SK Sharma

950 citations
51 papers · 667 · h-index 14

Impact in

    • Water resources management and optimization
    • Underwater Vehicles and Communication Systems
    • Tuberculosis Research and Epidemiology
    • HIV/AIDS Research and Interventions

Papers in

SK Sharma

48 papers receiving 625 citations

Peers

SK Sharma
Comparison fields: 5 of 136
  • Ocean Engineering 95
  • Infectious Diseases 99
  • Control and Systems Engineering 86
  • Civil and Structural Engineering 72
  • Water Science and Technology 43
Replace Qijie Li with:
Qijie Li China
Zhan Dou China
Scott Hughes United States
Richard W. Miller United States
Dinesh V. Kalaga India
Iman Rahimi Australia
Hamid Nasiri Iran
Farah Shahid Pakistan
Yu Jin China
Zhensheng Wang China
SK Sharma relative to Qijie Li China Qijie Li's profile →
Citations per field
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Citations per year

Countries citing papers authored by SK Sharma

Since Specialization
Citations

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

Fields of papers citing papers by SK Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside SK Sharma, 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 SK Sharma Line = papers co-authored together SK Sharma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011116
2 2004110
3 202348
4 201843
5 201935
6 201334
7 201833
8 200426
9 201616
10
Applied nonlinear programming
200615
11 201214
12 200914
13 202313
14 201413
15 199612
16 20119
17 20238
18 19997
19 20137
20 20136

About SK Sharma

SK Sharma is a scholar working on Ocean Engineering, Control and Systems Engineering, Endocrinology, Diabetes and Metabolism, Infectious Diseases and Cardiology and Cardiovascular Medicine, having authored 51 papers that have together received 667 indexed citations. Recurring topics across this work include Diabetes Management and Research (4 papers), Advanced Control Systems Optimization (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Wave and Wind Energy Systems (4 papers), Fault Detection and Control Systems (3 papers), Adaptive Control of Nonlinear Systems (3 papers), Blood Pressure and Hypertension Studies (3 papers) and Streptococcal Infections and Treatments (3 papers). The work is most often cited by research in Ocean Engineering (95 citations), Infectious Diseases (99 citations), Control and Systems Engineering (86 citations), Civil and Structural Engineering (72 citations) and Water Science and Technology (43 citations). SK Sharma has collaborated with scholars based in United Kingdom, India and Nepal. Frequent co-authors include Harrison E. Mutikanga, Kalanithy Vairavamoorthy, Robert Sutton, Jian Wan, Tamilarasu Kadhiravan, Tarun Goyal, Amit Banga, Andrew J. Manning, Riccardo Polvara and Tarvinder K. Taneja. Their work appears in journals such as Renewable Energy, Drones, Robotica, IEEE Transactions on Automatic Control and Ocean Engineering.

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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