Inge Revhaug

5.6k total citations · 5 hit papers
23 papers, 4.5k citations indexed

About

Inge Revhaug is a scholar working on Global and Planetary Change, Management, Monitoring, Policy and Law and Ocean Engineering. According to data from OpenAlex, Inge Revhaug has authored 23 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Global and Planetary Change, 13 papers in Management, Monitoring, Policy and Law and 5 papers in Ocean Engineering. Recurrent topics in Inge Revhaug's work include Landslides and related hazards (13 papers), Flood Risk Assessment and Management (11 papers) and Seismic Imaging and Inversion Techniques (4 papers). Inge Revhaug is often cited by papers focused on Landslides and related hazards (13 papers), Flood Risk Assessment and Management (11 papers) and Seismic Imaging and Inversion Techniques (4 papers). Inge Revhaug collaborates with scholars based in Norway, Vietnam and Malaysia. Inge Revhaug's co-authors include Dieu Tien Bui, Biswajeet Pradhan, Owe Löfman, Øystein B. Dick, Harald Klempe, Trần Anh Tuấn, Binh Thai Pham, Himan Shahabi, Ataollah Shirzadi and Kamran Chapi and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Remote Sensing.

In The Last Decade

Inge Revhaug

22 papers receiving 4.4k citations

Hit Papers

Spatial prediction models for shallow landslide hazards: ... 2012 2026 2016 2021 2015 2018 2012 2012 2016 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Inge Revhaug Norway 15 3.0k 2.9k 804 744 735 23 4.5k
Ali P. Yunus China 34 2.7k 0.9× 3.2k 1.1× 1.3k 1.6× 720 1.0× 657 0.9× 94 5.6k
Abolfazl Jaafari Iran 43 3.6k 1.2× 2.3k 0.8× 631 0.8× 1.3k 1.7× 464 0.6× 89 5.4k
Luigi Lombardo Netherlands 36 1.9k 0.6× 2.4k 0.9× 959 1.2× 713 1.0× 449 0.6× 116 3.7k
Kamran Chapi Iran 32 4.1k 1.4× 2.1k 0.7× 839 1.0× 1.6k 2.2× 484 0.7× 45 5.6k
Baharin Bin Ahmad Malaysia 47 4.3k 1.5× 3.2k 1.1× 1.1k 1.4× 1.8k 2.4× 797 1.1× 84 6.9k
Mahdi Panahi Iran 41 4.2k 1.4× 2.6k 0.9× 1.1k 1.3× 2.0k 2.7× 597 0.8× 79 6.8k
Paraskevas Tsangaratos Greece 20 1.7k 0.6× 1.6k 0.6× 519 0.6× 572 0.8× 460 0.6× 62 2.9k
Hakan A. Nefeslioğlu Türkiye 33 1.8k 0.6× 2.8k 1.0× 571 0.7× 349 0.5× 909 1.2× 70 4.4k
Aykut Akgün Türkiye 21 1.8k 0.6× 2.5k 0.9× 516 0.6× 285 0.4× 613 0.8× 40 3.1k
Shaojun Li China 46 1.9k 0.6× 3.0k 1.0× 503 0.6× 759 1.0× 678 0.9× 182 7.3k

