Shah Saud Alam

813 citations
25 papers · 608 indexed · h-index 12

Shah Saud Alam

22 papers receiving 593 citations

Peers

Shah Saud Alam
Comparison fields: 5 of 86
  • Industrial and Manufacturing Engineering 177
  • Energy Engineering and Power Technology 39
  • Pollution 138
  • Fluid Flow and Transfer Processes 62
  • Automotive Engineering 96
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Giulio Allesina Italy
Md. Arman Arefin Bangladesh
Samson Mekbib Atnaw Malaysia
Maria Luiza Grillo Renó Brazil
Miloud Ouadi United Kingdom
Zhiwei Wang China
Rubenildo Vieira Andrade Brazil
Einara Blanco Machín Brazil
Daniel Travieso Pedroso Brazil
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Citations per field
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Citations per year

Countries citing papers authored by Shah Saud Alam

Since Specialization
Citations

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

Fields of papers citing papers by Shah Saud Alam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shah Saud Alam. 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 Shah Saud Alam. The network helps show where Shah Saud Alam may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20251
3 202414
4 20243
5 20235
6 202319
7 20239
8 202224
9 202237
10 20226
11 202263
12 20221
13 2022107
14 202233
15 202111
16 202163
17 2020149
18 20193
19
Examining Business Potential and Growth in Textile and Apparel Industry: A Case Study in Malaysia
20120
20
Marketing of medicinal plants using landscape architectural design
20002

About Shah Saud Alam

Shah Saud Alam is a scholar working on Fluid Flow and Transfer Processes, Industrial and Manufacturing Engineering, Pollution, Forestry and Water Science and Technology, having authored 25 papers that have together received 608 indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (7 papers), Recycling and Waste Management Techniques (4 papers), Municipal Solid Waste Management (4 papers), Biodiesel Production and Applications (3 papers), Combustion and flame dynamics (3 papers), Heat transfer and supercritical fluids (3 papers), Adsorption and biosorption for pollutant removal (3 papers) and Healthcare and Environmental Waste Management (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (177 citations), Energy Engineering and Power Technology (39 citations), Pollution (138 citations), Fluid Flow and Transfer Processes (62 citations) and Automotive Engineering (96 citations). Shah Saud Alam has collaborated with scholars based in United States, Saudi Arabia and India. Frequent co-authors include Afzal Husain Khan, Nadeem A. Khan, Christopher Depcik, Jared D. Hobeck, Sindhu Preetham Burugupally, Xianglin Li, Lakhveer Singh, J.R. López, Eduardo Alberto López‐Maldonado and Sirajuddin Ahmed. Their work appears in journals such as Energies, Journal of Environmental Management, International Journal of Environmental Science and Technology, Environmental Research and Energy Conversion and Management.

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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