Bughsin Djath

1.2k total citations
30 papers, 706 citations indexed

About

Bughsin Djath is a scholar working on Oceanography, Aerospace Engineering and Atmospheric Science. According to data from OpenAlex, Bughsin Djath has authored 30 papers receiving a total of 706 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Oceanography, 15 papers in Aerospace Engineering and 14 papers in Atmospheric Science. Recurrent topics in Bughsin Djath's work include Ocean Waves and Remote Sensing (16 papers), Wind Energy Research and Development (15 papers) and Wind and Air Flow Studies (11 papers). Bughsin Djath is often cited by papers focused on Ocean Waves and Remote Sensing (16 papers), Wind Energy Research and Development (15 papers) and Wind and Air Flow Studies (11 papers). Bughsin Djath collaborates with scholars based in Germany, United States and France. Bughsin Djath's co-authors include Johannes Schulz‐Stellenfleth, Beatriz Cañadillas, Astrid Lampert, Jens Bange, Andreas Platis, Stefan Emeis, Simon Siedersleben, Konrad Bärfuss, Thomas Neumann and Lionel Gourdeau and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Geoscience and Remote Sensing and Remote Sensing.

In The Last Decade

Bughsin Djath

29 papers receiving 694 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bughsin Djath Germany 15 441 291 276 273 120 30 706
Thomas Neumann Germany 15 476 1.1× 360 1.2× 424 1.5× 179 0.7× 147 1.2× 26 855
Konrad Bärfuss Germany 12 389 0.9× 269 0.9× 242 0.9× 97 0.4× 106 0.9× 22 531
Merete Badger Denmark 21 508 1.2× 168 0.6× 569 2.1× 624 2.3× 145 1.2× 64 1.0k
Djordje Romanić Canada 16 127 0.3× 560 1.9× 569 2.1× 20 0.1× 333 2.8× 58 800
Brian H. Fiedler United States 12 76 0.2× 225 0.8× 389 1.4× 26 0.1× 182 1.5× 34 543
Peter Steinle Australia 14 75 0.2× 395 1.4× 629 2.3× 90 0.3× 386 3.2× 43 849
Romain Husson France 11 107 0.2× 92 0.3× 343 1.2× 526 1.9× 99 0.8× 38 666
Vassili Kitsios Australia 12 140 0.3× 125 0.4× 161 0.6× 86 0.3× 208 1.7× 51 561
Timothy A. Bonin United States 17 173 0.4× 340 1.2× 511 1.9× 24 0.1× 501 4.2× 31 734
S. Dinardo United States 12 202 0.5× 537 1.8× 547 2.0× 163 0.6× 78 0.7× 26 787

Countries citing papers authored by Bughsin Djath

Since Specialization
Citations

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

Fields of papers citing papers by Bughsin Djath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bughsin Djath

