Mark Horton

1.4k total citations
7 papers, 170 citations indexed

About

Mark Horton is a scholar working on Materials Chemistry, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Mark Horton has authored 7 papers receiving a total of 170 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Materials Chemistry, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Artificial Intelligence. Recurrent topics in Mark Horton's work include Carbon Nanotubes in Composites (4 papers), Nanofluid Flow and Heat Transfer (2 papers) and Advanced Neural Network Applications (2 papers). Mark Horton is often cited by papers focused on Carbon Nanotubes in Composites (4 papers), Nanofluid Flow and Heat Transfer (2 papers) and Advanced Neural Network Applications (2 papers). Mark Horton collaborates with scholars based in United States, United Arab Emirates and China. Mark Horton's co-authors include Haiping Hong, Chen Li, Sungho Jin, Bo Shi, G. P. Peterson, Xinning Luan, G. P. Peterson, Tinoosh Mohsenin, Nicholas R. Waytowich and Greg Christensen and has published in prestigious journals such as Journal of Applied Physics, Thermochimica Acta and Journal of Nanoscience and Nanotechnology.

In The Last Decade

Mark Horton

7 papers receiving 167 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark Horton United States	7	78	57	51	42	26	7	170
Jae-Eun Park South Korea	12	66 0.8×	42 0.7×	77 1.5×	123 2.9×	8 0.3×	37	326
Junfeng Zhao China	9	52 0.7×	40 0.7×	118 2.3×	95 2.3×	9 0.3×	31	239
Shengchen Li China	11	30 0.4×	103 1.8×	62 1.2×	45 1.1×	31 1.2×	42	306
Mengya Xu China	8	177 2.3×	40 0.7×	29 0.6×	36 0.9×	42 1.6×	25	297
Dasong Li China	7	53 0.7×	41 0.7×	36 0.7×	33 0.8×	8 0.3×	7	237
Raudah Abu Bakar Malaysia	10	133 1.7×	73 1.3×	71 1.4×	157 3.7×	6 0.2×	41	344
Dae‐Yeon Kim South Korea	7	122 1.6×	57 1.0×	94 1.8×	195 4.6×	6 0.2×	20	361
Krishna Veni Selvan Malaysia	6	110 1.4×	166 2.9×	164 3.2×	122 2.9×	5 0.2×	9	336
Ting Bu China	11	134 1.7×	42 0.7×	13 0.3×	143 3.4×	46 1.8×	25	332
Yaxin Zhang China	9	69 0.9×	23 0.4×	37 0.7×	225 5.4×	11 0.4×	41	294

Countries citing papers authored by Mark Horton

Since Specialization

Citations

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

Fields of papers citing papers by Mark Horton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Horton. 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 Mark Horton. The network helps show where Mark Horton may publish in the future.

Co-authorship network of co-authors of Mark Horton

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Horton. A scholar is included among the top collaborators of Mark Horton 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 Mark Horton. Mark Horton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Horton, Mark, et al.. (2021). A Flexible Multichannel EEG Artifact Identification Processor using Depthwise-Separable Convolutional Neural Networks. ACM Journal on Emerging Technologies in Computing Systems. 17(2). 1–21. 16 indexed citations

2.

Hosseini, Morteza, et al.. (2019). On the Complexity Reduction of Dense Layers from O(N2) to O(NlogN) with Cyclic Sparsely Connected Layers. 1–6. 17 indexed citations

3.

Hong, Haiping, et al.. (2019). A Rheological Investigation of Carbon Nanotube Grease. Journal of Nanoscience and Nanotechnology. 19(7). 4046–4051. 7 indexed citations

4.

Horton, Mark, et al.. (2019). On the use of Deep Autoencoders for Efficient Embedded Reinforcement Learning. 507–512. 14 indexed citations

5.

Younes, Hammad, et al.. (2018). TC Study of Manufacturable Nano Grease: Evidence of 3D Network Structure. Nanomanufacturing and Metrology. 1(3). 148–155. 7 indexed citations

6.

Hong, Haiping, Xinning Luan, Mark Horton, Chen Li, & G. P. Peterson. (2011). Alignment of carbon nanotubes comprising magnetically sensitive metal oxides in heat transfer nanofluids. Thermochimica Acta. 525(1-2). 87–92. 44 indexed citations

7.

Horton, Mark, Haiping Hong, Chen Li, et al.. (2010). Magnetic alignment of Ni-coated single wall carbon nanotubes in heat transfer nanofluids. Journal of Applied Physics. 107(10). 65 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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