Kutub Uddin Eibek

1.0k citations
8 papers · 816 · 1 hit paper · h-index 7

Impact in

Papers in

Kutub Uddin Eibek

8 papers receiving 806 citations

Kutub Uddin Eibek's Hit Papers

Flood susceptibility modelling using advanced ensemble machine learning models 2020 · 435 citations
4350+2+4Years since publication100200300400

Peers

Kutub Uddin Eibek
Comparison fields: 5 of 71
  • Global and Planetary Change 633
  • Water Science and Technology 305
  • Environmental Engineering 262
  • Atmospheric Science 114
  • Soil Science 61
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Shudong Wang China
Antonia Longobardi Italy
Joy Sanyal India
Meriame Mohajane Morocco
Hongxiang Fan China
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Sonali Kundu India
Md Masroor India
George Papaioannou Greece
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Kutub Uddin Eibek relative to Shudong Wang China Shudong Wang's profile →
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Citations per year

Countries citing papers authored by Kutub Uddin Eibek

Since Specialization
Citations

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

Fields of papers citing papers by Kutub Uddin Eibek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kutub Uddin Eibek. 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 Kutub Uddin Eibek. The network helps show where Kutub Uddin Eibek may publish in the future.

Co-authors

The 20 scholars most cited alongside Kutub Uddin Eibek, 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 Kutub Uddin Eibek Line = papers co-authored together Kutub Uddin Eibek links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
Flood susceptibility modelling using advanced ensemble machine learning models
Hit paper breakdown →
2020435
2 2021132
3 201984
4 202066
5 202166
6 202222
7 20229
8 20212

About Kutub Uddin Eibek

Kutub Uddin Eibek is a scholar working on Global and Planetary Change, Environmental Engineering, Ecology, Evolution, Behavior and Systematics, Ecology and Media Technology, having authored 8 papers that have together received 816 indexed citations. Recurring topics across this work include Flood Risk Assessment and Management (5 papers), Hydrology and Drought Analysis (3 papers), Hydrological Forecasting Using AI (2 papers), Climate variability and models (2 papers), Land Use and Ecosystem Services (2 papers), Climate change impacts on agriculture (2 papers), Hydrology and Watershed Management Studies (1 paper) and Hydrology and Sediment Transport Processes (1 paper). The work is most often cited by research in Global and Planetary Change (633 citations), Water Science and Technology (305 citations), Environmental Engineering (262 citations), Atmospheric Science (114 citations) and Soil Science (61 citations). Kutub Uddin Eibek has collaborated with scholars based in Bangladesh, India and Vietnam. Frequent co-authors include Abu Reza Md. Towfiqul Islam, Swapan Talukdar, Quoc Bao Pham, Susanta Mahato, Nguyễn Thị Thùy Linh, Alban Kuriqi, Sonali Kundu, Sk Ziaul, Javed Mallick and Md. Jalal Uddin. Their work appears in journals such as Environmental Science and Pollution Research, Geoscience Frontiers, Quaternary International, Sustainability and Ecological Indicators.

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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