Aisha Javed

477 citations
19 papers · 361 · h-index 12

Impact in

Papers in

Aisha Javed

18 papers receiving 354 citations

Peers

Aisha Javed
Comparison fields: 5 of 43
  • Environmental Chemistry 175
  • Water Science and Technology 223
  • Soil Science 54
  • Environmental Engineering 67
  • Nature and Landscape Conservation 55
Replace Jeffrey G. Chanat with:
Jeffrey G. Chanat United States
Inese Huttunen Finland
Markus Huttunen Finland
Cornelia Hesse Germany
Zhaojiang Hou China
Geying Lai China
Hayley Guyatt United Kingdom
Amir Sadeghian Canada
Lindsey Yasarer United States
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Aisha Javed relative to Jeffrey G. Chanat United States Jeffrey G. Chanat's profile →
Citations per field
00.5×1.5×1.9×
Jeffrey G. Chanat · 1×
Citations per year

Countries citing papers authored by Aisha Javed

Since Specialization
Citations

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

Fields of papers citing papers by Aisha Javed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 201940
2 201938
3 201938
4 202134
5 202030
6 202029
7 201925
8 202125
9 201920
10 201819
11 202117
12 201814
13 201811
14 20186
15 20246
16 20246
17 20252
18 20251
19 20260

About Aisha Javed

Aisha Javed is a scholar working on Water Science and Technology, Environmental Chemistry, Ecology, Global and Planetary Change and Soil Science, having authored 19 papers that have together received 361 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (13 papers), Soil and Water Nutrient Dynamics (11 papers), Water Quality and Pollution Assessment (4 papers), Soil erosion and sediment transport (4 papers), Fish Ecology and Management Studies (3 papers), Land Use and Ecosystem Services (2 papers), Aquatic Ecosystems and Phytoplankton Dynamics (2 papers) and Hydrological Forecasting Using AI (2 papers). The work is most often cited by research in Environmental Chemistry (175 citations), Water Science and Technology (223 citations), Soil Science (54 citations), Environmental Engineering (67 citations) and Nature and Landscape Conservation (55 citations). Aisha Javed has collaborated with scholars based in Canada and China. Frequent co-authors include George B. Arhonditsis, Yuko Shimoda, Carlos Alberto Arnillas, Cindy Yang, Vincent Y. S. Cheng, Feifei Dong, Shan Mugalingam, Dong‐Kyun Kim, Chen Zhang and Yixuan Huang. Their work appears in journals such as Ecological Informatics, Journal of Hydrology, Environmental Reviews, The Science of The Total Environment and Journal of Hydrology Regional Studies.

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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