Countries citing papers authored by Inge Revhaug

Since Specialization
Citations

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

Fields of papers citing papers by Inge Revhaug

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inge Revhaug

This figure shows the co-authorship network connecting the top 25 collaborators of Inge Revhaug. A scholar is included among the top collaborators of Inge Revhaug 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 Inge Revhaug. Inge Revhaug 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.
Fernandes, Antonio Carlos, et al.. (2019). Experimental Validation of Towed Underwater Cable Model. 1 indexed citations
2.
Revhaug, Inge, et al.. (2019). Position Prediction of Marine Seismic Streamer Cables Using Various Kalman Filter Methods. Journal of Offshore Mechanics and Arctic Engineering. 141(5). 3 indexed citations
3.
Khosravi, Khabat, Binh Thai Pham, Kamran Chapi, et al.. (2018). A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran. The Science of The Total Environment. 627. 744–755. 600 indexed citations breakdown →
4.
Revhaug, Inge, et al.. (2018). Comparison of Two Models for Prediction of Seismic Streamer State Using the Ensemble Kalman Filter. Journal of Offshore Mechanics and Arctic Engineering. 140(6). 4 indexed citations
6.
Revhaug, Inge, et al.. (2017). Utilizing the Ensemble Kalman Filter and Ensemble Kalman Smoother for Combined State and Parameter Estimation of a Three-Dimensional Towed Underwater Cable Model. Journal of Offshore Mechanics and Arctic Engineering. 139(6). 2 indexed citations
7.
Revhaug, Inge, et al.. (2017). Improved Ocean Current Estimation using a Seismic Streamer Model. OTC Brasil. 1 indexed citations
9.
Bui, Kien-Trinh Thi, et al.. (2016). A novel hybrid artificial intelligent approach based on neural fuzzy inference model and particle swarm optimization for horizontal displacement modeling of hydropower dam. Neural Computing and Applications. 29(12). 1495–1506. 99 indexed citations
10.
Bui, Dieu Tien, et al.. (2016). GIS-based modeling of rainfall-induced landslides using data mining-based functional trees classifier with AdaBoost, Bagging, and MultiBoost ensemble frameworks. Environmental Earth Sciences. 75(14). 271 indexed citations breakdown →
11.
Dou, Jie, Dieu Tien Bui, Ali P. Yunus, et al.. (2015). Optimization of Causative Factors for Landslide Susceptibility Evaluation Using Remote Sensing and GIS Data in Parts of Niigata, Japan. PLoS ONE. 10(7). e0133262–e0133262. 187 indexed citations
12.
Bui, Dieu Tien, Trần Anh Tuấn, Harald Klempe, Biswajeet Pradhan, & Inge Revhaug. (2015). Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree. Landslides. 13(2). 361–378. 1007 indexed citations breakdown →
13.
Bui, Dieu Tien, et al.. (2014). iGeoTrans – a novel iOS application for GPS positioning in geosciences. Geocarto International. 1–16. 13 indexed citations
14.
Bui, Dieu Tien, et al.. (2013). A novel hybrid evidential belief function-based fuzzy logic model in spatial prediction of rainfall-induced shallow landslides in the Lang Son city area (Vietnam). Geomatics Natural Hazards and Risk. 6(3). 243–271. 95 indexed citations
15.
Bui, Dieu Tien, Biswajeet Pradhan, Owe Löfman, Inge Revhaug, & Øystein B. Dick. (2012). Application of support vector machines in landslide susceptibility assessment for the Hoa Binh province (Vietnam) with kernel functions analysis. ScholarsArchive (Brigham Young University). 32 indexed citations
16.
Bui, Dieu Tien, Biswajeet Pradhan, Owe Löfman, Inge Revhaug, & Øystein B. Dick. (2012). Regional prediction of landslide hazard using probability analysis of intense rainfall in the Hoa Binh province, Vietnam. Natural Hazards. 66(2). 707–730. 130 indexed citations
17.
Bui, Dieu Tien, Biswajeet Pradhan, Owe Löfman, Inge Revhaug, & Øystein B. Dick. (2012). Landslide susceptibility assessment in the Hoa Binh province of Vietnam: A comparison of the Levenberg–Marquardt and Bayesian regularized neural networks. Geomorphology. 171-172. 12–29. 252 indexed citations
18.
Bui, Dieu Tien, Owe Löfman, Inge Revhaug, & Øystein B. Dick. (2011). Landslide susceptibility analysis in the Hoa Binh province of Vietnam using statistical index and logistic regression. Natural Hazards. 59(3). 1413–1444. 318 indexed citations
19.
Bui, Dieu Tien, Biswajeet Pradhan, Owe Löfman, Inge Revhaug, & Øystein B. Dick. (2011). Landslide susceptibility mapping at Hoa Binh province (Vietnam) using an adaptive neuro-fuzzy inference system and GIS. Computers & Geosciences. 45. 199–211. 327 indexed citations
20.
Revhaug, Inge. (1999). A MODEL FOR THE TRANSFORMATION OF SATELLITE VECTORS TO THE PLANE OF THE MAP.. Survey Review. 35(274). 277–285.

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