Hengki Tasman
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies 17
- Fractional Differential Equations Solutions 4
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- Mathematical and Theoretical Epidemiology and Ecology Models 26
- Mosquito-borne diseases and control 7
- Infectious Diseases top 10%
- Viral Infections and Vectors 5
- Parasitology top 10%
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- Evolution and Genetic Dynamics 10
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- Machine Learning in Bioinformatics 3
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- Mass Spectrometry Techniques and Applications 3
- Co-authors
- Fatmawati FatmawatiJ. BerkowitzW. A. ChupkaDipo AldilaEdy SoewonoHj. MatzkeA.J.H. BoerboomNuning Nuraini
- Cited by
- Modeling and SimulationPublic Health, Environmental and Occupational HealthInfectious Diseases
- Journals
- The Journal of Chemical Physics (1 paper)SHILAP Revista de lepidopterología (3 papers)Journal of Applied Physics (1 paper)
In The Last Decade
Hengki Tasman
49 papers receiving 700 citations
Peers
Comparison fields: 5 of 109
- Modeling and Simulation 242
- Public Health, Environmental and Occupational Health 364
- Infectious Diseases 133
- Parasitology 36
- Inorganic Chemistry 66
Countries citing papers authored by Hengki Tasman
This map shows the geographic impact of Hengki Tasman'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 Hengki Tasman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hengki Tasman more than expected).
Fields of papers citing papers by Hengki Tasman
This network shows the impact of papers produced by Hengki Tasman. 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 Hengki Tasman. The network helps show where Hengki Tasman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hengki Tasman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 11 | |
| 4 | 2022 | 22 | |
| 5 | 2021 | 4 | |
| 6 | 2021 | 3 | |
| 7 | 2021 | 46 | |
| 8 | 2021 | 7 | |
| 9 | 2019 | 43 | |
| 10 | 2017 | 9 | |
| 11 | 2015 | 34 | |
| 12 | 2015 | 37 | |
| 13 | Performance evaluation of fast smith-waterman algorithm for sequence database searches using CUDA GPU-based parallel computing | 2014 | 7 |
| 14 | 2012 | 9 | |
| 15 | Simulation of Influenza Pandemic Based on Genetic Algorithm and Agent-Based Modeling: A Multi-objective Optimization Problem Solving | 2010 | 2 |
| 16 | 2009 | 7 | |
| 17 | 2008 | 58 | |
| 18 | 1960 | 1 | |
| 19 | 1959 | 4 | |
| 20 | 1959 | 13 |
About Hengki Tasman
Hengki Tasman is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Infectious Diseases, having authored 52 papers that have together received 736 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (26 papers), COVID-19 epidemiological studies (17 papers), Evolution and Genetic Dynamics (10 papers), Mosquito-borne diseases and control (7 papers), Viral Infections and Vectors (5 papers), Fractional Differential Equations Solutions (4 papers), Machine Learning in Bioinformatics (3 papers) and Mass Spectrometry Techniques and Applications (3 papers). The work is most often cited by research in Modeling and Simulation (242 citations), Public Health, Environmental and Occupational Health (364 citations) and Infectious Diseases (133 citations). Hengki Tasman has collaborated with scholars based in Indonesia, Germany and Canada. Frequent co-authors include Fatmawati Fatmawati, J. Berkowitz, W. A. Chupka, Dipo Aldila, Edy Soewono, Hj. Matzke, A.J.H. Boerboom, Nuning Nuraini, R.A. Verrall and P.G. Lucuta. Their work appears in journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Journal of Applied Physics.
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.