Romulus Costache

8.2k total citations · 4 hit papers
132 papers, 6.3k citations indexed

About

Romulus Costache is a scholar working on Global and Planetary Change, Water Science and Technology and Environmental Engineering. According to data from OpenAlex, Romulus Costache has authored 132 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Global and Planetary Change, 65 papers in Water Science and Technology and 41 papers in Environmental Engineering. Recurrent topics in Romulus Costache's work include Flood Risk Assessment and Management (86 papers), Hydrology and Watershed Management Studies (57 papers) and Hydrology and Drought Analysis (38 papers). Romulus Costache is often cited by papers focused on Flood Risk Assessment and Management (86 papers), Hydrology and Watershed Management Studies (57 papers) and Hydrology and Drought Analysis (38 papers). Romulus Costache collaborates with scholars based in Romania, India and Vietnam. Romulus Costache's co-authors include Quoc Bao Pham, Dieu Tien Bui, Nguyễn Thị Thùy Linh, Haoyuan Hong, Matej Vojtek, Jana Vojteková, Alireza Arabameri, Binh Thai Pham, Hoang Nguyen and Liliana Zaharia and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Cleaner Production.

In The Last Decade

Romulus Costache

126 papers receiving 6.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A novel deep learning neural network approach for predicting flash flood susceptibility: A case study at a high frequency tropical storm area

2019 309 citations Romulus Costache et al. profile →
Application of remote sensing and machine learning algorithms for forest fire mapping in a Mediterranean area

2021 223 citations Romulus Costache, Quoc Bao Pham et al. profile →
Flash-flood susceptibility mapping based on XGBoost, random forest and boosted regression trees

2021 198 citations Romulus Costache, Quoc Bao Pham et al. Geocarto International profile →
Predictive modeling of land surface temperature (LST) based on Landsat-8 satellite data and machine learning models for sustainable development

2024 60 citations Chaitanya B. Pande, Johnbosco C. Egbueri et al. Journal of Cleaner Production profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Romulus Costache Romania	45	4.6k	2.5k	2.0k	1.4k	918	132	6.3k
Quoc Bao Pham Vietnam	50	4.6k 1.0×	3.2k 1.3×	3.2k 1.6×	1.3k 0.9×	1.1k 1.2×	236	8.4k
Kamran Chapi Iran	32	4.1k 0.9×	1.8k 0.7×	1.6k 0.8×	2.1k 1.6×	839 0.9×	45	5.6k
Mahyat Shafapour Tehrany Malaysia	27	4.3k 0.9×	2.1k 0.8×	1.7k 0.9×	1.4k 1.1×	914 1.0×	41	5.4k
Mahdi Panahi Iran	41	4.2k 0.9×	1.7k 0.7×	2.0k 1.0×	2.6k 1.9×	1.1k 1.2×	79	6.8k
Seyed Amir Naghibi Iran	30	2.7k 0.6×	1.7k 0.7×	2.5k 1.2×	1.1k 0.8×	372 0.4×	48	4.6k
Khabat Khosravi Iran	47	5.4k 1.2×	3.3k 1.3×	3.2k 1.6×	2.4k 1.8×	1.2k 1.3×	112	8.7k
Ataollah Shirzadi Iran	46	5.6k 1.2×	2.2k 0.9×	2.0k 1.0×	3.3k 2.4×	1.3k 1.4×	57	7.7k
Omid Rahmati Iran	48	5.7k 1.2×	3.5k 1.4×	4.2k 2.1×	1.7k 1.3×	927 1.0×	81	8.8k
Alireza Arabameri Iran	50	3.6k 0.8×	1.8k 0.7×	2.1k 1.1×	1.8k 1.3×	596 0.6×	111	5.7k
Baharin Bin Ahmad Malaysia	47	4.3k 0.9×	1.4k 0.6×	1.8k 0.9×	3.2k 2.4×	1.1k 1.2×	84	6.9k

Countries citing papers authored by Romulus Costache

Since Specialization

Citations

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

Fields of papers citing papers by Romulus Costache

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Romulus Costache

This figure shows the co-authorship network connecting the top 25 collaborators of Romulus Costache. A scholar is included among the top collaborators of Romulus Costache 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 Romulus Costache. Romulus Costache is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Bianchi, Simona, Romulus Costache, Alessandra Luna-Navarro, et al.. (2025). Resilience Readiness Levels for buildings: Establishing multi-hazard resilience metrics and rating systems. International Journal of Disaster Risk Reduction. 128. 105746–105746.

