Mutya Vonnisa

663 total citations
47 papers, 384 citations indexed

About

Mutya Vonnisa is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Mutya Vonnisa has authored 47 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Atmospheric Science, 22 papers in Global and Planetary Change and 9 papers in Environmental Engineering. Recurrent topics in Mutya Vonnisa's work include Precipitation Measurement and Analysis (33 papers), Meteorological Phenomena and Simulations (31 papers) and Climate variability and models (18 papers). Mutya Vonnisa is often cited by papers focused on Precipitation Measurement and Analysis (33 papers), Meteorological Phenomena and Simulations (31 papers) and Climate variability and models (18 papers). Mutya Vonnisa collaborates with scholars based in Indonesia, Japan and Malaysia. Mutya Vonnisa's co-authors include Marzuki Marzuki, Hiroyuki Hashiguchi, Helmi Yusnaini, Ravidho Ramadhan, Robi Muharsyah, Toyoshi Shimomai, Wiwit Suryanto, Harmadi Harmadi, Sholihun Sholihun and Fredolin Tangang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing and International Journal of Climatology.

In The Last Decade

Mutya Vonnisa

40 papers receiving 383 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mutya Vonnisa Indonesia 13 302 222 83 45 19 47 384
Martina Lagasio Italy 9 202 0.7× 165 0.7× 59 0.7× 32 0.7× 26 1.4× 30 267
Ulf Andrae Sweden 6 256 0.8× 211 1.0× 53 0.6× 65 1.4× 31 1.6× 8 328
Trevor I. Alcott United States 11 432 1.4× 396 1.8× 68 0.8× 29 0.6× 15 0.8× 20 513
Feimin Zhang China 12 300 1.0× 204 0.9× 79 1.0× 35 0.8× 25 1.3× 35 368
Mariken Homleid Norway 5 203 0.7× 142 0.6× 38 0.5× 49 1.1× 21 1.1× 6 251
Chong Wu China 9 393 1.3× 294 1.3× 58 0.7× 38 0.8× 18 0.9× 33 447
P. P. Alberoni Italy 13 453 1.5× 303 1.4× 125 1.5× 26 0.6× 50 2.6× 41 509
Abdulla Al Mandous United Arab Emirates 9 231 0.8× 263 1.2× 72 0.9× 18 0.4× 13 0.7× 17 335
Zhehui Shen China 9 196 0.6× 173 0.8× 63 0.8× 51 1.1× 20 1.1× 27 345
Jeffrey D. Duda United States 8 439 1.5× 431 1.9× 81 1.0× 17 0.4× 9 0.5× 9 505

Countries citing papers authored by Mutya Vonnisa

Since Specialization
Citations

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

Fields of papers citing papers by Mutya Vonnisa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mutya Vonnisa

