Md Tamjidul Hoque
- Molecular Biology
- Artificial Intelligence top 10%
- Materials Chemistry
- Computational Theory and Mathematics top 5%
- Civil and Structural Engineering
- Co-authors
- Avdesh MishraSumaiya IqbalAbdul SattarMadhu ChettyMahdi AbdelguerfiMahmood A. RashidLaurence S. DooleyAndrew Lewis
- Topics
- Machine Learning in Bioinformatics (39 papers)Protein Structure and Dynamics (36 papers)RNA and protein synthesis mechanisms (16 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsPLoS ONE
- Partner nations
- United StatesAustraliaBangladesh
In The Last Decade
Md Tamjidul Hoque
69 papers receiving 914 citations
Peers
Comparison fields: 5 of 115
- Molecular Biology 573
- Artificial Intelligence 137
- Materials Chemistry 107
- Computational Theory and Mathematics 92
- Civil and Structural Engineering 51
Countries citing papers authored by Md Tamjidul Hoque
This map shows the geographic impact of Md Tamjidul Hoque'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 Md Tamjidul Hoque with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Md Tamjidul Hoque more than expected).
Fields of papers citing papers by Md Tamjidul Hoque
This network shows the impact of papers produced by Md Tamjidul Hoque. 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 Md Tamjidul Hoque. The network helps show where Md Tamjidul Hoque may publish in the future.
Co-authorship network of co-authors of Md Tamjidul Hoque
This figure shows the co-authorship network connecting the top 25 collaborators of Md Tamjidul Hoque. A scholar is included among the top collaborators of Md Tamjidul Hoque 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 Md Tamjidul Hoque. Md Tamjidul Hoque is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 12 | |
| 9 | 6 | |
| 10 | 10 | |
| 11 | 29 | |
| 12 | 7 | |
| 13 | Human Machine Learning Symbiosis. | 6 |
| 14 | 8 | |
| 15 | 17 | |
| 16 | 26 | |
| 17 | 2 | |
| 18 | 3 | |
| 19 | 43 | |
| 20 | Fast computation of the fitness function for protein folding prediction in a 2D hydrophilic-hydrophobic model | 1 |
About Md Tamjidul Hoque
Md Tamjidul Hoque is a scholar working on Molecular Biology, Developmental Biology and Artificial Intelligence, having authored 79 papers that have together received 930 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (39 papers), Protein Structure and Dynamics (36 papers) and RNA and protein synthesis mechanisms (16 papers). The work is most often cited by research in Molecular Biology (573 citations), Computational Theory and Mathematics (92 citations) and Artificial Intelligence (137 citations). Md Tamjidul Hoque has collaborated with scholars based in United States, Australia and Bangladesh. Frequent co-authors include Avdesh Mishra, Sumaiya Iqbal, Abdul Sattar, Madhu Chetty, Mahdi Abdelguerfi, Mahmood A. Rashid, Laurence S. Dooley, Andrew Lewis, Firas Khatib and Vicky M. Avery. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.
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.