Mohammad Farid

823 total citations
97 papers, 555 citations indexed

About

Mohammad Farid is a scholar working on Global and Planetary Change, Water Science and Technology and Civil and Structural Engineering. According to data from OpenAlex, Mohammad Farid has authored 97 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Global and Planetary Change, 22 papers in Water Science and Technology and 20 papers in Civil and Structural Engineering. Recurrent topics in Mohammad Farid's work include Flood Risk Assessment and Management (42 papers), Hydrology and Watershed Management Studies (20 papers) and Water and Land Management (17 papers). Mohammad Farid is often cited by papers focused on Flood Risk Assessment and Management (42 papers), Hydrology and Watershed Management Studies (20 papers) and Water and Land Management (17 papers). Mohammad Farid collaborates with scholars based in Indonesia, Japan and United States. Mohammad Farid's co-authors include Keiko Udo, Mohammad Bagus Adityawan, Arno Adi Kuntoro, Muhammad Syahril Badri Kusuma, So Kazama, Shunichi Koshimura, Shuichi KURE, Akira Mano, Ikha Magdalena and Hitoshi Tanaka and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physics of Fluids and Natural Hazards.

In The Last Decade

Mohammad Farid

77 papers receiving 522 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammad Farid Indonesia 14 312 134 113 102 71 97 555
Fusanori Miura Japan 12 193 0.6× 59 0.4× 48 0.4× 78 0.8× 68 1.0× 44 447
Keh‐Chia Yeh Taiwan 12 185 0.6× 111 0.8× 106 0.9× 90 0.9× 68 1.0× 44 450
Ayub Mohammadi Iran 10 528 1.7× 180 1.3× 318 2.8× 161 1.6× 178 2.5× 13 767
Caterina Samela Italy 16 703 2.3× 478 3.6× 60 0.5× 164 1.6× 168 2.4× 29 825
Rodeano Roslee Malaysia 11 163 0.5× 56 0.4× 185 1.6× 45 0.4× 59 0.8× 65 405
Simone Frigerio Italy 11 177 0.6× 34 0.3× 224 2.0× 106 1.0× 35 0.5× 23 394
A. Rajaneesh India 15 340 1.1× 88 0.7× 253 2.2× 62 0.6× 136 1.9× 31 530
Kumar Gaurav India 16 219 0.7× 175 1.3× 115 1.0× 181 1.8× 301 4.2× 49 711
Sepideh Tavakkoli Piralilou Austria 11 575 1.8× 165 1.2× 409 3.6× 139 1.4× 186 2.6× 12 833
Kashif Ullah China 12 583 1.9× 210 1.6× 155 1.4× 146 1.4× 208 2.9× 20 714

Countries citing papers authored by Mohammad Farid

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Farid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Farid

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Farid. A scholar is included among the top collaborators of Mohammad Farid 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 Mohammad Farid. Mohammad Farid 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.
Kuntoro, Arno Adi, et al.. (2025). The ITB Unit Hydrograph Method: A Novel Approach to User-Defined Unit Hydrograph Development (Part II). Civil Engineering Journal. 11(5). 1980–2007.
2.
3.
KURE, Shuichi, et al.. (2025). Toward Sustainable Flood Resilience: Assessing Efficacy of Paddy Field Dams to Reduce Floods in Jakarta. Journal of Flood Risk Management. 18(1).
4.
5.
Farid, Mohammad, et al.. (2025). Spatial Modeling of High Flood Risk Region in the Cikapundung River Basin using HEC-RAS 2D Model: Enhancing Regional Mitigation Planning. IOP Conference Series Earth and Environmental Science. 1472(1). 12038–12038.
6.
Farid, Mohammad, et al.. (2024). An improved equation for potential discharge estimation in groundwater basin delineated watershed. Results in Engineering. 24. 103238–103238. 3 indexed citations
7.
Kusuma, Muhammad Syahril Badri, et al.. (2024). An overview of flood risk components: The Land subsidence case of Pekalongan City. SHILAP Revista de lepidopterología. 513. 1001–1001. 6 indexed citations
8.
Suppasri, Anawat, et al.. (2024). Improving Indonesia's tsunami early warning: Part I: Developing synthetic tsunami scenarios and initial deployment. Ocean Engineering. 316. 119892–119892. 3 indexed citations
9.
Adityawan, Mohammad Bagus, et al.. (2024). Economic Loss due to the Failure of a Cascade Dam: A Study Case in the Saguling-Cirata-Jatiluhur Dam. International Journal on Advanced Science Engineering and Information Technology. 14(1). 333–343.
10.
Adityawan, Mohammad Bagus, et al.. (2024). A Methodology for Water Resource Management and the Planning of the Coastal Reservoir in Indonesia. Water. 16(2). 344–344. 1 indexed citations
11.
Farid, Mohammad, et al.. (2024). Integrated Flood Countermeasures in the Delta Areas of Pangkalpinang City, Indonesia. Journal of Coastal Research. 116(sp1).
12.
Farid, Mohammad, et al.. (2023). Utilization of quantile mapping method using cumulative distribution function (CDF) to calibrated satellite rainfall GSMaP in Majalaya watershed. IOP Conference Series Earth and Environmental Science. 1165(1). 12006–12006. 4 indexed citations
13.
Farid, Mohammad, et al.. (2023). Jakarta’s 2020 New Year Flood Assessment with a Rainfall–Runoff–Inundation (RRI) Model. SHILAP Revista de lepidopterología. 100–100. 5 indexed citations
14.
Farid, Mohammad, et al.. (2023). Development of Infiltration Map Using Geographical Information System Based on Ground Test in Cisadane Watershed Indonesia. IOP Conference Series Earth and Environmental Science. 1203(1). 12014–12014.
15.
Farid, Mohammad, et al.. (2023). The Utilization of Satellite Data and Machine Learning for Predicting the Inundation Height in the Majalaya Watershed. Water. 15(17). 3026–3026. 10 indexed citations
16.
Kuntoro, Arno Adi, et al.. (2023). Study of sediment transport distribution pattern after normalization in the Majalaya Area, Citarum River. SHILAP Revista de lepidopterología. 467. 1028–1028. 2 indexed citations
17.
Farid, Mohammad, et al.. (2023). Study of Flood Risk Assessment on Banyumas and Cilacap District in Downstream Serayu River Basin, Indonesia. SHILAP Revista de lepidopterología. 30(2). 149–156. 2 indexed citations
18.
Adityawan, Mohammad Bagus, et al.. (2022). Effectiveness of an Elevated Road in Reducing Inundation Area of the Coast of Palu, Sulawesi, Indonesia. Journal of Disaster Research. 17(7). 1127–1139. 4 indexed citations
19.
Adityawan, Mohammad Bagus, et al.. (2019). Tsunami Overland Flow Characteristic and Its Effect on Palu Bay Due to the Palu Tsunami 2018. Journal of Earthquake and Tsunami. 14(2). 12 indexed citations
20.
Farid, Mohammad, Akira Mano, & Keiko Udo. (2012). Urban Flood Inundation Model for High Density Building Area. Journal of Disaster Research. 7(5). 554–559. 16 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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