This figure shows the co-authorship network connecting the top 25 collaborators of Mutya Vonnisa. A scholar is included among the top collaborators of Mutya Vonnisa 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 Mutya Vonnisa. Mutya Vonnisa 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
2.
Marzuki, Marzuki, Ravidho Ramadhan, Helmi Yusnaini, et al.. (2025). Future projections of extreme precipitation over Indonesia's new capital under climate change scenario using CORDEX-SEA regional climate models. Atmospheric Research. 327. 108389–108389. 1 indexed citations
3.
Yusnaini, Helmi, et al.. (2024). Land-sea contrast of vertical structure of precipitation over Sumatra revealed by GPM DPR observations. Atmospheric Research. 309. 107555–107555. 2 indexed citations
4.
Marzuki, Marzuki, et al.. (2024). Extreme Rainfall Trends and Hydrometeorological Disasters in Tropical Regions: Implications for Climate Resilience. Emerging Science Journal. 8(5). 1860–1874. 33 indexed citations
5.
Ramadhan, Ravidho, Marzuki Marzuki, Helmi Yusnaini, et al.. (2023). A Preliminary Assessment of the GSMaP Version 08 Products over Indonesian Maritime Continent against Gauge Data. Remote Sensing. 15(4). 1115–1115. 11 indexed citations
6.
Muharsyah, Robi, et al.. (2023). Validation of IMERG final precipitation product over Indonesia at multiple timescales. AIP conference proceedings. 2714. 20008–20008.
7.
Marzuki, Marzuki, et al.. (2023). Changes in Extreme Rainfall in New Capital of Indonesia (IKN) Based on 20 Years of GPM-IMERG Data. Trends in Sciences. 20(11). 6935–6935. 8 indexed citations
8.
Ramadhan, Ravidho, Helmi Yusnaini, Marzuki Marzuki, et al.. (2022). Evaluation of GPM IMERG Performance Using Gauge Data over Indonesian Maritime Continent at Different Time Scales. Remote Sensing. 14(5). 1172–1172. 47 indexed citations
9.
Ramadhan, Ravidho, Marzuki Marzuki, Helmi Yusnaini, et al.. (2022). Capability of GPM IMERG Products for Extreme Precipitation Analysis over the Indonesian Maritime Continent. Remote Sensing. 14(2). 412–412. 32 indexed citations
10.
Ramadhan, Ravidho, Marzuki Marzuki, Helmi Yusnaini, et al.. (2022). Ground Validation of GPM IMERG-F Precipitation Products with the Point Rain Gauge Records on the Extreme Rainfall Over a Mountainous Area of Sumatra Island. Jurnal Penelitian Pendidikan IPA. 8(1). 163–170. 16 indexed citations
11.
Marzuki, Marzuki, et al.. (2022). Comparison of vertical profile of raindrop size distribution from micro rain radar with global precipitation measurement over Western Java Island. Remote Sensing Applications Society and Environment. 29. 100885–100885. 4 indexed citations
12.
Vonnisa, Mutya, Toyoshi Shimomai, Hiroyuki Hashiguchi, & Marzuki Marzuki. (2022). Retrieval of Vertical Structure of Raindrop Size Distribution from Equatorial Atmosphere Radar and Boundary Layer Radar. Emerging Science Journal. 6(3). 448–459. 12 indexed citations
13.
Yusnaini, Helmi, Marzuki Marzuki, & Mutya Vonnisa. (2022). Intraseasonal Change in Diurnal Cycle of Precipitation over Sumatra from IMERG Observation. Journal of Physics Conference Series. 2309(1). 12033–12033.
14.
Yusnaini, Helmi, Ravidho Ramadhan, Marzuki Marzuki, et al.. (2021). Statistical Comparison of IMERG Precipitation Products with Optical Rain Gauge Observations over Kototabang, Indonesia. SHILAP Revista de lepidopterología. 14(1). 10–20. 12 indexed citations
15.
Marzuki, Marzuki, Helmi Yusnaini, Fredolin Tangang, et al.. (2021). Diurnal variation of precipitation from the perspectives of precipitation amount, intensity and duration over Sumatra from rain gauge observations. International Journal of Climatology. 41(8). 4386–4397. 31 indexed citations
17.
Vonnisa, Mutya, et al.. (2020). Pemanfaatan Data Alos PALSAR Untuk Etimasi Pergerakan Tanah Kota Padang Upaya Mitigasi Bencana Longsor. Jurnal Fisika Unand. 9(1). 93–99. 4 indexed citations
18.
Vonnisa, Mutya, et al.. (2019). Analisa Pola Temperatur Udara Permukaan di Sumatera Barat Tahun 1980 - 2017. Jurnal Fisika Unand. 8(1). 91–97.
20.
Marzuki, Marzuki, et al.. (2018). Z-R Relationships for Weather Radar in Indonesia from the Particle Size and Velocity (Parsivel) Optical Disdrometer. 2018 Progress in Electromagnetics Research Symposium (PIERS-Toyama). 37–41. 14 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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