Mark Robertson

1.7k citations
60 papers · 1.3k · h-index 18

Impact in

Papers in

Mark Robertson

55 papers receiving 1.3k citations

Peers

Mark Robertson
Comparison fields: 5 of 117
  • Computer Vision and Pattern Recognition 566
  • Computer Graphics and Computer-Aided Design 68
  • Media Technology 137
  • Polymers and Plastics 176
  • Electronic, Optical and Magnetic Materials 135
Replace Jinyu Ma with:
Jinyu Ma China
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An-Bang Wang Taiwan
T.Z.N. Sokkar Egypt
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Mark Robertson relative to Jinyu Ma China Jinyu Ma's profile →
Citations per field
00.5×5×10×15×20×22.7×
Jinyu Ma · 1×
Citations per year

Countries citing papers authored by Mark Robertson

Since Specialization
Citations

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

Fields of papers citing papers by Mark Robertson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mark Robertson, 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 Mark Robertson Line = papers co-authored together Mark Robertson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021201
2 2003190
3 2003170
4 2005100
5 200586
6 200348
7 202242
8 202334
9 202232
10 202330
11 202226
12 199822
13
Multi-facility survey of oligonucleotide synthesis and an examination of the performance of unpurified primers in automated DNA sequencing.
199622
14 199021
15 202220
16 200218
17 202217
18 202417
19 200817
20 202216

About Mark Robertson

Mark Robertson is a scholar working on Computer Vision and Pattern Recognition, Materials Chemistry, Mechanical Engineering, Polymers and Plastics and Electronic, Optical and Magnetic Materials, having authored 60 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (12 papers), Image and Signal Denoising Methods (12 papers), Advanced Vision and Imaging (8 papers), Advanced Data Compression Techniques (7 papers), Supercapacitor Materials and Fabrication (7 papers), Membrane Separation and Gas Transport (6 papers), Mesoporous Materials and Catalysis (6 papers) and Carbon Dioxide Capture Technologies (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (566 citations), Computer Graphics and Computer-Aided Design (68 citations), Media Technology (137 citations), Polymers and Plastics (176 citations) and Electronic, Optical and Magnetic Materials (135 citations). Mark Robertson has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Robert Louis Stevenson, Zhe Qiang, Sean Borman, Changhuai Ye, Meifang Zhu, Guang Wang, Bin Sun, Anthony Griffin, Paul N. Smith and A. Atkinson. Their work appears in journals such as Macromolecular Rapid Communications, IEEE Transactions on Circuits and Systems for Video Technology, ACS Applied Polymer Materials, Nature Communications and ACS Omega.

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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