MS Islam

34 papers receiving 612 citations

Peers

MS Islam
Comparison fields: 5 of 87
  • Agronomy and Crop Science 137
  • Soil Science 129
  • Plant Science 400
  • Pollution 82
  • Water Science and Technology 82
Replace Hafiz Muhammad Rashad Javeed with:
Hafiz Muhammad Rashad Javeed Pakistan
Nazih Y. Rebouh Russia
Xiao Guoju China
Jean Diatta Poland
Ammar Wahbi Syria
Coşkun Gülser Türkiye
János Tamás Hungary
M. T. Adetunji Nigeria
S Vijayakumar India
Pabitra Banik India
MS Islam relative to Hafiz Muhammad Rashad Javeed Pakistan Hafiz Muhammad Rashad Javeed's profile →
Citations per field
00.5×2.6×
Hafiz Muhammad Rashad Javeed · 1×
Citations per year

Countries citing papers authored by MS Islam

Since Specialization
Citations

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

Fields of papers citing papers by MS Islam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000355
2 201653
3 201336
4 202233
5 200632
6 201730
7 201529
8 199219
9 200618
10
Diversity of medicinal plants in Wari subdivision district Upper Dir, Pakistan
200717
11 201012
12
Effect of nitrogen level on aromatic rice varieties and soil fertility status.
200812
13 20179
14 20179
15
INFLUENCE OF SULPHUR ON NUTRIENT CONTENT AND UPTAKE BY RICE AND ITS BALANCE IN OLD BRAHMAPUTRA FLOODPLAIN SOIL
20077
16 20245
17 19905
18 20245
19 19705
20 20154

About MS Islam

MS Islam is a scholar working on Soil Science, Plant Science, General Agricultural and Biological Sciences, Water Science and Technology and Agronomy and Crop Science, having authored 34 papers that have together received 724 indexed citations. Recurring topics across this work include Water Quality and Pollution Assessment (6 papers), Agricultural Science and Fertilization (6 papers), Agricultural Economics and Practices (4 papers), Rice Cultivation and Yield Improvement (4 papers), Crop Yield and Soil Fertility (3 papers), Wind and Air Flow Studies (3 papers), Fish Biology and Ecology Studies (3 papers) and Agricultural risk and resilience (2 papers). The work is most often cited by research in Agronomy and Crop Science (137 citations), Soil Science (129 citations), Plant Science (400 citations), Pollution (82 citations) and Water Science and Technology (82 citations). MS Islam has collaborated with scholars based in Bangladesh, United States and Japan. Frequent co-authors include Muhammad Rashid Siddique, Manahil SidAhmed Mustafa, Shahin Mahmud, Ross B. Corotis, Bruce R. Ellingwood, MM Rahman, Mirza Hasanuzzaman, Md. Khairul Alam, Teruyuki FUKUHARA and Nazmus Salahin. Their work appears in journals such as The Journal of Agricultural Science, Journal of Structural Engineering, Journal of Wind Engineering and Industrial Aerodynamics, Heliyon and Journal of Engineering Mechanics.

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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