Mohammed Forhad Uddin

497 citations
27 papers · 378 · h-index 7

Impact in

Papers in

Mohammed Forhad Uddin

24 papers receiving 362 citations

Peers

Mohammed Forhad Uddin
Comparison fields: 5 of 67
  • Polymers and Plastics 147
  • Mechanics of Materials 160
  • Numerical Analysis 25
  • Modeling and Simulation 15
  • Statistical and Nonlinear Physics 37
Replace Juan Martinez‐Vega with:
Juan Martinez‐Vega France
S. M. Goh Malaysia
Abdelkader Nour Algeria
A. M. Vinogradov United States
Jinquan Cheng United States
P. Singh United States
Anna Carolina Cerqueira Neves United Kingdom
Adel Almarashi Saudi Arabia
Rolf Walter Germany
Imrich Klein United States
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Citations per field
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Citations per year

Countries citing papers authored by Mohammed Forhad Uddin

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed Forhad Uddin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Mohammed Forhad Uddin, 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 Mohammed Forhad Uddin Line = papers co-authored together Mohammed Forhad Uddin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008140
2 200984
3
Challenges and Prospects of Poultry Industry in Bangladesh
201438
4 201625
5 200519
6 200917
7 202213
8 20245
9 20225
10 20114
11 20204
12 20164
13 20213
14 20203
15 20222
16 20152
17 20202
18 20161
19 20191
20 20161

About Mohammed Forhad Uddin

Mohammed Forhad Uddin is a scholar working on Management Information Systems, Statistical and Nonlinear Physics, Strategy and Management, Modeling and Simulation and Materials Chemistry, having authored 27 papers that have together received 378 indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (9 papers), Model Reduction and Neural Networks (5 papers), Sustainable Supply Chain Management (4 papers), COVID-19 epidemiological studies (4 papers), Optimization and Mathematical Programming (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Polymer Nanocomposites and Properties (3 papers) and Silicone and Siloxane Chemistry (3 papers). The work is most often cited by research in Polymers and Plastics (147 citations), Mechanics of Materials (160 citations), Numerical Analysis (25 citations), Modeling and Simulation (15 citations) and Statistical and Nonlinear Physics (37 citations). Mohammed Forhad Uddin has collaborated with scholars based in Bangladesh, United States and Japan. Frequent co-authors include C.T. Sun, Mohammad Khairul Islam, Md. Mahbub Alam, Peter Benner, Jens Saak, Shaik Zainuddin, Hassan Mahfuz, Shaik Jeelani, M. Monir Uddin and Mrinal C. Saha. Their work appears in journals such as Composites Science and Technology, Scientific Reports, Applied Composite Materials, Applied Mathematical Modelling and Journal of Naval Architecture and Marine Engineering.

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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