Gail Duursma

41 total papers · 648 total citations
28 papers, 524 citations indexed

About

Gail Duursma is a scholar working on Computational Mechanics, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Gail Duursma has authored 28 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computational Mechanics, 13 papers in Biomedical Engineering and 10 papers in Mechanical Engineering. Recurrent topics in Gail Duursma's work include Heat Transfer and Boiling Studies (8 papers), Granular flow and fluidized beds (8 papers) and Fluid Dynamics and Thin Films (8 papers). Gail Duursma is often cited by papers focused on Heat Transfer and Boiling Studies (8 papers), Granular flow and fluidized beds (8 papers) and Fluid Dynamics and Thin Films (8 papers). Gail Duursma collaborates with scholars based in United Kingdom, China and France. Gail Duursma's co-authors include Khellil Sefiane, A.J. Walton, D. Bogojevic, Souad Harmand, Martin Crapper, S. David, Sera Whitelaw, Kevin McMullan, I. Eames and Yong Yu and has published in prestigious journals such as Langmuir, International Journal of Heat and Mass Transfer and Advances in Colloid and Interface Science.

In The Last Decade

Gail Duursma

27 papers receiving 512 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gail Duursma 291 251 198 104 68 28 524
Basudeb Munshi 276 0.9× 225 0.9× 87 0.4× 86 0.8× 61 0.9× 40 448
Jiandong Zhou 211 0.7× 249 1.0× 223 1.1× 59 0.6× 46 0.7× 20 458
Manuel Hopp‐Hirschler 339 1.2× 124 0.5× 152 0.8× 74 0.7× 46 0.7× 28 533
Ho Jae Kwak 289 1.0× 262 1.0× 81 0.4× 117 1.1× 142 2.1× 24 483
Chaoqun Shen 180 0.6× 214 0.9× 90 0.5× 93 0.9× 88 1.3× 24 477
Tatsuya Hazuku 246 0.8× 284 1.1× 273 1.4× 32 0.3× 24 0.4× 48 447
Fujun Wang 283 1.0× 56 0.2× 159 0.8× 95 0.9× 105 1.5× 23 505
K. Ashoke Raman 303 1.0× 103 0.4× 67 0.3× 183 1.8× 176 2.6× 19 486
Ruijie Liu 175 0.6× 222 0.9× 197 1.0× 36 0.3× 27 0.4× 31 573
Akira Kariyasaki 257 0.9× 400 1.6× 428 2.2× 38 0.4× 14 0.2× 30 614

Countries citing papers authored by Gail Duursma

Since Specialization
Citations

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

Fields of papers citing papers by Gail Duursma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gail Duursma

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

All Works

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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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