Edy Soewono

1.4k total citations
106 papers, 1.0k citations indexed

About

Edy Soewono is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Infectious Diseases. According to data from OpenAlex, Edy Soewono has authored 106 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Public Health, Environmental and Occupational Health, 32 papers in Modeling and Simulation and 20 papers in Infectious Diseases. Recurrent topics in Edy Soewono's work include Mosquito-borne diseases and control (35 papers), Mathematical and Theoretical Epidemiology and Ecology Models (32 papers) and COVID-19 epidemiological studies (28 papers). Edy Soewono is often cited by papers focused on Mosquito-borne diseases and control (35 papers), Mathematical and Theoretical Epidemiology and Ecology Models (32 papers) and COVID-19 epidemiological studies (28 papers). Edy Soewono collaborates with scholars based in Indonesia, United States and Germany. Edy Soewono's co-authors include Nuning Nuraini, Asep K. Supriatna, Dipo Aldila, Thomas Götz, Kuntjoro Adji Sidarto, Hengki Tasman, Windarto Windarto, Stephan A. van Gils, R. N. Mohapatra and K. Vajravelu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Medical Internet Research and Journal of Mathematical Analysis and Applications.

In The Last Decade

Edy Soewono

96 papers receiving 994 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Edy Soewono Indonesia 18 591 449 229 129 105 106 1.0k
Emile Franc Doungmo Goufo South Africa 28 638 1.1× 1.7k 3.9× 157 0.7× 60 0.5× 82 0.8× 102 2.3k
S. Alonso‐Quesada Spain 21 709 1.2× 757 1.7× 142 0.6× 95 0.7× 17 0.2× 122 1.3k
Ali Raza Pakistan 23 828 1.4× 969 2.2× 184 0.8× 14 0.1× 23 0.2× 153 1.5k
Md. Haider Ali Biswas Bangladesh 13 232 0.4× 271 0.6× 115 0.5× 28 0.2× 13 0.1× 78 632
Benjamín Ivorra Spain 18 250 0.4× 536 1.2× 287 1.3× 37 0.3× 11 0.1× 62 1.2k
Konstantin B. Blyuss United Kingdom 22 639 1.1× 528 1.2× 171 0.7× 7 0.1× 52 0.5× 66 1.4k
M. A. Aziz-Alaoui France 22 1.4k 2.4× 693 1.5× 96 0.4× 24 0.2× 30 0.3× 102 2.4k
Yuliya N. Kyrychko United Kingdom 20 396 0.7× 397 0.9× 64 0.3× 8 0.1× 60 0.6× 48 1.1k
C. A. Vargas Mexico 7 344 0.6× 281 0.6× 106 0.5× 17 0.1× 20 0.2× 13 605
Stefano Miccoli Italy 11 167 0.3× 743 1.7× 246 1.1× 8 0.1× 119 1.1× 24 1.2k

Countries citing papers authored by Edy Soewono

Since Specialization
Citations

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

Fields of papers citing papers by Edy Soewono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edy Soewono

This figure shows the co-authorship network connecting the top 25 collaborators of Edy Soewono. A scholar is included among the top collaborators of Edy Soewono 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 Edy Soewono. Edy Soewono 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.
2.
Aldila, Dipo, et al.. (2023). A tuberculosis epidemic model as a proxy for the assessment of the novel M72/AS01E vaccine. Communications in Nonlinear Science and Numerical Simulation. 120. 107162–107162. 11 indexed citations
3.
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
4.
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
5.
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
6.
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
7.
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
8.
Soewono, Edy, et al.. (2020). Causality Analysis of Google Trends and Dengue Incidence in Bandung, Indonesia With Linkage of Digital Data Modeling: Longitudinal Observational Study. Journal of Medical Internet Research. 22(7). e17633–e17633. 18 indexed citations
9.
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
10.
Soewono, Edy, et al.. (2015). A Solution Method for Airline Crew Recovery Problems. International Journal of Applied Mathematics & Statistics. 53(4). 137–149. 4 indexed citations
11.
Aldila, Dipo, et al.. (2015). A Mathematical Model of Black Rhino Translocation Strategy. SHILAP Revista de lepidopterología. 47(1). 104–115. 3 indexed citations
12.
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
13.
Soewono, Edy, et al.. (2014). Optimization Model for an Airline Crew Rostering Problem: Case of Garuda Indonesia. Journal of Mathematical and Fundamental Sciences. 43(3). 218–234. 11 indexed citations
14.
Nevai, Andrew L. & Edy Soewono. (2013). A model for the spatial transmission of dengue with daily movement between villages and a city. Mathematical Medicine and Biology A Journal of the IMA. 31(2). 150–178. 21 indexed citations
15.
Aldila, Dipo, Thomas Götz, & Edy Soewono. (2012). An optimal control problem arising from a dengue disease transmission model. Mathematical Biosciences. 242(1). 9–16. 79 indexed citations
16.
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
17.
Groesen, E. van, et al.. (1999). NONLINEAR EFFECTS IN BICHROMATIC SURFACE WAVES. Proceedings of the Estonian Academy of Sciences Physics Mathematics. 48(3/4). 206–229. 2 indexed citations
18.
Vajravelu, K., R. N. Mohapatra, & Edy Soewono. (1993). Some Second Order Nonlinear Systems Arising in Natural Convection Heat Transfer. Journal of Mathematical Analysis and Applications. 176(2). 346–358. 6 indexed citations
19.
Soewono, Edy, et al.. (1991). Existence and nonuniqueness of solutions of a singular nonlinear boundary-layer problem. Journal of Mathematical Analysis and Applications. 159(1). 251–270. 15 indexed citations
20.
Soewono, Edy, et al.. (1991). On solutions of some singular, non-Linear differential equations arising in boundary layer theory. Journal of Mathematical Analysis and Applications. 155(2). 499–512. 17 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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