Muhammad Saqib

2.2k citations
73 papers · 1.9k indexed · h-index 24
Topics
Advanced biosensing and bioanalysis techniques (19 papers)Organic Electronics and Photovoltaics (17 papers)Machine Learning in Materials Science (14 papers)

In The Last Decade

Muhammad Saqib

69 papers receiving 1.9k citations

Peers

Muhammad Saqib
Comparison fields: 5 of 100
  • Electrical and Electronic Engineering 779
  • Molecular Biology 738
  • Materials Chemistry 620
  • Biomedical Engineering 445
  • Renewable Energy, Sustainability and the Environment 370
Replace Saravanan Govindaraju with:
Saravanan Govindaraju South Korea
Hanbing Rao China
Qingbiao Zhao China
Viliam Kolivoška Czechia
Mehboobali Pannipara Saudi Arabia
Haichao Dai China
Jun Feng China
Xirong Huang China
Onur Akyıldırım Türkiye
Limei Sun China
Muhammad Saqib relative to Saravanan Govindaraju South Korea Saravanan Govindaraju's profile →
Citations per field
00.5×10×16.3×
Saravanan Govindaraju · 1×
Citations per year

Countries citing papers authored by Muhammad Saqib

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Saqib

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Saqib

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Saqib. A scholar is included among the top collaborators of Muhammad Saqib 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 Saqib. Muhammad Saqib 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 6
2 0
3 2
4 5
5 4
6 4
7 0
8 5
9 4
10 13
11 10
12 9
13 1
14 5
15 9
16 13
17 8
18 5
19 65
20 12

About Muhammad Saqib

Muhammad Saqib is a scholar working on Electrochemistry, Polymers and Plastics and Electrical and Electronic Engineering, having authored 73 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (19 papers), Organic Electronics and Photovoltaics (17 papers) and Machine Learning in Materials Science (14 papers). The work is most often cited by research in Electrochemistry (339 citations), Renewable Energy, Sustainability and the Environment (370 citations) and Bioengineering (88 citations). Muhammad Saqib has collaborated with scholars based in China, Pakistan and Saudi Arabia. Frequent co-authors include Guobao Xu, Fengxia Wu, Wenyue Gao, Jianping Lai, Suping Li, Haijuan Li, Yongdong Jin, Rafael Luque, Liming Qi and Mohamed Ibrahim Halawa. Their work appears in journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and Energy & Environmental Science.

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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