Arslaan Khalid

601 total citations
10 papers, 110 citations indexed

About

Arslaan Khalid is a scholar working on Atmospheric Science, Earth-Surface Processes and Oceanography. According to data from OpenAlex, Arslaan Khalid has authored 10 papers receiving a total of 110 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Atmospheric Science, 7 papers in Earth-Surface Processes and 6 papers in Oceanography. Recurrent topics in Arslaan Khalid's work include Tropical and Extratropical Cyclones Research (9 papers), Coastal and Marine Dynamics (7 papers) and Ocean Waves and Remote Sensing (5 papers). Arslaan Khalid is often cited by papers focused on Tropical and Extratropical Cyclones Research (9 papers), Coastal and Marine Dynamics (7 papers) and Ocean Waves and Remote Sensing (5 papers). Arslaan Khalid collaborates with scholars based in United States, Brazil and Croatia. Arslaan Khalid's co-authors include Celso M. Ferreira, Felício Cassalho, N. Stein, Jarbas Bonetti, Marinez Eymael García Scherer, Elizabeth J. Trower, Ariana E. Sutton‐Grier, Irina Overeem, Daniel J. Coleman and Ali Abdolali and has published in prestigious journals such as Environmental Modelling & Software, Environmental Monitoring and Assessment and Water.

In The Last Decade

Arslaan Khalid

10 papers receiving 108 citations

Peers

Arslaan Khalid

AS

EP

ECOLO

OCEAN

GPC

Camino Liquete Belgium

Christopher Bochicchio United States

Begoña Pérez-Gómez Spain

L. Lusito Italy

Jennifer Montaño New Zealand

Alix Post Australia

Raimundo Ibaceta Australia

Héloïse Müller France

Thomas Guérin France

Jens Meyerjürgens Germany

Camino Liquete Belgium

Arslaan Khalid

25 ×0.3

AS

37 ×0.6

EP

40 ×0.9

ECOLO

25 ×0.6

OCEAN

24 ×1.3

GPC

Citations per year, relative to Arslaan Khalid Arslaan Khalid (= 1×) peers Camino Liquete

Countries citing papers authored by Arslaan Khalid

Since Specialization

Citations

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

Fields of papers citing papers by Arslaan Khalid

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arslaan Khalid

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

All Works

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10 of 10 papers shown

1.

Khalid, Arslaan, et al.. (2023). Numerical modeling of wave attenuation: implications of representing vegetation found in coastal saltmarshes in the Chesapeake Bay. Environmental Monitoring and Assessment. 195(8). 982–982. 9 indexed citations

2.

Cassalho, Felício, et al.. (2022). Intercomparing atmospheric reanalysis products for hydrodynamic and wave modeling of extreme events during the open-water Arctic season. Arctic Antarctic and Alpine Research. 54(1). 125–146. 5 indexed citations

3.

Abdolali, Ali, Tyler Hesser, Aron Roland, et al.. (2022). Wave Attenuation by Vegetation: Model Implementation and Validation Study. Frontiers in Built Environment. 8. 11 indexed citations

4.

Cassalho, Felício, et al.. (2022). ArcWaT: a model-based cell-by-cell GIS toolbox for estimating wave transformation during storm surge events. Geocarto International. 37(25). 10532–10555. 3 indexed citations

5.

Khalid, Arslaan, Ehsan Erfani, Celso M. Ferreira, et al.. (2021). Evaluating storm surge predictability on subseasonal timescales for flood forecasting applications: A case study for Hurricane Isabel and Katrina. Weather and Climate Extremes. 34. 100378–100378. 2 indexed citations

6.

Cassalho, Felício, et al.. (2021). Coastal Wetlands Exposure to Storm Surge and Waves in the Albemarle-Pamlico Estuarine System during Extreme Events. Wetlands. 41(4). 13 indexed citations

7.

Khalid, Arslaan, et al.. (2020). Hydrodynamic and Waves Response during Storm Surges on the Southern Brazilian Coast: A Hindcast Study. Water. 12(12). 3538–3538. 23 indexed citations

8.

Stein, N., et al.. (2020). Hurricane Deposits on Carbonate Platforms: A Case Study of Hurricane Irma Deposits on Little Ambergris Cay, Turks and Caicos Islands. Journal of Geophysical Research Earth Surface. 125(8). 13 indexed citations

9.

Khalid, Arslaan & Celso M. Ferreira. (2020). Advancing real-time flood prediction in large estuaries: iFLOOD a fully coupled surge-wave automated web-based guidance system. Environmental Modelling & Software. 131. 104748–104748. 25 indexed citations

10.

Khalid, Arslaan, et al.. (2020). Hydrodynamic and Wave Responses During Storm Surges on the Southern Brazilian Coast: A Real-Time Forecast System. Water. 12(12). 3397–3397. 6 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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