This figure shows the co-authorship network connecting the top 25 collaborators of Bughsin Djath. A scholar is included among the top collaborators of Bughsin Djath 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 Bughsin Djath. Bughsin Djath 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.
Jayson‐Quashigah, Philip‐Neri, Joanna Staneva, Wei Chen, & Bughsin Djath. (2025). Assessing the role of mangroves in shoreline stabilisation through a What-If modelling framework. Discover Applied Sciences. 7(9).
2.
Schmidt, J., et al.. (2023). An investigation of spatial wind direction variability and its consideration in engineering models. Wind energy science. 8(4). 589–606. 7 indexed citations
3.
Cañadillas, Beatriz, et al.. (2023). Coastal horizontal wind speed gradients in the North Sea based on observations and ERA5 reanalysis data. Meteorologische Zeitschrift. 32(3). 207–228. 4 indexed citations
4.
Djath, Bughsin, Johannes Schulz‐Stellenfleth, & Beatriz Cañadillas. (2022). Study of Coastal Effects Relevant for Offshore Wind Energy Using Spaceborne Synthetic Aperture Radar (SAR). Remote Sensing. 14(7). 1688–1688. 9 indexed citations
5.
Lampert, Astrid, Konrad Bärfuss, Andreas Platis, et al.. (2020). In situ airborne measurements of atmospheric and sea surface parameters related to offshore wind parks in the German Bight. Earth system science data. 12(2). 935–946. 27 indexed citations
6.
Siedersleben, Simon, Andreas Platis, Julie K. Lundquist, et al.. (2020). Turbulent kinetic energy over large offshore wind farms observed and simulated by the mesoscale model WRF (3.8.1). Geoscientific model development. 13(1). 249–268. 53 indexed citations
7.
Gourdeau, Lionel, Florent Lyard, Rosemary Morrow, et al.. (2020). Internal tides in the Solomon Sea in contrasted ENSO conditions. Ocean science. 16(3). 615–635. 16 indexed citations
8.
Platis, Andreas, Marie Hundhausen, Simon Siedersleben, et al.. (2020). Evaluation of a simple analytical model for offshore wind farm wake recovery by in situ data and Weather Research and Forecasting simulations. Wind Energy. 24(3). 212–228. 20 indexed citations
9.
Cañadillas, Beatriz, Richard Foreman, Volker Barth, et al.. (2020). Offshore wind farm wake recovery: Airborne measurements and its representation in engineering models. Wind Energy. 23(5). 1249–1265. 69 indexed citations
10.
Schrum, Corinna, Naveed Akhtar, Ute Daewel, et al.. (2020). Wind wake effects of large offshore wind farms, an underrated impact on the marine ecosystem?. 1 indexed citations
11.
Platis, Andreas, Jens Bange, Konrad Bärfuss, et al.. (2020). Offshore wind farm far field - Results of the project WIPAFF. 2 indexed citations
12.
Siedersleben, Simon, Andreas Platis, Julie K. Lundquist, et al.. (2019). Observed and simulated turbulent kinetic energy (WRF 3.8.1) overlarge offshore wind farms. 4 indexed citations
13.
Lampert, Astrid, Konrad Bärfuss, Andreas Platis, et al.. (2019). In-situ airborne measurements of atmospheric and sea surfaceparameters related to offshore wind parks in the German Bight. 7 indexed citations
14.
Djath, Bughsin & Johannes Schulz‐Stellenfleth. (2019). Wind speed deficits downstream offshore wind parks – A new automised estimation technique based on satellite synthetic aperture radar data. Meteorologische Zeitschrift. 28(6). 499–515. 13 indexed citations
15.
Platis, Andreas, Simon Siedersleben, Jens Bange, et al.. (2018). First in situ evidence of wakes in the far field behind offshore wind farms. Scientific Reports. 8(1). 2163–2163. 153 indexed citations
16.
Gourdeau, Lionel, et al.. (2018). Spectral signatures of the tropical Pacific dynamics from model and altimetry: a focus on the meso-/submesoscale range. Ocean science. 14(5). 1283–1301. 25 indexed citations
17.
Siedersleben, Simon, Andreas Platis, Julie K. Lundquist, et al.. (2018). Evaluation of a Wind Farm Parametrization for Mesoscale Atmospheric Flow Models with Aircraft Measurements. Meteorologische Zeitschrift. 27(5). 401–415. 41 indexed citations
18.
Gourdeau, Lionel, Bughsin Djath, Alexandre Ganachaud, et al.. (2017). Altimetry in a Regional Tropical Sea [Space Agencies]. IEEE Geoscience and Remote Sensing Magazine. 5(3). 44–52. 3 indexed citations
19.
Djath, Bughsin, Angélique Melet, Jacques Verron, et al.. (2014). A 1/36° model of the Solomon Sea embedded into a global ocean model: On the setting up of an interactive open boundary nested model system. Journal of Operational Oceanography. 7(1). 34–46. 9 indexed citations
20.
Gaultier, Lucile, Bughsin Djath, Jacques Verron, et al.. (2014). Inversion of submesoscale patterns from a high‐resolution Solomon Sea model: Feasibility assessment. Journal of Geophysical Research Oceans. 119(7). 4520–4541. 13 indexed citations

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