T.G. Clarkson

841 total citations
51 papers, 335 citations indexed

About

T.G. Clarkson is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, T.G. Clarkson has authored 51 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Electrical and Electronic Engineering, 21 papers in Artificial Intelligence and 16 papers in Cognitive Neuroscience. Recurrent topics in T.G. Clarkson's work include Neural Networks and Applications (17 papers), Neural dynamics and brain function (16 papers) and Advanced Memory and Neural Computing (13 papers). T.G. Clarkson is often cited by papers focused on Neural Networks and Applications (17 papers), Neural dynamics and brain function (16 papers) and Advanced Memory and Neural Computing (13 papers). T.G. Clarkson collaborates with scholars based in United Kingdom, Italy and United States. T.G. Clarkson's co-authors include Denise Gorse, John G. Taylor, Chris Christodoulou, Guido Bugmann, Christopher Papadopoulos, Maaruf Ali, J.G. Taylor, Rasmus S. Petersen, W.G. Chambers and Nawaz Khan and has published in prestigious journals such as IEEE Communications Magazine, Neural Networks and IEEE Transactions on Computers.

In The Last Decade

T.G. Clarkson

42 papers receiving 310 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T.G. Clarkson United Kingdom 10 149 145 81 66 60 51 335
George Coghill New Zealand 10 147 1.0× 115 0.8× 119 1.5× 47 0.7× 68 1.1× 46 408
Yuxiang Fu China 11 243 1.6× 92 0.6× 60 0.7× 29 0.4× 45 0.8× 69 377
Richard Linderman United States 10 387 2.6× 132 0.9× 84 1.0× 95 1.4× 64 1.1× 43 574
Andrzej Pacut Poland 9 76 0.5× 52 0.4× 77 1.0× 36 0.5× 58 1.0× 57 277
Joachim K. Anlauf Germany 9 57 0.4× 186 1.3× 36 0.4× 36 0.5× 117 1.9× 20 335
A. Lozowski United States 8 182 1.2× 253 1.7× 230 2.8× 28 0.4× 70 1.2× 22 478
Manohar Ayinala United States 9 197 1.3× 61 0.4× 51 0.6× 61 0.9× 57 0.9× 10 431
Dante Del Corso Italy 9 198 1.3× 136 0.9× 57 0.7× 19 0.3× 26 0.4× 45 367
A. Pavasović Serbia 6 346 2.3× 118 0.8× 29 0.4× 72 1.1× 23 0.4× 16 415
Amirhossein Alimohammad Canada 15 468 3.1× 84 0.6× 191 2.4× 128 1.9× 47 0.8× 67 613

Countries citing papers authored by T.G. Clarkson

Since Specialization
Citations

This map shows the geographic impact of T.G. Clarkson'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 T.G. Clarkson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.G. Clarkson more than expected).

Fields of papers citing papers by T.G. Clarkson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T.G. Clarkson. 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 T.G. Clarkson. The network helps show where T.G. Clarkson may publish in the future.

Co-authorship network of co-authors of T.G. Clarkson

This figure shows the co-authorship network connecting the top 25 collaborators of T.G. Clarkson. A scholar is included among the top collaborators of T.G. Clarkson 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 T.G. Clarkson. T.G. Clarkson 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.
Clarkson, T.G., et al.. (2009). Modeling of Multilayer Networks for Fault Restoration Analysis. 網際網路技術學刊. 10(1). 73–78. 1 indexed citations
2.
Papadopoulos, Christopher & T.G. Clarkson. (2003). Using an image resampling sequencer in a video compression system. 528–531.
3.
Christodoulou, Chris, John G. Taylor, T.G. Clarkson, & Denise Gorse. (2003). The noisy-leaky integrator model implemented using pRAMs. 1. 178–183.
4.
Ali, Maaruf, Christopher Papadopoulos, & T.G. Clarkson. (2003). The use of fractal theory in a video compression system. 220. 259–268.
5.
6.
Chambers, W.G., et al.. (2002). Use of matched filters for serial acquisition in a fast frequency-hopping system. 1 2 and 3. 161–165. 3 indexed citations
7.
Clarkson, T.G., et al.. (2002). A modular based parallel image processing system. 75. 930–933.
8.
Christodoulou, Chris, Guido Bugmann, & T.G. Clarkson. (2002). A spiking neuron model: applications and learning. Neural Networks. 15(7). 891–908. 34 indexed citations
9.
Clarkson, T.G., et al.. (2002). A 32-bit RISC processor board for a frequency hopping radio. 3. 357–361. 1 indexed citations
10.
Clarkson, T.G., et al.. (2000). ATM connection admission control using pRAM based artificial neural networks. Computer Networks. 34(1). 49–63. 1 indexed citations
11.
Papadopoulos, Christopher & T.G. Clarkson. (1995). Motion compensation using second-order geometric transformations. IEEE Transactions on Circuits and Systems for Video Technology. 5(4). 319–331. 15 indexed citations
12.
Petersen, Rasmus S., et al.. (1995). pRAM nets for detection of small targets in sequences of infra-red images. Neural Networks. 8(7-8). 1227–1237. 7 indexed citations
13.
Christodoulou, Chris & T.G. Clarkson. (1995). A review on the stochastic firing behaviour of real neurons and how it can be modelled. Lecture notes in computer science. 223–230. 2 indexed citations
14.
Clarkson, T.G., et al.. (1993). A STOCHASTIC REVERSE INTERPOLATION ALGORITHM FOR REAL-VALUED FUNCTION LEARNING. UCL Discovery (University College London). 1 indexed citations
15.
Clarkson, T.G., et al.. (1993). The pRAM: an adaptive VLSI chip. IEEE Transactions on Neural Networks. 4(3). 408–412. 35 indexed citations
16.
Clarkson, T.G., et al.. (1993). Generalization in probabilistic RAM nets. IEEE Transactions on Neural Networks. 4(2). 360–363. 12 indexed citations
17.
Clarkson, T.G., et al.. (1993). Optimum erasure threshold in Reed-Solomon coded differential 16 star-QAM modulation. Electronics Letters. 29(20). 1746–1748. 1 indexed citations
18.
Clarkson, T.G., Denise Gorse, & John G. Taylor. (1992). From Wetware to Hardware: Reverse Engineering Using Probabilistic RAMs. Journal of Intelligent Systems. 2(1-4). 11–30. 12 indexed citations
19.
Clarkson, T.G.. (1990). Frequency-hopping radio filter design using the DSP16 processor. Electronics Letters. 26(9). 586–587. 3 indexed citations
20.
Clarkson, T.G., Denise Gorse, & J.G. Taylor. (1989). Hardware realisable models of neural processing. 242–246. 19 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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