 62 311
Ho Sun Shon South Korea 11 140 0.8× 26 0.3× 84 1.2× 3 0.1× 22 405
Shinsuke Tamura Japan 11 125 0.7× 24 0.3× 92 1.3× 3 0.1× 3 0.1× 51 358
Zoé Lacroix United States 11 157 0.9× 17 0.2× 187 2.7× 13 0.4× 4 0.2× 72 432

Countries citing papers authored by Azam Sheikh Muhammad

Since Specialization
Citations

This map shows the geographic impact of Azam Sheikh Muhammad'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 Azam Sheikh Muhammad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Azam Sheikh Muhammad more than expected).

Fields of papers citing papers by Azam Sheikh Muhammad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Azam Sheikh Muhammad. 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 Azam Sheikh Muhammad. The network helps show where Azam Sheikh Muhammad may publish in the future.

Co-authorship network of co-authors of Azam Sheikh Muhammad

This figure shows the co-authorship network connecting the top 25 collaborators of Azam Sheikh Muhammad. A scholar is included among the top collaborators of Azam Sheikh Muhammad 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 Azam Sheikh Muhammad. Azam Sheikh Muhammad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jönsson, Patrik, et al.. (2024). What are the root causes of material delivery schedule inaccuracy in supply chains?. International Journal of Operations & Production Management. 44(13). 34–68. 3 indexed citations
2.
Liu, Yitian, Shengrui Zhang, Jing Li, et al.. (2024). An R2R3‐type MYB transcription factor, GmMYB77, negatively regulates isoflavone accumulation in soybean [Glycine max (L.) Merr.]. Plant Biotechnology Journal. 23(3). 824–838. 6 indexed citations
3.
Zrimec, Jan, Xiaozhi Fu, Azam Sheikh Muhammad, et al.. (2022). Controlling gene expression with deep generative design of regulatory DNA. Nature Communications. 13(1). 5099–5099. 57 indexed citations
4.
Muhammad, Azam Sheikh, et al.. (2021). Machine learning-based investigation of the cancer protein secretory pathway. PLoS Computational Biology. 17(4). e1008898–e1008898. 8 indexed citations
5.
Candefjord, Stefan, Azam Sheikh Muhammad, Pramod Bangalore, & Rubén Buendía. (2021). On Scene Injury Severity Prediction (OSISP) machine learning algorithms for motor vehicle crash occupants in US. Journal of Transport & Health. 22. 101124–101124. 21 indexed citations
6.
Muhammad, Azam Sheikh, et al.. (2021). A Deep Learning System for Automatic Extraction of Typological Linguistic Information from Descriptive Grammars. Chalmers Research (Chalmers University of Technology). 1480–1489. 1 indexed citations
7.
Zrimec, Jan, Filip Buric, Azam Sheikh Muhammad, et al.. (2020). Deep learning suggests that gene expression is encoded in all parts of a co-evolving interacting gene regulatory structure. Nature Communications. 11(1). 6141–6141. 111 indexed citations
8.
Subramaniyan, Mukund, Anders Skoogh, Azam Sheikh Muhammad, et al.. (2020). A data-driven approach to diagnosing throughput bottlenecks from a maintenance perspective. Computers & Industrial Engineering. 150. 106851–106851. 21 indexed citations
9.
Muhammad, Azam Sheikh, et al.. (2020). Context-Aware Optimal Charging Distribution using Deep Reinforcement Learning. Chalmers Research (Chalmers University of Technology). 64–68. 1 indexed citations
10.
Subramaniyan, Mukund, Anders Skoogh, Azam Sheikh Muhammad, et al.. (2020). A generic hierarchical clustering approach for detecting bottlenecks in manufacturing. Journal of Manufacturing Systems. 55. 143–158. 55 indexed citations
11.
Muhammad, Azam Sheikh, et al.. (2019). Exploiting Frame Semantics and Frame-Semantic Parsing for Automatic Extraction of Typological Information from Descriptive Grammars of Natural Languages. Chalmers Research (Chalmers University of Technology). 1247–1256. 6 indexed citations
12.
Subramaniyan, Mukund, Anders Skoogh, Azam Sheikh Muhammad, Jon Bokrantz, & Ebru Turanoğlu Bekar. (2019). A prognostic algorithm to prescribe improvement measures on throughput bottlenecks. Journal of Manufacturing Systems. 53. 271–281. 17 indexed citations
13.
Subramaniyan, Mukund, et al.. (2018). Data-driven algorithm for throughput bottleneck analysis of production systems. Production & Manufacturing Research. 6(1). 225–246. 33 indexed citations
14.
Damaschke, Peter, et al.. (2014). Strict group testing and the set basis problem. Journal of Combinatorial Theory Series A. 126. 70–91. 3 indexed citations
15.
Damaschke, Peter, et al.. (2013). Two New Perspectives on Multi-Stage Group Testing. Algorithmica. 67(3). 324–354. 7 indexed citations
16.
Damaschke, Peter & Azam Sheikh Muhammad. (2011). BOUNDS FOR NONADAPTIVE GROUP TESTS TO ESTIMATE THE AMOUNT OF DEFECTIVES. Discrete Mathematics Algorithms and Applications. 3(4). 517–536. 2 indexed citations
17.
Damaschke, Peter & Azam Sheikh Muhammad. (2010). COMPETITIVE GROUP TESTING AND LEARNING HIDDEN VERTEX COVERS WITH MINIMUM ADAPTIVITY. Discrete Mathematics Algorithms and Applications. 2(3). 291–311. 20 indexed citations
18.
Muhammad, Azam Sheikh, et al.. (2007). Parallel Branch And Bound Model Using Logarithmic Sampling (Pbls) For Symmetric Traveling Salesman Problem. Zenodo (CERN European Organization for Nuclear Research). 3 indexed citations
19.
Muhammad, Azam Sheikh, et al.. (2007). Urdu Spoken Digits Recognition Using Classified MFCC and Backpropgation Neural Network. 414–418. 10 indexed citations
20.
Muhammad, Azam Sheikh, et al.. (2006). On fast recognition of isolated characters by constructing character signature database. 6. 568–575. 3 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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