Mahabubul Alam
- Biomedical Engineering top 5%
- Fluid Flow and Transfer Processes top 0.5%
- Materials Chemistry top 10%
- Automotive Engineering top 2%
- Artificial Intelligence top 5%
- Co-authors
- André L. BoehmanJuhun SongSwaroop GhoshJames P. SzybistAbdullah Ash SakiTarique AhmadKafeel AhmadRagini Acharya
- Topics
- Quantum Computing Algorithms and Architecture (19 papers)Quantum Information and Cryptography (16 papers)Catalytic Processes in Materials Science (13 papers)
- Journals
- CarbonFuelEnergy & Fuels
- Partner nations
- United StatesJapanIndia
In The Last Decade
Mahabubul Alam
50 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 88
- Biomedical Engineering 879
- Fluid Flow and Transfer Processes 856
- Materials Chemistry 462
- Automotive Engineering 350
- Artificial Intelligence 311
Countries citing papers authored by Mahabubul Alam
This map shows the geographic impact of Mahabubul 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 Mahabubul Alam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mahabubul Alam more than expected).
Fields of papers citing papers by Mahabubul Alam
This network shows the impact of papers produced by Mahabubul 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 Mahabubul Alam. The network helps show where Mahabubul Alam may publish in the future.
Co-authorship network of co-authors of Mahabubul Alam
This figure shows the co-authorship network connecting the top 25 collaborators of Mahabubul Alam. A scholar is included among the top collaborators of Mahabubul 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 Mahabubul Alam. Mahabubul Alam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 13 | |
| 5 | 11 | |
| 6 | 24 | |
| 7 | 18 | |
| 8 | 31 | |
| 9 | 5 | |
| 10 | 14 | |
| 11 | 6 | |
| 12 | 16 | |
| 13 | 47 | |
| 14 | 16 | |
| 15 | COMBUSTION CHARACTERIZATION OF GTL DIESEL FUEL | 2 |
| 16 | 26 | |
| 17 | 45 | |
| 18 | 32 | |
| 19 | REACTION OF MOLTEN KCN WITH CO-N//2 GAS MIXTURES. | 1 |
| 20 | 5 |
About Mahabubul Alam
Mahabubul Alam is a scholar working on Fluid Flow and Transfer Processes, Fuel Technology and Catalysis, having authored 53 papers that have together received 1.8k indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (19 papers), Quantum Information and Cryptography (16 papers) and Catalytic Processes in Materials Science (13 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (856 citations), Automotive Engineering (350 citations) and Biomedical Engineering (879 citations). Mahabubul Alam has collaborated with scholars based in United States, Japan and India. Frequent co-authors include André L. Boehman, Juhun Song, Swaroop Ghosh, James P. Szybist, Abdullah Ash Saki, Tarique Ahmad, Kafeel Ahmad, Ragini Acharya, T. DebRoy and Ujjwal Guin. Their work appears in journals such as Carbon, Fuel and Energy & Fuels.
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.