Sanowar Khan

667 citations
60 papers · 448 indexed · h-index 13
Topics
Sensor Technology and Measurement Systems (9 papers)Electrical and Bioimpedance Tomography (9 papers)Superconducting Materials and Applications (7 papers)

In The Last Decade

Sanowar Khan

53 papers receiving 421 citations

Peers

Sanowar Khan
Comparison fields: 5 of 82
  • Electrical and Electronic Engineering 122
  • Computer Networks and Communications 85
  • Artificial Intelligence 75
  • Control and Systems Engineering 68
  • Biomedical Engineering 58
Replace Laurent Clavier with:
Laurent Clavier France
Xiaolin Liang China
Luis J. Morales-Mendoza Mexico
Janez Gradišek Slovenia
Ahmad Reza Haghighi Iran
Youssoufa Mohamadou Cameroon
Luís Serrano Spain
Sanowar Khan relative to Laurent Clavier France Laurent Clavier's profile →
Citations per field
00.5×2.7×
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Citations per year

Countries citing papers authored by Sanowar Khan

Since Specialization
Citations

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

Fields of papers citing papers by Sanowar Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanowar Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Sanowar Khan. A scholar is included among the top collaborators of Sanowar Khan 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 Sanowar Khan. Sanowar Khan 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
1 0
2 0
3 0
4 1
5
Effect of Newtonian and non-Newtonian flow in subject specific carotid artery
3
6 39
7 5
8 21
9 7
10 5
11 8
12 3
13 4
14 16
15
Advances and generic problems in instrument design methodology
3
16 22
17 5
18
Calculation of static characteristics of linear step motors for control rod drives of nuclear reactors-an approximate approach
3
19 13
20 6

About Sanowar Khan

Sanowar Khan is a scholar working on Architecture, Electronic, Optical and Magnetic Materials and Computer Networks and Communications, having authored 60 papers that have together received 448 indexed citations. Recurring topics across this work include Sensor Technology and Measurement Systems (9 papers), Electrical and Bioimpedance Tomography (9 papers) and Superconducting Materials and Applications (7 papers). The work is most often cited by research in Computer Networks and Communications (85 citations), Control and Systems Engineering (68 citations) and Statistics and Probability (24 citations). Sanowar Khan has collaborated with scholars based in United Kingdom, Russia and Mexico. Frequent co-authors include Yuriy S. Shmaliy, Shunyi Zhao, Peter Galbraith, P. A. Kyriacou, Nitesh Kumar, Raghuvir Pai, L. Finkelstein, Christopher Haines, Werner Blum and Oscar Ibarra‐Manzano. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Control Systems Technology and Sensors and Actuators A Physical.

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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