J. N. Bassis

3.5k total citations
62 papers, 2.1k citations indexed

About

J. N. Bassis is a scholar working on Atmospheric Science, Pulmonary and Respiratory Medicine and Management, Monitoring, Policy and Law. According to data from OpenAlex, J. N. Bassis has authored 62 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Atmospheric Science, 35 papers in Pulmonary and Respiratory Medicine and 30 papers in Management, Monitoring, Policy and Law. Recurrent topics in J. N. Bassis's work include Cryospheric studies and observations (53 papers), Winter Sports Injuries and Performance (35 papers) and Landslides and related hazards (29 papers). J. N. Bassis is often cited by papers focused on Cryospheric studies and observations (53 papers), Winter Sports Injuries and Performance (35 papers) and Landslides and related hazards (29 papers). J. N. Bassis collaborates with scholars based in United States, United Kingdom and Australia. J. N. Bassis's co-authors include H. A. Fricker, Catherine Walker, Richard Coleman, Douglas R. MacAyeal, J. B. Minster, Stan Jacobs, Ravindra Duddu, L. M. Cathles, Emile A. Okal and R. C. Aster and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

J. N. Bassis

60 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. N. Bassis United States	26	1.9k	919	695	209	127	62	2.1k
O. V. Sergienko United States	28	2.0k 1.0×	837 0.9×	530 0.8×	116 0.6×	237 1.9×	67	2.1k
Robert G. Bingham United Kingdom	34	2.4k 1.3×	1.2k 1.3×	831 1.2×	184 0.9×	97 0.8×	87	2.6k
E. Le Meur France	24	1.8k 0.9×	592 0.6×	543 0.8×	103 0.5×	156 1.2×	55	1.9k
Huw Horgan New Zealand	23	1.4k 0.7×	558 0.6×	461 0.7×	233 1.1×	87 0.7×	52	1.6k
G. A. Catania United States	39	3.7k 2.0×	1.8k 1.9×	1.2k 1.7×	144 0.7×	89 0.7×	75	3.9k
B. R. Parizek United States	24	1.8k 0.9×	778 0.8×	534 0.8×	67 0.3×	83 0.7×	56	1.9k
Christina Hulbe United States	25	2.2k 1.2×	1.1k 1.2×	699 1.0×	74 0.4×	112 0.9×	78	2.4k
Knut Christianson United States	25	1.6k 0.8×	824 0.9×	649 0.9×	93 0.4×	53 0.4×	67	1.7k
Kenichi Matsuoka Norway	25	1.7k 0.9×	773 0.8×	690 1.0×	107 0.5×	55 0.4×	95	1.9k
J. M. Amundson United States	22	1.5k 0.8×	658 0.7×	461 0.7×	186 0.9×	43 0.3×	61	1.7k

Countries citing papers authored by J. N. Bassis

Since Specialization

Citations

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

Fields of papers citing papers by J. N. Bassis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. N. Bassis

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

All Works

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20 of 20 papers shown

Bassis, J. N., et al.. (2024). Do atmospheric rivers trigger tabular iceberg calving?. Journal of Glaciology. 71.

Bassis, J. N., et al.. (2024). High Basal Melt Rates and High Strain Rates Lead to More Fractured Ice. Journal of Geophysical Research Earth Surface. 129(4). 3 indexed citations

Morlighem, Mathieu, Daniel Goldberg, J. N. Bassis, et al.. (2024). The West Antarctic Ice Sheet may not be vulnerable to marine ice cliff instability during the 21st century. Science Advances. 10(34). eado7794–eado7794. 16 indexed citations

Pettersen, Claire, et al.. (2024). CloudSat Observations Show Enhanced Moisture Transport Events Increase Snowfall Rate and Frequency Over Antarctic Ice Sheet Basins. Journal of Geophysical Research Atmospheres. 129(6).

Bassis, J. N., et al.. (2023). Beyond the Stokes approximation: shallow visco-elastic ice-sheet models. Journal of Glaciology. 1–12. 2 indexed citations

Berg, Brandon & J. N. Bassis. (2022). Crevasse advection increases glacier calving. Journal of Glaciology. 1–10. 10 indexed citations

Benn, Douglas I., Adrian Luckman, Jan Åström, et al.. (2022). Rapid fragmentation of Thwaites Eastern Ice Shelf. The cryosphere. 16(6). 2545–2564. 20 indexed citations

Karplus, M. S., Tun Jan Young, S. Anandakrishnan, et al.. (2022). Strategies to build a positive and inclusive Antarctic field work environment. Annals of Glaciology. 63(87-89). 125–131. 5 indexed citations

Bassis, J. N., et al.. (2021). Roughness of Ice Shelves Is Correlated With Basal Melt Rates. Geophysical Research Letters. 48(21). 19 indexed citations

10.

Benn, Douglas I., Adrian Luckman, Jan Åström, et al.. (2021). Rapid fragmentation of Thwaites Eastern Ice Shelf, West Antarctica. 4 indexed citations

11.

Slater, Donald, Douglas I. Benn, Tom Cowton, J. N. Bassis, & Joe Todd. (2021). Calving Multiplier Effect Controlled by Melt Undercut Geometry. Journal of Geophysical Research Earth Surface. 126(7). 22 indexed citations

12.

Crawford, Anna, Douglas I. Benn, Joe Todd, et al.. (2021). Marine ice-cliff instability modeling shows mixed-mode ice-cliff failure and yields calving rate parameterization. Nature Communications. 12(1). 2701–2701. 46 indexed citations

13.

Bassis, J. N., et al.. (2020). SERMeQ Model Produces a Realistic Upper Bound on Calving Retreat for 155 Greenland Outlet Glaciers. Geophysical Research Letters. 47(21). 2 indexed citations

14.

Berg, Brandon & J. N. Bassis. (2020). Brief communication: Time step dependence (and fixes) in Stokes simulations of calving ice shelves. The cryosphere. 14(9). 3209–3213. 1 indexed citations

15.

Walker, Catherine, Alex Gardner, T. Neumann, et al.. (2019). Iceberg, right ahead!: The surprising and ongoing collapse of an East Antarctic ice shelf in response to changes in the ocean environment. AGU Fall Meeting Abstracts. 2019. 2 indexed citations

16.

Bassis, J. N., Sierra Petersen, & L. M. Cathles. (2017). Heinrich events triggered by ocean forcing and modulated by isostatic adjustment. Nature. 542(7641). 332–334. 97 indexed citations

17.

Schmidt, B. E., et al.. (2014). Breaking the Ice: On the Application of Fracture System Mechanics and Fragmentation Theory to the Chaos Regions of Europa. Lunar and Planetary Science Conference. 2659. 3 indexed citations

18.

Janssen, Volker, Richard Coleman, & J. N. Bassis. (2009). GPS-Derived Strain Rates on an Active Ice Shelf Rift. Survey Review. 41(311). 14–25. 4 indexed citations

19.

MacAyeal, Douglas R., J. N. Bassis, Emile A. Okal, R. C. Aster, & L. M. Cathles. (2008). Ocean wave generation by collapsing ice shelves. AGUFM. 2008. 2 indexed citations

20.

MacAyeal, Douglas R., et al.. (2007). All Quiet on the Seaward Ice Front. AGU Fall Meeting Abstracts. 2007. 1 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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