Neil A. Thacker

2.4k total citations
64 papers, 1.6k citations indexed

About

Neil A. Thacker is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Signal Processing. According to data from OpenAlex, Neil A. Thacker has authored 64 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 21 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Signal Processing. Recurrent topics in Neil A. Thacker's work include Advanced MRI Techniques and Applications (12 papers), Medical Image Segmentation Techniques (9 papers) and MRI in cancer diagnosis (8 papers). Neil A. Thacker is often cited by papers focused on Advanced MRI Techniques and Applications (12 papers), Medical Image Segmentation Techniques (9 papers) and MRI in cancer diagnosis (8 papers). Neil A. Thacker collaborates with scholars based in United Kingdom, United States and Germany. Neil A. Thacker's co-authors include Alan Jackson, Peter Rockett, Paul A. Bromiley, Juergen Luettin, Hossein Ragheb, Diethard Tautz, Marietta Scott, James P.B. O’Connor, Marie-Claude Asselin and Ronald Boellaard and has published in prestigious journals such as PLoS ONE, Brain and Scientific Reports.

In The Last Decade

Neil A. Thacker

60 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Neil A. Thacker United Kingdom	22	576	372	194	157	129	64	1.6k
Dirk Smeets Belgium	22	609 1.1×	364 1.0×	156 0.8×	106 0.7×	89 0.7×	69	1.5k
Svitlana Zinger Netherlands	20	472 0.8×	293 0.8×	243 1.3×	201 1.3×	111 0.9×	107	1.4k
O. Cuisenaire Switzerland	17	631 1.1×	397 1.1×	349 1.8×	94 0.6×	33 0.3×	39	1.6k
N. A. Thacker United Kingdom	16	459 0.8×	185 0.5×	167 0.9×	85 0.5×	208 1.6×	76	1.1k
Bruno Jedynak United States	25	461 0.8×	385 1.0×	329 1.7×	267 1.7×	66 0.5×	73	2.3k
Rui Feng China	19	465 0.8×	248 0.7×	216 1.1×	247 1.6×	73 0.6×	91	1.3k
Matthew Toews Canada	19	436 0.8×	428 1.2×	99 0.5×	202 1.3×	53 0.4×	53	1.1k
Yong‐Sheng Chen Taiwan	25	559 1.0×	117 0.3×	417 2.1×	98 0.6×	133 1.0×	158	2.0k
Ahmed Ashraf Canada	19	396 0.7×	372 1.0×	116 0.6×	225 1.4×	69 0.5×	63	1.4k
Gözde Ünal Türkiye	26	1.0k 1.8×	477 1.3×	193 1.0×	237 1.5×	34 0.3×	120	2.4k

Countries citing papers authored by Neil A. Thacker

Since Specialization

Citations

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

Fields of papers citing papers by Neil A. Thacker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Neil A. Thacker. 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 Neil A. Thacker. The network helps show where Neil A. Thacker may publish in the future.

Co-authorship network of co-authors of Neil A. Thacker

This figure shows the co-authorship network connecting the top 25 collaborators of Neil A. Thacker. A scholar is included among the top collaborators of Neil A. Thacker 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 Neil A. Thacker. Neil A. Thacker 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

1.

Thacker, Neil A., Muhammad Babur, Grazyna Lipowska‐Bhalla, et al.. (2022). Habitat Imaging of Tumors Enables High Confidence Sub-Regional Assessment of Response to Therapy. Cancers. 14(9). 2159–2159. 9 indexed citations

2.

Ragheb, Hossein, et al.. (2015). The Accuracy of ADC Measurements in Liver Is Improved by a Tailored and Computationally Efficient Local-Rigid Registration Algorithm. PLoS ONE. 10(7). e0132554–e0132554. 4 indexed citations

3.

Morris, Tim, et al.. (2014). Optic disk segmentation using texture. Research Explorer (The University of Manchester). 293–300. 2 indexed citations

4.

Ragheb, Hossein, et al.. (2013). Quantitative shape analysis with weighted covariance estimates for increased statistical efficiency. Frontiers in Zoology. 10(1). 16–16. 2 indexed citations

5.

Ragheb, Hossein & Neil A. Thacker. (2011). Quantitative Localisation of Manually Defined Landmarks.. 221–226. 4 indexed citations

6.

Manjón, José V., Neil A. Thacker, Juan José Lull, et al.. (2009). Multicomponent MR Image Denoising. International Journal of Biomedical Imaging. 2009(1). 756897–756897. 53 indexed citations

7.

Rabbitt, Patrick, Said A. Ibrahim, Mary Lunn, et al.. (2008). Age-associated losses of brain volume predict longitudinal cognitive declines over 8 to 20 years.. Neuropsychology. 22(1). 3–9. 12 indexed citations

8.

Rabbitt, Patrick, Marietta Scott, Neil A. Thacker, et al.. (2007). Effects of global atrophy, white matter lesions, and cerebral blood flow on age-related changes in speed, memory, intelligence, vocabulary, and frontal function.. Neuropsychology. 21(6). 684–695. 29 indexed citations

9.

Williamson, David C., et al.. (2006). Robust quantification of short echo time ¹H magnetic resonance spectra using the Padé approximant. Magnetic Resonance in Medicine. 55(4). 762–771. 13 indexed citations

10.

Rabbitt, Patrick, Marietta Scott, Neil A. Thacker, et al.. (2006). Losses in gross brain volume and cerebral blood flow account for age-related differences in speed but not in fluid intelligence.. Neuropsychology. 20(5). 549–557. 41 indexed citations

11.

Scott, Marietta & Neil A. Thacker. (2005). Robust Tissue Boundary Detection for Cerebral Cortical Thickness Estimation. Lecture notes in computer science. 8(Pt 2). 878–885. 10 indexed citations

12.

Thacker, Neil A., Anoop Varma, Stavros Stivaros, et al.. (2002). Dementing Disorders: Volumetric Measurement of Cerebrospinal Fluid to Distinguish Normal from Pathologic Findings—Feasibility Study. Radiology. 224(1). 278–285. 30 indexed citations

13.

Hobday, David, Qasim Aziz, Neil A. Thacker, et al.. (2001). A study of the cortical processing of ano-rectal sensation using functional MRI. Brain. 124(2). 361–368. 116 indexed citations

14.

Watson, Nick, et al.. (2001). Improved high resolution MR imaging for surface coils using automated intensity non‐uniformity correction: Feasibility study in the orbit. Journal of Magnetic Resonance Imaging. 14(5). 540–546. 27 indexed citations

15.

Thacker, Neil A., et al.. (1999). A fast model independent method for automatic correction of intensity nonuniformity in MRI data. Journal of Magnetic Resonance Imaging. 10(4). 550–562. 10 indexed citations

16.

Thacker, Neil A., et al.. (1999). A fast model independent method for automatic correction of intensity nonuniformity in MRI data. Journal of Magnetic Resonance Imaging. 10(4). 550–562. 63 indexed citations

17.

Harris, AJ, et al.. (1998). Modelling Stereo Vision for Range Sensor Simulation. 417–421. 3 indexed citations

18.

Thacker, Neil A., et al.. (1998). The Bhattacharyya Metric as an Absolute Similarity Measure for Frequency Coded Data.. Kybernetika. 34(4). 363–368. 247 indexed citations

19.

Thacker, Neil A., et al.. (1997). Optimal Pairwise Geometric Histograms.. British Machine Vision Conference. 18 indexed citations

20.

Crossley, Scott A., et al.. (1997). Robust Stereo via Temporal Consistency.. British Machine Vision Conference. 5 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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