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.
Explainable, interpretable, and trustworthy AI for an intelligent digital twin: A case study on remaining useful life
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
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.
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 →
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
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
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research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
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Rankless may not fully capture the entirety of a scholar's output or impact.