Fatima Ashraf

1.2k citations
12 papers · 564 indexed · 1 hit paper · h-index 7

Fatima Ashraf

11 papers receiving 558 citations

Hit Papers

Effect of animal manure, crop type, climate zone, and soi...205202020262022202450100150200

Peers

Fatima Ashraf
Comparison fields: 5 of 99
  • Soil Science 231
  • Modeling and Simulation 31
  • Agronomy and Crop Science 61
  • Global and Planetary Change 125
  • Health, Toxicology and Mutagenesis 71
Replace Éder de Souza Martins with:
Éder de Souza Martins Brazil
Xiangwu Yao China
R.C. Harit India
Shivraj Sahai India
M. Cristina Negri United States
Xianglan Li China
Marleena Hagner Finland
Binxiang Huang China
Lidong Li United States
Magdalena Urbaniak Poland
Fatima Ashraf relative to Éder de Souza Martins Brazil Éder de Souza Martins's profile →
Citations per field
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Éder de Souza Martins · 1×
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-authorship network

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 20241
2 20245
3 20220
4 202117
5 2021103
6 20218
7
Effect of animal manure, crop type, climate zone, and soil attributes on greenhouse gas emissions from agricultural soils—A global meta-analysisbreakdown →
2020205
8 202018
9 2020103
10 202097
11 20206
12 20171

About Fatima Ashraf

Fatima Ashraf is a scholar working on Modeling and Simulation, Soil Science, Global and Planetary Change, Neurology and Environmental Chemistry, having authored 12 papers that have together received 564 indexed citations. Recurring topics across this work include COVID-19 impact on air quality (2 papers), Soil Carbon and Nitrogen Dynamics (2 papers), Food composition and properties (1 paper), Air Quality and Health Impacts (1 paper), Genomics and Rare Diseases (1 paper), Air Quality Monitoring and Forecasting (1 paper), Agriculture, Soil, Plant Science (1 paper) and Thermal and Kinetic Analysis (1 paper). The work is most often cited by research in Soil Science (231 citations), Modeling and Simulation (31 citations), Agronomy and Crop Science (61 citations), Global and Planetary Change (125 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 Abdullah, Muhammad Ahsan Altaf, Muhammad Ashraf, Muhammad Aamir Manzoor and Adnan Mustafa. Their work appears in journals such as Air Quality Atmosphere & Health, Environmental Science and Pollution Research, Multimedia Tools and Applications, Environmental Research and Environmental Pollution.

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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