Syam M.S.

14 papers receiving 311 citations

Syam M.S.'s Hit Papers

Global production patterns: Understanding the relationship between greenhouse gas emissions, agriculture greening and climate variability 2023 · 125 citations
1250+1+2Years since publication4080120

Peers

Syam M.S.
Comparison fields: 5 of 84
  • Media Technology 24
  • Environmental Engineering 36
  • Renewable Energy, Sustainability and the Environment 38
  • Automotive Engineering 24
  • Computer Vision and Pattern Recognition 39
Replace Javier Morales with:
Javier Morales Netherlands
Saud Khan Pakistan
Mingzhen Li China
Mohamed Benslimane Morocco
Zhiyuan Yang China
Waleed Khan Pakistan
Ziyi Chen China
Zhiyuan Zeng China
Xuebin Xu China
Junfeng Hu China
Syam M.S. relative to Javier Morales Netherlands Javier Morales's profile →
Citations per field
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Javier Morales · 1×
Citations per year

Countries citing papers authored by Syam M.S.

Since Specialization
Citations

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

Fields of papers citing papers by Syam M.S.

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1
Global production patterns: Understanding the relationship between greenhouse gas emissions, agriculture greening and climate variability
Hit paper breakdown →
2023125
2 202341
3 202335
4 202423
5 201319
6 202417
7 202414
8 202413
9 202512
10 20248
11 20245
12 20224
13 20132
14 20191
15 20190

About Syam M.S.

Syam M.S. is a scholar working on Electrical and Electronic Engineering, Ecology, Media Technology, Environmental Engineering and Plant Science, having authored 15 papers that have together received 319 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (3 papers), Energy Harvesting in Wireless Networks (3 papers), Smart Agriculture and AI (3 papers), Microgrid Control and Optimization (2 papers), Advanced DC-DC Converters (2 papers), Advanced MIMO Systems Optimization (2 papers), Wireless Power Transfer Systems (2 papers) and Photovoltaic System Optimization Techniques (2 papers). The work is most often cited by research in Media Technology (24 citations), Environmental Engineering (36 citations), Renewable Energy, Sustainability and the Environment (38 citations), Automotive Engineering (24 citations) and Computer Vision and Pattern Recognition (39 citations). Syam M.S. has collaborated with scholars based in China, Saudi Arabia and United Arab Emirates. Frequent co-authors include Uzair Aslam Bhatti, Yazeed Yasin Ghadi, Mughair Aslam Bhatti, Emad Mahrous Awwad, Hao Tang, Mohamed Sharaf, Asad Khan, Hao Tang, Ahmad Hasnain and Abdul Wahid. Their work appears in journals such as IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Big Data Research, Journal of Cloud Computing Advances Systems and Applications, Journal of Cleaner Production and Environmental Research.

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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