Muhammad Sanaullah

866 citations
77 papers · 575 indexed · h-index 13
Topics
Advancements in Semiconductor Devices and Circuit Design (13 papers)Carbon Nanotubes in Composites (9 papers)Semiconductor materials and devices (9 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEIEEE Access

In The Last Decade

Muhammad Sanaullah

69 papers receiving 544 citations

Peers

Muhammad Sanaullah
Comparison fields: 5 of 92
  • Electrical and Electronic Engineering 184
  • Artificial Intelligence 116
  • Materials Chemistry 107
  • Biomedical Engineering 84
  • Signal Processing 59
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Muhammad Sanaullah relative to Jinyang Huang China Jinyang Huang's profile →
Citations per field
00.5×10×15.5×
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Citations per year

Countries citing papers authored by Muhammad Sanaullah

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Sanaullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Sanaullah

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Sanaullah. A scholar is included among the top collaborators of Muhammad Sanaullah 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 Muhammad Sanaullah. Muhammad Sanaullah 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
#WorkIndexed citations
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6 9
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8 12
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15 32
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Multilayer molybdenum disulfide (MoS2) based tunnel transistor.
4
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Neural network based classification of deceptive and stressed speech using nonlinear spectral and cepstral features
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19 1
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Hur leker olika barn bäst : om sjuksköterskor och biståndsbedömare i kommunal vård och omsorg
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About Muhammad Sanaullah

Muhammad Sanaullah is a scholar working on Signal Processing, Artificial Intelligence and Biophysics, having authored 77 papers that have together received 575 indexed citations. Recurring topics across this work include Advancements in Semiconductor Devices and Circuit Design (13 papers), Carbon Nanotubes in Composites (9 papers) and Semiconductor materials and devices (9 papers). The work is most often cited by research in Signal Processing (59 citations), Health Informatics (5 citations) and Artificial Intelligence (116 citations). Muhammad Sanaullah has collaborated with scholars based in United States, Pakistan and Saudi Arabia. Frequent co-authors include Masud H. Chowdhury, Fulvio Corno, Zia Ud Din, Guenther Ruhe, Perveiz Khalid, K. Gopalan, Amjad Rehman, Mehdi Hassan, Sajid Iqbal and Shafiq Hussain. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

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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