Pande, Chaitanya B., Johnbosco C. Egbueri, Romulus Costache, et al.. (2024). Predictive modeling of land surface temperature (LST) based on Landsat-8 satellite data and machine learning models for sustainable development. Journal of Cleaner Production. 444. 141035–141035. 60 indexed citations breakdown →

Sarkar, Mriganka Shekhar, Arun Pratap Mishra, Romulus Costache, et al.. (2024). Spatiotemporal snowline status and climate variability impact assessment: a case study of Pindari River Basin, Kumaun Himalaya, India. Environmental Sciences Europe. 36(1). 1 indexed citations

Le, Hiep Van, et al.. (2024). Landslide Susceptibility Mapping Using RBFN-Based Ensemble Machine Learning Models. Computer Modeling in Engineering & Sciences. 142(1). 467–500.

Pal, Subodh Chandra, Rabin Chakrabortty, Abu Reza Md. Towfiqul Islam, et al.. (2023). Land use and climate change-induced soil erosion mapping in a sub-tropical environment. Geomatics Natural Hazards and Risk. 14(1). 8 indexed citations

Jannat, Jannatun Nahar, Md Yousuf Mia, Most. Mastura Munia Farjana Jion, et al.. (2023). Pollution trends and ecological risks of heavy metal(loid)s in coastal zones of Bangladesh: A chemometric review. Marine Pollution Bulletin. 191. 114960–114960. 55 indexed citations

Chandra, Naveen, Gajendra Singh, Arun Pratap Mishra, et al.. (2023). Predicting Distribution and Range Dynamics of Three Threatened Cypripedium Species under Climate Change Scenario in Western Himalaya. Forests. 14(3). 633–633. 10 indexed citations

Pande, Chaitanya B., et al.. (2023). Sustainable Water Management for Small Farmers with Center-Pivot Irrigation: A Hydraulic and Structural Design Perspective. Sustainability. 15(23). 16390–16390. 8 indexed citations

Tuyen, Tran Thi, et al.. (2023). Prediction of white spot disease susceptibility in shrimps using decision trees based machine learning models. Applied Water Science. 14(1). 5 indexed citations

10.

Balaji, S., Jean Homian Danumah, Romulus Costache, et al.. (2023). Landslide Susceptibility Assessment of a Part of the Western Ghats (India) Employing the AHP and F-AHP Models and Comparison with Existing Susceptibility Maps. Land. 12(2). 468–468. 44 indexed citations

11.

Arabameri, Alireza, et al.. (2022). Land subsidence susceptibility assessment using advanced artificial intelligence models. Geocarto International. 37(27). 18067–18093. 10 indexed citations

12.

Hiếu, Nguyễn Minh, Tran Van Phong, Mahdis Amiri, et al.. (2021). Exploring novel hybrid soft computing models for landslide susceptibility mapping in Son La hydropower reservoir basin. Geomatics Natural Hazards and Risk. 12(1). 1688–1714. 13 indexed citations

13.

Costache, Romulus, Alireza Arabameri, Thomas Blaschke, et al.. (2021). Flash-Flood Potential Mapping Using Deep Learning, Alternating Decision Trees and Data Provided by Remote Sensing Sensors. Sensors. 21(1). 280–280. 62 indexed citations

14.

Costache, Romulus, Alireza Arabameri, Hossein Moayedi, et al.. (2021). Flash-flood potential index estimation using fuzzy logic combined with deep learning neural network, naïve Bayes, XGBoost and classification and regression tree. Geocarto International. 37(23). 6780–6807. 34 indexed citations

15.

Pham, Binh Thai, Vu Duy Vinh, Romulus Costache, et al.. (2021). Landslide susceptibility mapping using state-of-the-art machine learning ensembles. Geocarto International. 37(18). 5175–5200. 39 indexed citations

16.

Costache, Romulus, Ismail Elkhrachy, Quoc Bao Pham, et al.. (2020). New neural fuzzy-based machine learning ensemble for enhancing the prediction accuracy of flood susceptibility mapping. Hydrological Sciences Journal. 65(16). 2816–2837. 61 indexed citations

17.

Costache, Romulus, Quoc Bao Pham, Haoyuan Hong, et al.. (2020). Using GIS, Remote Sensing, and Machine Learning to Highlight the Correlation between the Land-Use/Land-Cover Changes and Flash-Flood Potential. Remote Sensing. 12(9). 1422–1422. 59 indexed citations

18.

Wang, Yi, Haoyuan Hong, Wei Chen, et al.. (2019). Flood susceptibility mapping in Dingnan County (China) using adaptive neuro-fuzzy inference system with biogeography based optimization and imperialistic competitive algorithm. Journal of Environmental Management. 247. 712–729. 209 indexed citations

19.

Costache, Romulus, et al.. (2013). THE SNOW DRIFT POTENTIAL IN THE PLAIN AREA OF BUZĂU COUNTY. SHILAP Revista de lepidopterología.

20.

Costache, Romulus, et al.. (2013). Using GIS techniques for surface runoff potential analysis in the Subcarpathian area between Buzãu and Slãnic rivers, in Romania. SHILAP Revista de lepidopterología. 3 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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