Azam Sheikh Muhammad
- Molecular Biology
- Industrial and Manufacturing Engineering top 5%
- Artificial Intelligence
- Management Information Systems
- Safety, Risk, Reliability and Quality top 10%
- Co-authors
- Mukund SubramaniyanAnders SkooghJens NielsenJon BokrantzVilhelm VerendelVerena SiewersAleksej ZelezniakJan Zrimec
- Topics
- Machine Learning and Algorithms (4 papers)SARS-CoV-2 detection and testing (4 papers)Advanced biosensing and bioanalysis techniques (4 papers)
- Cited by
- Industrial and Manufacturing EngineeringManagement Information SystemsMedical Laboratory Technology
In The Last Decade
Azam Sheikh Muhammad
20 papers receiving 377 citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 172
- Industrial and Manufacturing Engineering 91
- Artificial Intelligence 69
- Management Information Systems 31
- Safety, Risk, Reliability and Quality 26
Countries citing papers authored by Azam Sheikh Muhammad
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 6 | |
| 3 | 57 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 21 | |
| 7 | 111 | |
| 8 | 21 | |
| 9 | 1 | |
| 10 | 55 | |
| 11 | 6 | |
| 12 | 17 | |
| 13 | 33 | |
| 14 | 3 | |
| 15 | 7 | |
| 16 | 2 | |
| 17 | 20 | |
| 18 | 3 | |
| 19 | 10 | |
| 20 | 3 |
About Azam Sheikh Muhammad
Azam Sheikh Muhammad is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence and Infectious Diseases, having authored 20 papers that have together received 388 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (4 papers), SARS-CoV-2 detection and testing (4 papers) and Advanced biosensing and bioanalysis techniques (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (91 citations), Management Information Systems (31 citations) and Medical Laboratory Technology (5 citations). Azam Sheikh Muhammad has collaborated with scholars based in Sweden, Germany and Pakistan. Frequent co-authors include Mukund Subramaniyan, Anders Skoogh, Jens Nielsen, Jon Bokrantz, Vilhelm Verendel, Verena Siewers, Aleksej Zelezniak, Jan Zrimec, Peter Damaschke and Christoph Roser. Their work appears in journals such as Nature Communications, PLoS Computational Biology and International Journal of Operations & Production Management.
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.