Syed Bahauddin Alam

1.2k total citations · 1 hit paper
81 papers, 632 citations indexed

About

Syed Bahauddin Alam is a scholar working on Aerospace Engineering, Materials Chemistry and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Syed Bahauddin Alam has authored 81 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Aerospace Engineering, 36 papers in Materials Chemistry and 12 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Syed Bahauddin Alam's work include Nuclear reactor physics and engineering (34 papers), Nuclear Materials and Properties (28 papers) and Nuclear and radioactivity studies (10 papers). Syed Bahauddin Alam is often cited by papers focused on Nuclear reactor physics and engineering (34 papers), Nuclear Materials and Properties (28 papers) and Nuclear and radioactivity studies (10 papers). Syed Bahauddin Alam collaborates with scholars based in United States, Bangladesh and United Kingdom. Syed Bahauddin Alam's co-authors include Cameron S. Goodwin, Geoffrey T. Parks, Kazuma Kobayashi, Dinesh Kumar, Palash Kumar Bhowmik, H M Dipu Kabir, James Daniell, Farid Ahmed, A. B. M. R. Sazzad and Shoaib Usman and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Energy.

In The Last Decade

Syed Bahauddin Alam

72 papers receiving 598 citations

Hit Papers

Explainable, interpretable, and trustworthy AI for an int... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Syed Bahauddin Alam United States 13 291 238 121 75 59 81 632
Wei Shen China 16 341 1.2× 289 1.2× 36 0.3× 103 1.4× 121 2.1× 83 826
Mineo Fukushima Japan 9 188 0.6× 116 0.5× 219 1.8× 132 1.8× 48 0.8× 18 710
Jin Ho Park South Korea 18 144 0.5× 150 0.6× 230 1.9× 73 1.0× 35 0.6× 61 959
Jiejuan Tong China 18 312 1.1× 189 0.8× 55 0.5× 10 0.1× 47 0.8× 81 799
GT Parks United Kingdom 10 155 0.5× 98 0.4× 65 0.5× 20 0.3× 27 0.5× 48 415
Richard Vilim United States 12 138 0.5× 38 0.2× 108 0.9× 81 1.1× 39 0.7× 59 633
Cheng Peng China 14 51 0.2× 45 0.2× 159 1.3× 79 1.1× 104 1.8× 71 600
Shinji Kawatsuma Japan 6 202 0.7× 29 0.1× 167 1.4× 142 1.9× 59 1.0× 12 667
Fabio Giannetti Italy 18 952 3.3× 892 3.7× 159 1.3× 205 2.7× 70 1.2× 126 1.3k
Anderson Alvarenga de Moura Meneses Brazil 11 117 0.4× 52 0.2× 22 0.2× 23 0.3× 20 0.3× 31 397

Countries citing papers authored by Syed Bahauddin Alam

Since Specialization
Citations

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

Fields of papers citing papers by Syed Bahauddin Alam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Syed Bahauddin Alam

This figure shows the co-authorship network connecting the top 25 collaborators of Syed Bahauddin Alam. A scholar is included among the top collaborators of Syed Bahauddin Alam 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 Syed Bahauddin Alam. Syed Bahauddin Alam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mondal, Subrota Kumar, et al.. (2025). On English-Chinese Neural Machine Translation leveraging Transformer model. Charles Sturt University Research Output (CRO). 12. 100166–100166.
2.
Alajo, Ayodeji, et al.. (2025). AI-driven uncertainty quantification & multi-physics approach to evaluate cladding materials in a microreactor. Progress in Nuclear Energy. 186. 105793–105793. 1 indexed citations
5.
Daniell, James, et al.. (2024). Digital twin-centered hybrid data-driven multi-stage deep learning framework for enhanced nuclear reactor power prediction. Energy and AI. 19. 100450–100450. 9 indexed citations
6.
Kobayashi, Kazuma & Syed Bahauddin Alam. (2023). Explainable, interpretable, and trustworthy AI for an intelligent digital twin: A case study on remaining useful life. Engineering Applications of Artificial Intelligence. 129. 107620–107620. 79 indexed citations breakdown →
7.
Shahjalal, Mohammad, Tamanna Shams, Probir Kumar Roy, et al.. (2022). A Numerical Thermal Analysis of a Battery Pack in an Electric Motorbike Application. Designs. 6(4). 60–60. 4 indexed citations
9.
Alam, Syed Bahauddin, et al.. (2021). Simultaneous experimental evaluation of pulse shape and deadtime phenomenon of GM detector. Scientific Reports. 11(1). 3320–3320. 3 indexed citations
10.
Alam, Syed Bahauddin, et al.. (2020). Experimental evaluation of the deadtime phenomenon for GM detector: deadtime dependence on operating voltages. Scientific Reports. 10(1). 19955–19955. 6 indexed citations
11.
Alam, Syed Bahauddin, et al.. (2019). Uncertainty Quantification of SMR Core Linear Power Using Polynomial Chaos Method. Transactions of the American Nuclear Society. 120(1). 867–870. 1 indexed citations
12.
Kumar, Dinesh, et al.. (2019). Reactor physics analysis of thorium-based fuel for long-life SMR cores using seed-blanket fuel concept. Cambridge University Engineering Department Publications Database. 1 indexed citations
13.
Alam, Syed Bahauddin, et al.. (2017). Hot channel analysis of a 333 MWth high power density civil marine core using 3D neutronic/thermal-hydraulic coupling of hybrid Monte Carlo MONK with sub-channel analysis COBRA-EN code. Cambridge University Engineering Department Publications Database. 3 indexed citations
14.
Alam, Syed Bahauddin, Cameron S. Goodwin, & Geoffrey T. Parks. (2017). Reactor physics assessment of candidate accident-tolerant cladding concepts for long-life civil nuclear marine propulsion cores. Cambridge University Engineering Department Publications Database. 2 indexed citations
15.
Alam, Syed Bahauddin, Geoffrey T. Parks, & Ben Lindley. (2016). Hot assembly and whole-core thermal-hydraulic analysis of a high power density marine core with neutronic/thermal-hydraulic coupling. Cambridge University Engineering Department Publications Database. 5 indexed citations
16.
Alam, Syed Bahauddin, Ben Lindley, Geoffrey T. Parks, & Eugene Shwageraus. (2016). Burnable poison designs for a soluble-boron-free civil nuclear marine PWR core. Cambridge University Engineering Department Publications Database. 5 indexed citations
17.
Alam, Syed Bahauddin, et al.. (2016). Lattice design and coolant selection for A 333 MWTH PWR Civil marine propulsion core using thorium-based checkerboard micro-heterogeneous fuel. Cambridge University Engineering Department Publications Database. 1 indexed citations
18.
Alam, Syed Bahauddin, Ben Lindley, & Geoffrey T. Parks. (2015). Hot channel analysis of a 333 mwth civil nuclear marine core using the cobra-en code. Apollo (University of Cambridge). 3 indexed citations
19.
Hussain, Mohammad Sakhawat, et al.. (2012). Synthesis and characterization of aggregated nano-cobalt particles by bottom up approach. chemistry and materials research. 2(7). 72–82. 1 indexed citations
20.
Alam, Syed Bahauddin, et al.. (2010). EM shielding, dosimetry control and Xe(135)-Sm(149) Poisoning effect for nuclear waste treatment. 74. 101–106. 1 indexed citations

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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