Milan Saha

919 total citations · 3 hit papers
11 papers, 691 citations indexed

About

Milan Saha is a scholar working on Global and Planetary Change, Environmental Engineering and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Milan Saha has authored 11 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Global and Planetary Change, 7 papers in Environmental Engineering and 4 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Milan Saha's work include Urban Heat Island Mitigation (7 papers), Land Use and Ecosystem Services (7 papers) and Urban Green Space and Health (3 papers). Milan Saha is often cited by papers focused on Urban Heat Island Mitigation (7 papers), Land Use and Ecosystem Services (7 papers) and Urban Green Space and Health (3 papers). Milan Saha collaborates with scholars based in United States, Bangladesh and Malaysia. Milan Saha's co-authors include Abdulla ‐ Al Kafy, Zullyadini A. Rahaman, Md. Abdul Fattah, Abdullah-Al- Faisal, Abdulaziz I. Almulhim, Muhammad Tauhidur Rahman, Arpita Bakshi, Abdullah Al Rakib, Sk Nafiz Rahaman and Maomao Zhang and has published in prestigious journals such as The Science of The Total Environment, Environmental Pollution and Journal of Environmental Management.

In The Last Decade

Milan Saha

11 papers receiving 674 citations

Hit Papers

Assessing the impacts of vegetation cover loss on surface... 2022 2026 2023 2024 2022 2022 2023 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Assessing the impacts of vegetation cover loss on surface temperature, urban heat island and carbon emission in Penang city, Malaysia
    2022 138 citations Zullyadini A. Rahaman, Abdulla ‐ Al Kafy et al. Building and Environment profile →
  2. Impact of urban expansion on land surface temperature and carbon emissions using machine learning algorithms in Wuhan, China
    2022 137 citations Maomao Zhang, Abdulla ‐ Al Kafy et al. Urban Climate profile →
  3. Assessment and prediction of index based agricultural drought vulnerability using machine learning algorithms
    2023 71 citations Abdulla ‐ Al Kafy, Arpita Bakshi et al. The Science of The Total Environment profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Milan Saha United States 10 458 390 194 161 103 11 691
Shisong Cao China 19 435 0.9× 385 1.0× 240 1.2× 175 1.1× 77 0.7× 48 777
Ruci Wang Japan 12 455 1.0× 415 1.1× 288 1.5× 165 1.0× 81 0.8× 24 630
Yihe Lü China 8 526 1.1× 414 1.1× 302 1.6× 169 1.0× 116 1.1× 11 749
Jonas Schwaab Switzerland 14 436 1.0× 320 0.8× 264 1.4× 116 0.7× 62 0.6× 23 725
Milap Punia India 15 515 1.1× 298 0.8× 203 1.0× 149 0.9× 161 1.6× 39 763
Takehiro Morimoto Japan 15 491 1.1× 464 1.2× 302 1.6× 142 0.9× 66 0.6× 34 772
Fengning Hu China 11 485 1.1× 453 1.2× 340 1.8× 165 1.0× 91 0.9× 12 775
Chunzhu Wei China 15 387 0.8× 370 0.9× 202 1.0× 171 1.1× 83 0.8× 29 748
DMSLB Dissanayake Sri Lanka 16 465 1.0× 499 1.3× 309 1.6× 129 0.8× 89 0.9× 21 807
Santanu Dinda India 14 483 1.1× 266 0.7× 240 1.2× 101 0.6× 145 1.4× 19 709

Countries citing papers authored by Milan Saha

Since Specialization
Citations

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

Fields of papers citing papers by Milan Saha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Milan Saha

This figure shows the co-authorship network connecting the top 25 collaborators of Milan Saha. A scholar is included among the top collaborators of Milan Saha based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Milan Saha. Milan Saha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Saha, Milan, Abdulla ‐ Al Kafy, Arpita Bakshi, et al.. (2024). The urban air quality nexus: Assessing the interplay of land cover change and air pollution in emerging South Asian cities. Environmental Pollution. 361. 124877–124877. 13 indexed citations
2.
Rahaman, Zullyadini A., Abdulla ‐ Al Kafy, Md. Abdul Fattah, & Milan Saha. (2024). Enhancing Urban Ecological Risk Assessment by Integrating Spatial Modeling and Machine Learning for Resilient Environmental Management in UNESCO World Heritage Cities. Earth Systems and Environment. 9(4). 2723–2752. 3 indexed citations
3.
Kafy, Abdulla ‐ Al, Milan Saha, Hamad Ahmed Altuwaijri, et al.. (2024). Leveraging machine learning algorithms in dynamic modeling of urban expansion, surface heat islands, and carbon storage for sustainable environmental management in coastal ecosystems. Journal of Environmental Management. 370. 122427–122427. 13 indexed citations
4.
Kafy, Abdulla ‐ Al, Arpita Bakshi, Milan Saha, et al.. (2023). Assessment and prediction of index based agricultural drought vulnerability using machine learning algorithms. The Science of The Total Environment. 867. 161394–161394. 71 indexed citations breakdown →
5.
Kafy, Abdulla ‐ Al, Milan Saha, Md. Abdul Fattah, et al.. (2023). Integrating forest cover change and carbon storage dynamics: Leveraging Google Earth Engine and InVEST model to inform conservation in hilly regions. Ecological Indicators. 152. 110374–110374. 67 indexed citations
6.
Al-Dousari, Ahmad, Abdulla ‐ Al Kafy, Milan Saha, et al.. (2023). Summertime Microscale Assessment and Prediction of Urban Thermal Comfort Zone Using Remote-Sensing Techniques for Kuwait. Earth Systems and Environment. 7(2). 435–456. 11 indexed citations
7.
Saha, Milan, Abdulla ‐ Al Kafy, Arpita Bakshi, et al.. (2022). Modelling microscale impacts assessment of urban expansion on seasonal surface urban heat island intensity using neural network algorithms. Energy and Buildings. 275. 112452–112452. 54 indexed citations
8.
Rahaman, Zullyadini A., Abdulla ‐ Al Kafy, Milan Saha, et al.. (2022). Assessing the impacts of vegetation cover loss on surface temperature, urban heat island and carbon emission in Penang city, Malaysia. Building and Environment. 222. 109335–109335. 138 indexed citations breakdown →
9.
Al-Dousari, Ahmad, Abdulla ‐ Al Kafy, Milan Saha, et al.. (2022). Modelling the impacts of land use/land cover changing pattern on urban thermal characteristics in Kuwait. Sustainable Cities and Society. 86. 104107–104107. 72 indexed citations
10.
Kafy, Abdulla ‐ Al, Milan Saha, Abdullah-Al- Faisal, et al.. (2022). Predicting the impacts of land use/land cover changes on seasonal urban thermal characteristics using machine learning algorithms. Building and Environment. 217. 109066–109066. 112 indexed citations
11.
Zhang, Maomao, Abdulla ‐ Al Kafy, Pengnan Xiao, et al.. (2022). Impact of urban expansion on land surface temperature and carbon emissions using machine learning algorithms in Wuhan, China. Urban Climate. 47. 101347–101347. 137 indexed citations breakdown →

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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