Nuning Nuraini

987 total citations
79 papers, 632 citations indexed

About

Nuning Nuraini is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Infectious Diseases. According to data from OpenAlex, Nuning Nuraini has authored 79 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Public Health, Environmental and Occupational Health, 37 papers in Modeling and Simulation and 28 papers in Infectious Diseases. Recurrent topics in Nuning Nuraini's work include COVID-19 epidemiological studies (37 papers), Mosquito-borne diseases and control (28 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (22 papers). Nuning Nuraini is often cited by papers focused on COVID-19 epidemiological studies (37 papers), Mosquito-borne diseases and control (28 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (22 papers). Nuning Nuraini collaborates with scholars based in Indonesia, United Kingdom and United Arab Emirates. Nuning Nuraini's co-authors include Edy Soewono, H. Susanto, Kuntjoro Adji Sidarto, Hengki Tasman, Bony Wiem Lestari, Dipo Aldila, Agus Hasan, Malaysian Mathematical, Ardhasena Sopaheluwakan and Asep K. Supriatna and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Ecological Modelling.

In The Last Decade

Nuning Nuraini

69 papers receiving 613 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nuning Nuraini Indonesia 15 373 360 186 79 72 79 632
Meksianis Z. Ndii Indonesia 18 325 0.9× 513 1.4× 163 0.9× 66 0.8× 26 0.4× 56 875
Charin Modchang Thailand 14 199 0.5× 241 0.7× 248 1.3× 21 0.3× 105 1.5× 58 748
Deepa Pindolia United States 15 196 0.5× 379 1.1× 92 0.5× 69 0.9× 127 1.8× 15 753
Guanghu Zhu China 17 360 1.0× 489 1.4× 191 1.0× 104 1.3× 124 1.7× 49 854
Juhua Liang China 14 238 0.6× 399 1.1× 95 0.5× 70 0.9× 31 0.4× 25 792
Dipo Aldila Indonesia 18 747 2.0× 813 2.3× 275 1.5× 57 0.7× 83 1.2× 122 1.1k
Sheng‐Qun Deng China 13 95 0.3× 208 0.6× 380 2.0× 63 0.8× 58 0.8× 26 844
Aili Wang China 10 234 0.6× 260 0.7× 70 0.4× 71 0.9× 52 0.7× 34 530
Natsuko Imai United Kingdom 15 370 1.0× 440 1.2× 453 2.4× 48 0.6× 109 1.5× 40 903
Max S. Y. Lau United States 12 413 1.1× 102 0.3× 252 1.4× 33 0.4× 186 2.6× 23 631

Countries citing papers authored by Nuning Nuraini

Since Specialization
Citations

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

Fields of papers citing papers by Nuning Nuraini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nuning Nuraini. 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 Nuning Nuraini. The network helps show where Nuning Nuraini may publish in the future.

Co-authorship network of co-authors of Nuning Nuraini

This figure shows the co-authorship network connecting the top 25 collaborators of Nuning Nuraini. A scholar is included among the top collaborators of Nuning Nuraini 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 Nuning Nuraini. Nuning Nuraini 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.
Nuraini, Nuning, et al.. (2024). Seasonal pattern of dengue infection in Singapore: A mechanism-based modeling and prediction. Ecological Modelling. 501. 111003–111003.
2.
Nuraini, Nuning, et al.. (2024). The epidemic forest reveals the spatial pattern of the spread of acute respiratory infections in Jakarta, Indonesia. Scientific Reports. 14(1). 7619–7619. 1 indexed citations
3.
Nuraini, Nuning, et al.. (2023). Epidemiological modeling of Influenza-Like Illness (ILI) transmission in Jakarta, Indonesia through cumulative generating operator on SLIR model. SHILAP Revista de lepidopterología. 5(4). 135–145. 4 indexed citations
4.
Nuraini, Nuning, et al.. (2023). A study on Zika–Dengue coinfection model with microcephaly newborn dynamics. Chaos Solitons & Fractals. 175. 114019–114019. 2 indexed citations
5.
6.
Nuraini, Nuning, et al.. (2022). Temporal trend and spatial clustering of the dengue fever prevalence in West Java, Indonesia. Heliyon. 8(8). e10350–e10350. 12 indexed citations
7.
Hasan, Agus, et al.. (2022). A new estimation method for COVID-19 time-varying reproduction number using active cases. Scientific Reports. 12(1). 6675–6675. 21 indexed citations
8.
Teh, Su Yean, et al.. (2021). Dengue epidemiological characteristic in Kuala Lumpur and Selangor, Malaysia. Mathematics and Computers in Simulation. 194. 489–504. 16 indexed citations
9.
Nuraini, Nuning, et al.. (2021). Climate-based dengue model in Semarang, Indonesia: Predictions and descriptive analysis. Infectious Disease Modelling. 6. 598–611. 39 indexed citations
10.
Nuraini, Nuning, et al.. (2021). Dynamical analysis of two-pathogen coinfection in influenza and other respiratory diseases. Chaos Solitons & Fractals. 155. 111727–111727. 8 indexed citations
11.
Hasan, Agus, et al.. (2021). Data-driven modeling and forecasting of COVID-19 outbreak for public policy making. ISA Transactions. 124. 135–143. 23 indexed citations
12.
Sumiati, Sumiati, et al.. (2020). Investigation of a measles transmission with vaccination: a case study in Jakarta, Indonesia. Mathematical Biosciences & Engineering. 17(4). 2998–3018. 14 indexed citations
13.
Susanto, H., et al.. (2019). Turing Patterns of Non-linear S-I Model on Random and Real-Structure Networks with Diarrhea Data. Scientific Reports. 9(1). 8892–8892. 9 indexed citations
14.
Nuraini, Nuning, et al.. (2017). Modeling of dengue occurrences early warning involving temperature and rainfall factors. Asian Pacific Journal of Tropical Disease. 7(7). 385–390. 5 indexed citations
15.
Chirove, Faraimunashe, et al.. (2017). A model incorporating combined RTIs and PIs therapy during early HIV-1 infection. Mathematical Biosciences. 285. 102–111. 11 indexed citations
16.
Nuraini, Nuning, et al.. (2017). Modelling Multiple Dosing with Drug Holiday in Antiretroviral Treatment on HIV-1 Infection. Journal of Mathematical and Fundamental Sciences. 49(1). 1–17. 5 indexed citations
17.
Nuraini, Nuning, et al.. (2016). Optimal Vaccination and Treatment Schedules in a Deterministic Avian influenza Model. Journal of Mathematical and Fundamental Sciences. 48(2). 164–177. 1 indexed citations
18.
Nuraini, Nuning, et al.. (2016). Optimal Vaccination and Treatment Schedules in a Deterministic Avian influenza Model. Journal of Mathematical and Fundamental Sciences. 48(2). 164–177. 3 indexed citations
19.
Nuraini, Nuning, et al.. (2014). A Dynamical Model for Transmission of West Nile Virus in Chicken-Mosquito Interaction. Journal of Mathematical and Fundamental Sciences. 46(3). 290–300. 1 indexed citations
20.
Nuraini, Nuning, Hengki Tasman, Edy Soewono, & Kuntjoro Adji Sidarto. (2008). A with-in host Dengue infection model with immune response. Mathematical and Computer Modelling. 49(5-6). 1148–1155. 58 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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2026