Bane Sullivan

690 total citations · 1 hit paper
9 papers, 373 citations indexed

About

Bane Sullivan is a scholar working on Artificial Intelligence, Global and Planetary Change and Ocean Engineering. According to data from OpenAlex, Bane Sullivan has authored 9 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Global and Planetary Change and 1 paper in Ocean Engineering. Recurrent topics in Bane Sullivan's work include Computational Physics and Python Applications (2 papers), Science and Climate Studies (1 paper) and Seismic Waves and Analysis (1 paper). Bane Sullivan is often cited by papers focused on Computational Physics and Python Applications (2 papers), Science and Climate Studies (1 paper) and Seismic Waves and Analysis (1 paper). Bane Sullivan collaborates with scholars based in United States, Austria and United Kingdom. Bane Sullivan's co-authors include Alex A. Kaszynski, Whitney Trainor‐Guitton, Marco Musy, Antoine Guitton, Jean‐Christophe Fillion‐Robin, Kevin Mäder, Federico Claudi, Daniela Ushizima, David Haberthür and Genevieve Buckley and has published in prestigious journals such as Energies, The Journal of Open Source Software and Zenodo (CERN European Organization for Nuclear Research).

In The Last Decade

Bane Sullivan

9 papers receiving 357 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

PyVista: 3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK)

2019 342 citations Bane Sullivan, Alex A. Kaszynski The Journal of Open Source Software profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bane Sullivan United States	4	41	38	37	34	32	9	373
Aaron O'Leary Canada	2	26 0.6×	35 0.9×	55 1.5×	25 0.7×	22 0.7×	2	448
Alex A. Kaszynski United States	11	69 1.7×	36 0.9×	44 1.2×	34 1.0×	22 0.7×	44	621
Kai Wohlfahrt United Kingdom	5	26 0.6×	35 0.9×	111 3.0×	70 2.1×	22 0.7×	5	553
Xuechen Zhang China	6	33 0.8×	9 0.2×	67 1.8×	12 0.4×	17 0.5×	10	837
Lin Zhou China	16	43 1.0×	41 1.1×	93 2.5×	53 1.6×	15 0.5×	62	978
R. Bernstein United States	13	27 0.7×	50 1.3×	99 2.7×	12 0.4×	20 0.6×	39	491
Wei He China	14	8 0.2×	48 1.3×	57 1.5×	19 0.6×	35 1.1×	127	632
Chunlai Li China	16	21 0.5×	178 4.7×	133 3.6×	16 0.5×	59 1.8×	86	911
Guangli Wang China	12	19 0.5×	123 3.2×	79 2.1×	19 0.6×	20 0.6×	67	450
Christophe Ducottet France	20	69 1.7×	38 1.0×	120 3.2×	16 0.5×	12 0.4×	57	1.0k

Countries citing papers authored by Bane Sullivan

Since Specialization

Citations

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

Fields of papers citing papers by Bane Sullivan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bane Sullivan

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Musy, Marco, et al.. (2021). marcomusy/vedo: 2021.0.2. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations

2.

Musy, Marco, et al.. (2020). marcomusy/vedo: 2020.4.1. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

3.

McCormick, Matthew, Alex A. Kaszynski, Marco Musy, et al.. (2020). InsightSoftwareConsortium/itkwidgets: itkwidgets 0.32.0. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

4.

Musy, Marco, et al.. (2020). marcomusy/vedo: 2020.4.2. Zenodo (CERN European Organization for Nuclear Research). 4 indexed citations

5.

Sullivan, Bane & Whitney Trainor‐Guitton. (2019). PVGeo: an open-source Python package for geoscientific visualization in VTK and ParaView. The Journal of Open Source Software. 4(38). 1451–1451. 3 indexed citations

6.

Trainor‐Guitton, Whitney, et al.. (2019). 3D Imaging of Geothermal Faults from a Vertical DAS Fiber at Brady Hot Spring, NV USA. Energies. 12(7). 1401–1401. 11 indexed citations

7.

Musy, Marco, et al.. (2019). marcomusy/vtkplotter: vtkplotter. Zenodo (CERN European Organization for Nuclear Research). 7 indexed citations

8.

Sullivan, Bane. (2019). PyVista: managing & visualizing geospatial data using an open-source framework. 2 indexed citations

9.

Sullivan, Bane & Alex A. Kaszynski. (2019). PyVista: 3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK). The Journal of Open Source Software. 4(37). 1450–1450. 342 indexed citations breakdown →

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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