Gegar Prasetya

1.2k total citations
36 papers, 910 citations indexed

About

Gegar Prasetya is a scholar working on Geophysics, Geology and Atmospheric Science. According to data from OpenAlex, Gegar Prasetya has authored 36 papers receiving a total of 910 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Geophysics, 17 papers in Geology and 7 papers in Atmospheric Science. Recurrent topics in Gegar Prasetya's work include earthquake and tectonic studies (29 papers), Geological and Geophysical Studies (17 papers) and Earthquake Detection and Analysis (5 papers). Gegar Prasetya is often cited by papers focused on earthquake and tectonic studies (29 papers), Geological and Geophysical Studies (17 papers) and Earthquake Detection and Analysis (5 papers). Gegar Prasetya collaborates with scholars based in Indonesia, New Zealand and United States. Gegar Prasetya's co-authors include Brian G. McAdoo, L. Dengler, В. В. Титов, Terry R. Healy, Willem P. de Lange, Semeidi Husrin, Rahman Hidayat, Efim Pelinovsky, Widjo Kongko and John Beavan and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Geophysical Journal International.

In The Last Decade

Gegar Prasetya

32 papers receiving 877 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gegar Prasetya Indonesia 15 637 248 169 162 115 36 910
Widjo Kongko Indonesia 16 869 1.4× 304 1.2× 290 1.7× 240 1.5× 159 1.4× 54 1.2k
Hamzah Latief Indonesia 13 540 0.8× 241 1.0× 112 0.7× 110 0.7× 113 1.0× 32 810
Sutikno Bronto Indonesia 12 586 0.9× 241 1.0× 228 1.3× 131 0.8× 52 0.5× 41 949
Abdul Muhari Indonesia 13 369 0.6× 149 0.6× 75 0.4× 149 0.9× 100 0.9× 22 717
Jonathan Griffin Australia 16 545 0.9× 121 0.5× 125 0.7× 68 0.4× 126 1.1× 39 739
William Power New Zealand 12 590 0.9× 82 0.3× 266 1.6× 112 0.7× 189 1.6× 26 733
Eko Yulianto Indonesia 14 511 0.8× 156 0.6× 386 2.3× 193 1.2× 59 0.5× 82 882
J. F. B. D. Fonseca Portugal 19 634 1.0× 70 0.3× 239 1.4× 76 0.5× 130 1.1× 40 994
Nikos Kalligeris United States 16 799 1.3× 71 0.3× 377 2.2× 307 1.9× 168 1.5× 43 1.2k
L. Dengler United States 19 843 1.3× 70 0.3× 274 1.6× 184 1.1× 246 2.1× 53 1.2k

Countries citing papers authored by Gegar Prasetya

Since Specialization
Citations

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

Fields of papers citing papers by Gegar Prasetya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gegar Prasetya

This figure shows the co-authorship network connecting the top 25 collaborators of Gegar Prasetya. A scholar is included among the top collaborators of Gegar Prasetya 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 Gegar Prasetya. Gegar Prasetya 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.
Adytia, Didit, et al.. (2024). A deep learning approach for wind downscaling using spatially correlated global wind data. International Journal of Data Science and Analytics. 20(3). 2721–2735. 1 indexed citations
3.
Song, Y. Tony, Kejie Chen, & Gegar Prasetya. (2023). Tsunami Genesis of Strike-Slip Earthquakes Revealed in the 2018 Indonesian Palu Event. Pure and Applied Geophysics. 180(6). 1909–1923. 1 indexed citations
4.
Triyoso, Wahyu, Widjo Kongko, Gegar Prasetya, & Dina A. Sarsito. (2023). Spatial correlation of the maximum shear strain loading rate and the correlation dimension along the Sumatra subduction margin for potential earthquake and tsunami hazard study and analysis. SHILAP Revista de lepidopterología. 35(1). 287–301. 3 indexed citations
5.
Adytia, Didit, et al.. (2023). Modelling of Deep Learning-Based Downscaling for Wave Forecasting in Coastal Area. Water. 15(1). 204–204. 11 indexed citations
6.
Doğan, Gözde Güney, Alessandro Annunziato, Rahman Hidayat, et al.. (2021). Numerical Simulations of December 22, 2018 Anak Krakatau Tsunami and Examination of Possible Submarine Landslide Scenarios. Pure and Applied Geophysics. 178(1). 1–20. 22 indexed citations
7.
Liu, Philip L.‐F., et al.. (2020). Coastal landslides in Palu Bay during 2018 Sulawesi earthquake and tsunami. Landslides. 17(9). 2085–2098. 59 indexed citations
8.
Bosserelle, Cyprien, et al.. (2020). Reassessment of Long-Term Tsunami Hazards in Samoa Based on Sedimentary Signatures. Geosciences. 10(12). 481–481. 6 indexed citations
9.
Borrero, J. C., Tubagus Solihuddin, Hermann M. Fritz, et al.. (2020). Field Survey and Numerical Modelling of the December 22, 2018 Anak Krakatau Tsunami. Pure and Applied Geophysics. 177(6). 2457–2475. 44 indexed citations
10.
Annunziato, Alessandro, Gegar Prasetya, & Semeidi Husrin. (2019). ANAK KRAKATAU VOLCANO EMERGENCY TSUNAMI EARLY WARNING SYSTEM. SHILAP Revista de lepidopterología. 9 indexed citations
11.
Prasetya, Gegar, et al.. (2019). The 22nd December 2018 Anak Krakatau Tsunami in Sunda Straits, Indonesia. EGU General Assembly Conference Abstracts. 12276. 2 indexed citations
12.
Zaytsev, Andrey, Efim Pelinovsky, Gegar Prasetya, et al.. (2019). Generation of the 2018 Tsunami on Sulawesi Island: Possible Sources. Doklady Earth Sciences. 486(1). 588–592. 4 indexed citations
13.
Fritz, Hermann M., et al.. (2018). Field survey of the 28 September 2018 Sulawesi tsunami. AGU Fall Meeting Abstracts. 2018. 4 indexed citations
14.
Prasetya, Gegar, Catherine Chagué‐Goff, James Goff, et al.. (2011). Characterising diagnostic proxies for identifying palaeotsunamis in a tropical climatic regime, Samoan Islands. The Australian Nuclear Science and Technology Organisation Institutional Repository (The Australian Nuclear Science and Technology Organisation). 1–10. 11 indexed citations
15.
Prasetya, Gegar, J. C. Borrero, Willem P. de Lange, Kerry Black, & Terry R. Healy. (2011). Modeling of inundation dynamics on Banda Aceh, Indonesia during the great Sumatra tsunamis December 26, 2004. Natural Hazards. 58(3). 1029–1055. 14 indexed citations
16.
Beavan, John, Xiaoming Wang, Caroline Holden, et al.. (2010). Near-simultaneous great earthquakes at Tongan megathrust and outer rise in September 2009. Nature. 466(7309). 959–963. 98 indexed citations
17.
Fry, Bill, Stephen Bannister, John Beavan, et al.. (2010). The Mw 7.6 Dusky Sound earthquake of 2009. Bulletin of the New Zealand Society for Earthquake Engineering. 43(1). 24–40. 20 indexed citations
18.
Borrero, J. C., Brian G. McAdoo, Bruce E. Jaffe, et al.. (2010). Field Survey of the March 28, 2005 Nias-Simeulue Earthquake and Tsunami. Pure and Applied Geophysics. 168(6-7). 1075–1088. 30 indexed citations
19.
20.
Pelinovsky, Efim, et al.. (1997). The 1996 Sulawesi Tsunami. Natural Hazards. 16(1). 29–38. 48 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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