N. A. Thacker

1.6k citations
76 papers · 1.1k indexed · h-index 16

N. A. Thacker

68 papers receiving 1.0k citations

Peers

N. A. Thacker
Comparison fields: 5 of 127
  • Computer Vision and Pattern Recognition 459
  • Signal Processing 208
  • Developmental Neuroscience 59
  • Cognitive Neuroscience 167
  • Radiology, Nuclear Medicine and Imaging 185
Replace Dirk Smeets with:
Dirk Smeets Belgium
O. Cuisenaire Switzerland
Takayuki Ito Japan
Gloria Menegaz Italy
A. C. F. Colchester United Kingdom
Huiguang He China
Fu Li China
Hao Tang China
Seong‐Eun Kim South Korea
Jon Sporring Denmark
N. A. Thacker relative to Dirk Smeets Belgium Dirk Smeets's profile →
Citations per field
00.5×4.9×
Dirk Smeets · 1×
Citations per year

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-authorship network

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
#Work
1 20202
2
Coalescence and refinement of Moon Zoo crater annotations
20141
3 2007168
4 200724
5 200615
6 200415
7 200492
8
Parameter Estimation for EM Mixture Modelling and its Relationship to Likelihood and EML.
20040
9 200313
10 20039
11 200259
12 20020
13 20022
14
Developing a virtual reality environment for petrous bone surgery: a state-of-the-art review
200129
15 200111
16
Tutorial: Statistics and Estimation in Algorithmic Vision.
20002
17 20004
18 199917
19 19980
20 199114

About N. A. Thacker

N. A. Thacker is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 76 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (13 papers), Medical Image Segmentation Techniques (12 papers), Image and Object Detection Techniques (12 papers), Image Retrieval and Classification Techniques (9 papers), Advanced MRI Techniques and Applications (8 papers), Robotics and Sensor-Based Localization (8 papers), Neural Networks and Applications (7 papers) and Advanced Neuroimaging Techniques and Applications (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (459 citations), Signal Processing (208 citations) and Developmental Neuroscience (59 citations). N. A. Thacker has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Juergen Luettin, S.W. Beet, Alan Jackson, John A. Barron, Patrick Rabbitt, Neil Pendleton, Fábio Miyajima, Andrew R. Mayes, M.A. Horan 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 IEEE Journal of Solid-State Circuits.

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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