Mark McLean

22 papers receiving 482 citations

Peers

Mark McLean
Comparison fields: 5 of 47
  • Signal Processing 171
  • Geometry and Topology 108
  • Mathematical Physics 83
  • Computer Networks and Communications 147
  • Artificial Intelligence 177
Replace Stephen F. Siegel with:
Stephen F. Siegel United States
Lei Yu China
Zheng Huang China
Vince Lyzinski United States
Donniell E. Fishkind United States
Türker Bı́yı́koğlu Türkiye
Amir Abboud United States
Manish Kumar India
Wafaa S. Sayed Egypt
Daniel Barsky United States
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Citations per field
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Stephen F. Siegel · 1×
Citations per year

Countries citing papers authored by Mark McLean

Since Specialization
Citations

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

Fields of papers citing papers by Mark McLean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Mark McLean, 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 McLean Line = papers co-authored together Mark McLean links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016116
2 201975
3 201351
4 201436
5 202131
6 200931
7 201927
8 201720
9 201519
10 201418
11 201217
12 201815
13 200913
14 201210
15 20119
16 20115
17 20144
18
Bounding Lagrangian widths via geodesic paths
20163
19 20203
20 20183

About Mark McLean

Mark McLean is a scholar working on Geometry and Topology, Mathematical Physics, Artificial Intelligence, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience, having authored 23 papers that have together received 509 indexed citations. Recurring topics across this work include Geometric and Algebraic Topology (10 papers), Algebraic Geometry and Number Theory (8 papers), Homotopy and Cohomology in Algebraic Topology (8 papers), Advanced Memory and Neural Computing (6 papers), Neuroscience and Neural Engineering (5 papers), Anomaly Detection Techniques and Applications (3 papers), CCD and CMOS Imaging Sensors (3 papers) and Advanced Malware Detection Techniques (3 papers). The work is most often cited by research in Signal Processing (171 citations), Geometry and Topology (108 citations), Mathematical Physics (83 citations), Computer Networks and Communications (147 citations) and Artificial Intelligence (177 citations). Mark McLean has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Edward Raff, Jared Sylvester, Chris Yakopcic, Raqibul Hasan, Tarek M. Taha, Richard Zak, Charles Nicholas, D.A. Palmer, Christopher D. Krieger and Hyrum S. Anderson. Their work appears in journals such as Geometry & Topology, Geometric and Functional Analysis, Selecta Mathematica, Algebraic & Geometric Topology and IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

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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