J.M. Hannah

2.5k total citations · 1 hit paper
59 papers, 1.8k citations indexed

About

J.M. Hannah is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Biomedical Engineering. According to data from OpenAlex, J.M. Hannah has authored 59 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 14 papers in Signal Processing and 10 papers in Biomedical Engineering. Recurrent topics in J.M. Hannah's work include Advanced Data Compression Techniques (16 papers), Advanced Vision and Imaging (13 papers) and Video Coding and Compression Technologies (10 papers). J.M. Hannah is often cited by papers focused on Advanced Data Compression Techniques (16 papers), Advanced Vision and Imaging (13 papers) and Video Coding and Compression Technologies (10 papers). J.M. Hannah collaborates with scholars based in United Kingdom, South Korea and India. J.M. Hannah's co-authors include P. Hillman, D. Renshaw, Peter Grant, Somnath Sengupta, P.M. Grant, D.P. Morgan, Supratim Gupta, John H. Collins, S. Matsunaga and B. Mulgrew and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Microwave Theory and Techniques and Transactions of the American Mathematical Society.

In The Last Decade

J.M. Hannah

53 papers receiving 1.8k citations

Hit Papers

IEEE Computer Society Conference on Computer Vision and P... 2001 2026 2009 2017 2001 400 800 1.2k
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.

  1. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'2001)
    2001 1.5k citations P. Hillman, J.M. Hannah et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J.M. Hannah United Kingdom 8 1.1k 302 238 176 153 59 1.8k
Ching Y. Suen Canada 9 1.3k 1.1× 236 0.8× 237 1.0× 144 0.8× 148 1.0× 15 2.1k
Wilhelm Burger United States 14 1.3k 1.1× 213 0.7× 408 1.7× 262 1.5× 203 1.3× 30 2.4k
Li Bai United Kingdom 23 1.4k 1.3× 257 0.9× 291 1.2× 252 1.4× 129 0.8× 80 2.0k
Suchendra M. Bhandarkar United States 24 1.0k 0.9× 273 0.9× 190 0.8× 95 0.5× 136 0.9× 137 2.3k
Hideyuki Tamura Japan 18 2.0k 1.8× 269 0.9× 298 1.3× 118 0.7× 224 1.5× 137 3.0k
George Stockman United States 17 1.7k 1.5× 366 1.2× 284 1.2× 188 1.1× 528 3.5× 73 2.6k
Quanfu Fan United States 18 1.3k 1.2× 587 1.9× 251 1.1× 140 0.8× 132 0.9× 48 2.1k
Michael B. Oren United States 10 1.6k 1.5× 261 0.9× 163 0.7× 100 0.6× 177 1.2× 25 2.3k
J. R. Parker Canada 13 667 0.6× 227 0.8× 180 0.8× 78 0.4× 75 0.5× 43 1.5k
Chiou‐Shann Fuh Taiwan 22 1.3k 1.1× 280 0.9× 446 1.9× 234 1.3× 122 0.8× 103 2.0k

Countries citing papers authored by J.M. Hannah

Since Specialization
Citations

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

Fields of papers citing papers by J.M. Hannah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J.M. Hannah

This figure shows the co-authorship network connecting the top 25 collaborators of J.M. Hannah. A scholar is included among the top collaborators of J.M. Hannah 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.M. Hannah. J.M. Hannah 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.
Hannah, J.M., et al.. (2010). Segmented motion compensation for complementary coded ultrasonic imaging. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 57(5). 1039–1050. 6 indexed citations
2.
Hillman, P., J.M. Hannah, & D. Renshaw. (2005). Semi-automatic foreground/background segmentation of motion picture images and image sequences. IEE Proceedings - Vision Image and Signal Processing. 152(4). 387–387. 2 indexed citations
3.
Hillman, P., J.M. Hannah, & D. Renshaw. (2005). Alpha channel estimation in high resolution images and image sequences. 1. I–1063. 31 indexed citations
4.
Hillman, P., J.M. Hannah, & D. Renshaw. (2004). An improved algorithm for segmentation of motion picture image sequences. 175–184. 2 indexed citations
5.
Edwards, Peter J., et al.. (2002). Minimizing risk using prediction uncertainty in neural network estimation fusion and its application to papermaking. IEEE Transactions on Neural Networks. 13(3). 726–731. 5 indexed citations
6.
Hannah, J.M., et al.. (2002). Facial features motion analysis for wire-frame tracking in model-based moving image coding. 4. 2669–2672. 3 indexed citations
7.
Hannah, J.M., et al.. (2002). Automatic fitting and tracking of facial features in head-and-shoulders sequences. 5. 2609–2612. 2 indexed citations
8.
Hannah, J.M., et al.. (2002). A comparison of detailed automatic wire-frame fitting methods. 1. 468–471. 3 indexed citations
9.
Grant, P.M., et al.. (2002). A comparative study of nonlinear video rate control techniques: neural networks and fuzzy logic. 3. 1593–1596. 1 indexed citations
10.
Sengupta, Shubhashis, J.M. Hannah, & P.M. Grant. (2001). Improving the Quality of Very Low Bit-Rate Video by Selective Quantization of Facial Features. 1 indexed citations
11.
Hannah, J.M., et al.. (2000). A new approach to wire-frame tracking for semantic model-based moving image coding. Signal Processing Image Communication. 15(6). 567–580. 3 indexed citations
12.
Grant, P.M., et al.. (1996). Feed-forward buffering and rate control based on scene change featureslll FOR MPEG VIDEO CODER. European Signal Processing Conference. 1–4. 3 indexed citations
13.
Hannah, J.M., et al.. (1996). Proceedings IEEE International Conference on Image Processing (ICIP). 56 indexed citations
14.
Hannah, J.M., et al.. (1995). A New Measure of Growth for Countable-Dimensional Algebras. I. Transactions of the American Mathematical Society. 347(1). 111–111. 4 indexed citations
15.
Hudson, Stephen D. & J.M. Hannah. (1992). Structured knowledge manipulation system for real-time engineering applications. IEE Proceedings E Computers and Digital Techniques. 139(1). 59–59. 2 indexed citations
16.
Jordan, J.R., et al.. (1992). Automated prototyping with FPGAs. 1 indexed citations
17.
Hannah, J.M.. (1985). Using Dollars and Sense.
18.
Hannah, J.M., et al.. (1981). Programmable Frequency-Hop Synthesizers Based on Chirp Mixing. IEEE Transactions on Microwave Theory and Techniques. 29(5). 456–463. 2 indexed citations
19.
Morgan, D.P. & J.M. Hannah. (1976). Correlation of Long Spread-Spectrum Waveforms Using a SAW Convolver/Recirculation Loop Sub-System. 436–440. 1 indexed citations
20.
Morgan, D.P. & J.M. Hannah. (1975). Correlation of Long Sequences Using a SAW Convolver and Recirculation Loop. 189–192. 2 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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