J. Lowell

834 total citations
21 papers, 566 citations indexed

About

J. Lowell is a scholar working on Geophysics, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, J. Lowell has authored 21 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Geophysics, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in J. Lowell's work include Seismic Imaging and Inversion Techniques (9 papers), Retinal Imaging and Analysis (7 papers) and Geological Modeling and Analysis (6 papers). J. Lowell is often cited by papers focused on Seismic Imaging and Inversion Techniques (9 papers), Retinal Imaging and Analysis (7 papers) and Geological Modeling and Analysis (6 papers). J. Lowell collaborates with scholars based in United Kingdom, Poland and Australia. J. Lowell's co-authors include David Steel, Andrew Hunter, Ansu Basu, Robert E. J. Ryder, Lee Kennedy, E. J. Fletcher, R.L. Kennedy, Maged Habib, Joseph L. Henderson and Sherrill Purves and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Geophysical Prospecting and The Leading Edge.

In The Last Decade

J. Lowell

19 papers receiving 508 citations

Peers

J. Lowell
Sima Sahu India
J. Lowell
Citations per year, relative to J. Lowell J. Lowell (= 1×) peers Sima Sahu

Countries citing papers authored by J. Lowell

Since Specialization
Citations

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

Fields of papers citing papers by J. Lowell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Lowell

This figure shows the co-authorship network connecting the top 25 collaborators of J. Lowell. A scholar is included among the top collaborators of J. Lowell 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. Lowell. J. Lowell 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.
Lowell, J. & P. Szafián. (2021). Fault detection from 3D seismic data using Artificial Intelligence. 2 indexed citations
2.
Lowell, J., et al.. (2019). Combining artificial intelligence with human reasoning for seismic interpretation. 2353–2357. 3 indexed citations
3.
Lowell, J., et al.. (2018). Application of deep learning for seismic horizon interpretation. 1976–1980. 9 indexed citations
4.
Lowell, J., et al.. (2018). High‐definition frequency decomposition. Geophysical Prospecting. 66(6). 1138–1143. 4 indexed citations
5.
Lowell, J., et al.. (2018). Deep Learning Based Horizon Interpretation. Proceedings. 1 indexed citations
6.
Lowell, J., et al.. (2017). Seismic Interpretation with Regional Structural Awareness - A New Interpretation Technique. Proceedings. 1 indexed citations
7.
Szafián, P., et al.. (2015). Frequency Decomposition of Broadband Seismic Data: Challenges and Solutions. Proceedings. 1 indexed citations
8.
Purves, Sherrill, et al.. (2013). Perception of visual information: the role of colour in seismic interpretation. First Break. 31(4). 13 indexed citations
9.
Henderson, J., et al.. (2012). Integrating interpretation expertise and objective data analysis in 3D interpretation. The Leading Edge. 31(11). 1374–1381. 1 indexed citations
10.
Lowell, J., et al.. (2012). Perception of Visual Information - What Are you Interpreting from your Seismic?. Proceedings. 1 indexed citations
12.
Hunter, Andrew, J. Lowell, Maged Habib, et al.. (2011). An automated retinal image quality grading algorithm. PubMed. 2011. 5955–5958. 27 indexed citations
13.
Hunter, Andrew, J. Lowell, Robert E. J. Ryder, Ansu Basu, & David Steel. (2011). Automated diagnosis of referable maculopathy in diabetic retinopathy screening. PubMed. 2011. 3375–3378. 19 indexed citations
14.
Lowell, J., et al.. (2011). Adaptive geobodies: Delineation of complex and heterogeneous stratigraphic features. 4384–4387. 2 indexed citations
15.
Henderson, J., et al.. (2009). Interpreter Driven, Interactive 3D Multi-Attribute Classification. 875–878.
16.
Hunter, Andrew, et al.. (2009). Using shape entropy as a feature to lesion boundary segmentation with level sets. Lincoln Repository (University of Lincoln). 1 indexed citations
17.
Habib, Maged, J. Lowell, Nicolas S. Holliman, et al.. (2008). Assessment of stereoscopic optic disc images using an autostereoscopic screen – experimental study. BMC Ophthalmology. 8(1). 13–13. 2 indexed citations
18.
Hunter, Andrew, J. Lowell, Robert E. J. Ryder, Ansu Basu, & David Steel. (2005). Tram-Line filtering for retinal vessel segmentation. Lincoln Repository (University of Lincoln). 16 indexed citations
19.
Lowell, J., Andrew Hunter, David Steel, et al.. (2004). Optic Nerve Head Segmentation. IEEE Transactions on Medical Imaging. 23(2). 256–264. 285 indexed citations
20.
Lowell, J., Andrew Hunter, David Steel, et al.. (2004). Measurement of Retinal Vessel Widths From Fundus Images Based on 2-D Modeling. IEEE Transactions on Medical Imaging. 23(10). 1196–1204. 174 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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