Hassan Bashir

29 papers receiving 716 citations

Peers

Hassan Bashir
Comparison fields: 5 of 111
  • Water Science and Technology 168
  • Pollution 128
  • Renewable Energy, Sustainability and the Environment 146
  • Analytical Chemistry 54
  • Energy Engineering and Power Technology 16
Replace Eui-Chan Jeon with:
Eui-Chan Jeon South Korea
Ugochukwu Ewuzie Nigeria
Zhihong Zheng China
Shiv Shankar India
Hamid M. Pouran United Kingdom
Sudesh Chaudhary India
Nirajan Dhakal Netherlands
Arunachalam Thirunavukkarasu India
Desmond Ato Koomson China
Yaneth A. Bustos‐Terrones Mexico
Hassan Bashir relative to Eui-Chan Jeon South Korea Eui-Chan Jeon's profile →
Citations per field
00.5×2.8×
Eui-Chan Jeon · 1×
Citations per year

Countries citing papers authored by Hassan Bashir

Since Specialization
Citations

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

Fields of papers citing papers by Hassan Bashir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017219
2 202092
3 201981
4 202147
5 202243
6 202034
7 201928
8 202024
9 202020
10 201617
11 202216
12 201814
13 202113
14 202012
15 202312
16 20209
17 20228
18 20256
19 20195
20 20205

About Hassan Bashir

Hassan Bashir is a scholar working on Water Science and Technology, Sociology and Political Science, Political Science and International Relations, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment, having authored 35 papers that have together received 725 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (5 papers), Hydrological Forecasting Using AI (4 papers), Advanced Photocatalysis Techniques (3 papers), Social Media and Politics (3 papers), Energy Load and Power Forecasting (3 papers), Flood Risk Assessment and Management (2 papers), Impact of Technology on Adolescents (2 papers) and Transboundary Water Resource Management (2 papers). The work is most often cited by research in Water Science and Technology (168 citations), Pollution (128 citations), Renewable Energy, Sustainability and the Environment (146 citations), Analytical Chemistry (54 citations) and Energy Engineering and Power Technology (16 citations). Hassan Bashir has collaborated with scholars based in China, Pakistan and Uganda. Frequent co-authors include Muhammad Imran Azam, Muhammad Sibtain, Yunguo Liu, Xianshan Li, Lu Zhou, Min Cheng, Cui Lai, Piao Xu, Jia Wan and Xiaomin Gong. Their work appears in journals such as Environmental Engineering Science, International Journal of Environmental Research and Public Health, Energy Conversion and Management, Bioorganic & Medicinal Chemistry Letters and Journal of Environmental Radioactivity.

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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