N. A. Thacker

1.6k citations
79 papers · 1.2k · h-index 17

Impact in

Papers in

N. A. Thacker

71 papers receiving 1.1k citations

Peers

N. A. Thacker
Comparison fields: 5 of 126
  • Computer Vision and Pattern Recognition 520
  • Signal Processing 233
  • Developmental Neuroscience 46
  • Radiology, Nuclear Medicine and Imaging 165
  • Cognitive Neuroscience 126
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Countries citing papers authored by N. A. Thacker

Since Specialization
Citations

This map shows the geographic impact of N. 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 N. 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 N. A. Thacker more than expected).

Fields of papers citing papers by N. A. Thacker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside N. A. Thacker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with N. A. Thacker Line = papers co-authored together N. A. Thacker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007169
2 200494
3 199685
4 199676
5 200268
6
Tutorial: Computing 2D and 3D Optical Flow.
200461
7 199656
8 199545
9
An integrated simulator for surgery of the petrous bone.
200138
10 200036
11
Developing a virtual reality environment for petrous bone surgery: a state-of-the-art review
200130
12 199626
13 199426
14 200725
15 199920
16 199818
17 199117
18 200316
19 200616
20 200416

About N. A. Thacker

N. A. Thacker is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Electrical and Electronic Engineering and Signal Processing, having authored 79 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (14 papers), Medical Image Segmentation Techniques (13 papers), Image and Object Detection Techniques (13 papers), Image Retrieval and Classification Techniques (9 papers), Robotics and Sensor-Based Localization (8 papers), Neural Networks and Applications (7 papers), Advanced MRI Techniques and Applications (7 papers) and Image Processing Techniques and Applications (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (520 citations), Signal Processing (233 citations), Developmental Neuroscience (46 citations), Radiology, Nuclear Medicine and Imaging (165 citations) and Cognitive Neuroscience (126 citations). N. A. Thacker has collaborated with scholars based in United Kingdom, Switzerland and Spain. Frequent co-authors include S.W. Beet, Juergen Luettin, Alan Jackson, John A. Barron, Patrick Rabbitt, Neil Pendleton, Paul A. Bromiley, M.A. Horan, Andrew R. Mayes and Antony Payton. Their work appears in journals such as Image and Vision Computing, Bioinformatics, British Journal of Radiology, IEEE Transactions on Nuclear Science and Physiological Measurement.

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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