Waheed S. Khan

82 papers receiving 1.9k citations

Peers

Waheed S. Khan
Comparison fields: 5 of 102
  • Renewable Energy, Sustainability and the Environment 461
  • Electronic, Optical and Magnetic Materials 406
  • Materials Chemistry 919
  • Polymers and Plastics 250
  • Biomaterials 207
Replace Muhammad Maqbool with:
Muhammad Maqbool United States
Jongwon Shim South Korea
Vivek Kumar Shukla India
Marcelo de Assis Brazil
Marcos Augusto Lima Nobre Brazil
Jae‐Hun Yang South Korea
Arun Thirumurugan India
Wei Zheng China
Roman Elashnikov Czechia
Waleed M. A. El Rouby Egypt
Waheed S. Khan relative to Muhammad Maqbool United States Muhammad Maqbool's profile →
Citations per field
00.5×5×10×15×17.6×
Muhammad Maqbool · 1×
Citations per year

Countries citing papers authored by Waheed S. Khan

Since Specialization
Citations

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

Fields of papers citing papers by Waheed S. Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014184
2 2019159
3 2019136
4 2013109
5 201096
6 201484
7 202070
8 201464
9 201758
10 202156
11 201342
12 201441
13 201439
14 201237
15 201837
16 202137
17 202132
18 201331
19 201930
20 201829

About Waheed S. Khan

Waheed S. Khan is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials, Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering and Biomedical Engineering, having authored 84 papers that have together received 2.0k indexed citations. Recurring topics across this work include ZnO doping and properties (17 papers), Gas Sensing Nanomaterials and Sensors (11 papers), Advanced biosensing and bioanalysis techniques (10 papers), Quantum Dots Synthesis And Properties (9 papers), Advanced Photocatalysis Techniques (9 papers), Biosensors and Analytical Detection (8 papers), Copper-based nanomaterials and applications (8 papers) and Advanced Nanomaterials in Catalysis (7 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (461 citations), Electronic, Optical and Magnetic Materials (406 citations), Materials Chemistry (919 citations), Polymers and Plastics (250 citations) and Biomaterials (207 citations). Waheed S. Khan has collaborated with scholars based in Pakistan, China and United States. Frequent co-authors include Chuanbao Cao, Sadia Zafar Bajwa, Ghulam Nabi, Faheem K. Butt, Faryal Idrees, Muhammad Tahir, Asma Rehman, Dr. Ramazan Asmatulu, Imran Aslam and Zulfiqar Ali. Their work appears in journals such as Materials Letters, Journal of Materials Research and Technology, Journal of Nanoscience and Nanotechnology, CrystEngComm and Materials Science and Engineering B.

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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