Fatima Ashraf

11 papers receiving 588 citations

Fatima Ashraf's Hit Papers

Effect of animal manure, crop type, climate zone, and soil attributes on greenhouse gas emissions from agricultural soils—A global meta-analysis 2020 · 219 citations
2190+2+4Years since publication50100150200

Peers

Fatima Ashraf
Comparison fields: 5 of 98
  • Soil Science 241
  • Modeling and Simulation 29
  • Agronomy and Crop Science 62
  • Global and Planetary Change 127
  • Health, Toxicology and Mutagenesis 71
Replace Xiangwu Yao with:
Xiangwu Yao China
R.C. Harit India
M. Cristina Negri United States
Xianglan Li China
Shivraj Sahai India
Marleena Hagner Finland
Binxiang Huang China
Lidong Li United States
Magdalena Urbaniak Poland
Guoyong Tang China
Fatima Ashraf relative to Xiangwu Yao China Xiangwu Yao's profile →
Citations per field
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Citations per year

Countries citing papers authored by Fatima Ashraf

Since Specialization
Citations

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

Fields of papers citing papers by Fatima Ashraf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1
Effect of animal manure, crop type, climate zone, and soil attributes on greenhouse gas emissions from agricultural soils—A global meta-analysis
Hit paper breakdown →
2020219
2 2021109
3 2020106
4 2020103
5 202018
6 202117
7 20218
8 20246
9 20206
10 20241
11 20171
12 20220

About Fatima Ashraf

Fatima Ashraf is a scholar working on Global and Planetary Change, Soil Science, Economics and Econometrics, Organic Chemistry and Ecology, Evolution, Behavior and Systematics, having authored 12 papers that have together received 594 indexed citations. Recurring topics across this work include Soil Carbon and Nitrogen Dynamics (2 papers), COVID-19 impact on air quality (2 papers), Thermal and Kinetic Analysis (1 paper), Genomics and Rare Diseases (1 paper), Retinal Imaging and Analysis (1 paper), Image Enhancement Techniques (1 paper), Inorganic and Organometallic Chemistry (1 paper) and Brain Tumor Detection and Classification (1 paper). The work is most often cited by research in Soil Science (241 citations), Modeling and Simulation (29 citations), Agronomy and Crop Science (62 citations), Global and Planetary Change (127 citations) and Health, Toxicology and Mutagenesis (71 citations). Fatima Ashraf has collaborated with scholars based in Pakistan, China and Spain. Frequent co-authors include Awais Shakoor, Abdul Rehman, Taimoor Hassan Farooq, Muhammad Mohsin Altaf, Sher Muhammad Shahzad, Muhammad Ashraf, Muhammad Ahsan Altaf, Muhammad Aamir Manzoor, Muhammad Abdullah and Adnan Mustafa. Their work appears in journals such as Environmental Pollution, Multimedia Tools and Applications, Environmental Research, Journal of Cleaner Production and Air Quality Atmosphere & Health.

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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