M. J. Hossen

438 total citations
13 papers, 312 citations indexed

About

M. J. Hossen is a scholar working on Geophysics, Atmospheric Science and Ocean Engineering. According to data from OpenAlex, M. J. Hossen has authored 13 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Geophysics, 3 papers in Atmospheric Science and 2 papers in Ocean Engineering. Recurrent topics in M. J. Hossen's work include earthquake and tectonic studies (9 papers), Seismic Imaging and Inversion Techniques (8 papers) and Seismic Waves and Analysis (6 papers). M. J. Hossen is often cited by papers focused on earthquake and tectonic studies (9 papers), Seismic Imaging and Inversion Techniques (8 papers) and Seismic Waves and Analysis (6 papers). M. J. Hossen collaborates with scholars based in Australia, Japan and Bangladesh. M. J. Hossen's co-authors include Phil R. Cummins, Toshitaka Baba, Jan Dettmer, S. Allgeyer, Kentaro Imai, Toshihiro Kato, Hiroaki Tsushima, Kei Yamashita, Kenji Satake and Malcolm Sambridge and has published in prestigious journals such as Geophysical Research Letters, International Journal for Numerical Methods in Fluids and Pure and Applied Geophysics.

In The Last Decade

M. J. Hossen

13 papers receiving 303 citations

Peers

M. J. Hossen

GEOPH

Letizia Anderlini Italy

Sabrina Metzger Germany

E. C. Roland United States

И. А. Гарагаш Russia

C. Musumeci Italy

César Jiménez Peru

Thomas Plenefisch Germany

Richard Kellett New Zealand

Sergio Ortega Spain

Zongjin Ma China

Letizia Anderlini Italy

M. J. Hossen

441 ×1.7

GEOPH

45 ×0.6

42 ×0.9

34 ×0.9

11 ×0.4

Citations per year, relative to M. J. Hossen M. J. Hossen (= 1×) peers Letizia Anderlini

Countries citing papers authored by M. J. Hossen

Since Specialization

Citations

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

Fields of papers citing papers by M. J. Hossen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. J. Hossen. 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 M. J. Hossen. The network helps show where M. J. Hossen may publish in the future.

Co-authorship network of co-authors of M. J. Hossen

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

All Works

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13 of 13 papers shown

Hossen, M. J., Iyan E. Mulia, David Mencin, & A. F. Sheehan. (2021). Data Assimilation for Tsunami Forecast With Ship‐Borne GNSS Data in the Cascadia Subduction Zone. Earth and Space Science. 8(3). 7 indexed citations

Hossen, M. J., A. F. Sheehan, & Kenji Satake. (2020). A Multi-fault Model Estimation from Tsunami Data: An Application to the 2018 M7.9 Kodiak Earthquake. Pure and Applied Geophysics. 177(3). 1335–1346. 4 indexed citations

Mulia, Iyan E., Aditya Riadi Gusman, M. J. Hossen, & Kenji Satake. (2018). Adaptive Tsunami Source Inversion Using Optimizations and the Reciprocity Principle. Journal of Geophysical Research Solid Earth. 123(12). 9 indexed citations

Hossen, M. J., Aditya Riadi Gusman, Kenji Satake, & Phil R. Cummins. (2017). An Adjoint Sensitivity Method Applied to Time Reverse Imaging of Tsunami Source for the 2009 Samoa Earthquake. Geophysical Research Letters. 45(2). 627–636. 16 indexed citations

Hossen, M. J., Phil R. Cummins, & Kenji Satake. (2017). Complete Implementation of the Green's Function Based Time Reverse Imaging and Sensitivity Analysis of Reversed Time Tsunami Source Inversion. Geophysical Research Letters. 44(19). 9844–9855. 5 indexed citations

Baba, Toshitaka, S. Allgeyer, M. J. Hossen, et al.. (2017). Accurate numerical simulation of the far-field tsunami caused by the 2011 Tohoku earthquake, including the effects of Boussinesq dispersion, seawater density stratification, elastic loading, and gravitational potential change. Ocean Modelling. 111. 46–54. 86 indexed citations

Dettmer, Jan, Rhys Hawkins, Phil R. Cummins, et al.. (2016). Tsunami source uncertainty estimation: The 2011 Japan tsunami. Journal of Geophysical Research Solid Earth. 121(6). 4483–4505. 39 indexed citations

Hossen, M. J., Phil R. Cummins, Jan Dettmer, & Toshitaka Baba. (2015). Time reverse imaging for far‐field tsunami forecasting: 2011 Tohoku earthquake case study. Geophysical Research Letters. 42(22). 9906–9915. 21 indexed citations

Hossen, M. J., Phil R. Cummins, Jan Dettmer, & Toshitaka Baba. (2015). Tsunami waveform inversion for sea surface displacement following the 2011 Tohoku earthquake: Importance of dispersion and source kinematics. Journal of Geophysical Research Solid Earth. 120(9). 6452–6473. 41 indexed citations

10.

Hossen, M. J., Phil R. Cummins, Stephen Roberts, & S. Allgeyer. (2015). Time Reversal Imaging of the Tsunami Source. Pure and Applied Geophysics. 172(3-4). 969–984. 23 indexed citations

11.

Griffin, Jonathan, Hamzah Latief, Widjo Kongko, et al.. (2015). An evaluation of onshore digital elevation models for modeling tsunami inundation zones. Frontiers in Earth Science. 3. 44 indexed citations

12.

Hossen, M. J., I. M. Navon, & F. Fang. (2011). A penalized four‐dimensional variational data assimilation method for reducing forecast error related to adaptive observations. International Journal for Numerical Methods in Fluids. 70(10). 1207–1220. 7 indexed citations

13.

Hossen, M. J., I. M. Navon, & Dacian N. Daescu. (2011). Effect of random perturbations on adaptive observation techniques. International Journal for Numerical Methods in Fluids. 69(1). 110–123. 10 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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