S.A. Awan

934 citations
40 papers · 666 · h-index 14

Impact in

Papers in

S.A. Awan

35 papers receiving 638 citations

Peers

S.A. Awan
Comparison fields: 5 of 45
  • Bioengineering 26
  • Electrical and Electronic Engineering 355
  • Statistics, Probability and Uncertainty 50
  • Materials Chemistry 133
  • Biomedical Engineering 116
Replace Jacques Pistré with:
Jacques Pistré France
Giorgio C. Mutinati Austria
Zhaohao Zhang China
Natalia P. Boroznina Russia
Michael Jacobs United States
Shadi Sabri United States
Christopher S. DiMarco United States
Dnyandeo Pawar India
Jakob Janting Denmark
Pingping Zhuang China
S.A. Awan relative to Jacques Pistré France Jacques Pistré's profile →
Citations per field
00.5×5×10×12.5×
Jacques Pistré · 1×
Citations per year

Countries citing papers authored by S.A. Awan

Since Specialization
Citations

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

Fields of papers citing papers by S.A. Awan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.A. Awan. 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 S.A. Awan. The network helps show where S.A. Awan may publish in the future.

Co-authors

The 25 scholars most cited alongside S.A. Awan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with S.A. Awan Line = papers co-authored together S.A. Awan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011103
2 201358
3 201853
4 201648
5 201647
6 202046
7 202144
8 199735
9 200532
10 201929
11 200127
12 200020
13 200317
14 201614
15 200712
16
Self-Sensing Surface Plasmon Resonance for the Detection of Metallic Nanoparticles
201310
17 20059
18 20159
19 19978
20 19977

About S.A. Awan

S.A. Awan is a scholar working on Electrical and Electronic Engineering, Statistics, Probability and Uncertainty, Materials Chemistry, Biomedical Engineering and Bioengineering, having authored 40 papers that have together received 666 indexed citations. Recurring topics across this work include Advanced Electrical Measurement Techniques (14 papers), Graphene research and applications (8 papers), Electrochemical sensors and biosensors (6 papers), Superconducting Materials and Applications (6 papers), Advanced biosensing and bioanalysis techniques (4 papers), Scientific Measurement and Uncertainty Evaluation (3 papers), Advanced MEMS and NEMS Technologies (2 papers) and Advanced MRI Techniques and Applications (2 papers). The work is most often cited by research in Bioengineering (26 citations), Electrical and Electronic Engineering (355 citations), Statistics, Probability and Uncertainty (50 citations), Materials Chemistry (133 citations) and Biomedical Engineering (116 citations). S.A. Awan has collaborated with scholars based in United Kingdom, Germany and Saudi Arabia. Frequent co-authors include B P Kibble, J. Schurr, Samar Damiati, Bing Li, David Jenkins, S. Sali, I A Robinson, Genhua Pan, Richard D. Handy and Antonio Lombardo. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, Physica C Superconductivity, Measurement Science and Technology, Concepts in Magnetic Resonance Part A and Cryogenics.

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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