Mark McDermott

13 papers receiving 334 citations

Peers

Mark McDermott
Comparison fields: 5 of 48
  • Bioengineering 115
  • Cellular and Molecular Neuroscience 99
  • Biomedical Engineering 240
  • Electrochemistry 28
  • Electrical and Electronic Engineering 188
Replace Arun Manickam with:
Arun Manickam United States
Claudio Stagni Italy
Kara Bocan United States
Reza Navid United States
Meisam Honarvar Nazari United States
Takeshi Hizawa Japan
Mighten C. Yip United States
Cristina Boero Switzerland
Raziyeh Bounik Switzerland
Evgeny Pikhay Israel
Mark McDermott relative to Arun Manickam United States Arun Manickam's profile →
Citations per field
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Arun Manickam · 1×
Citations per year

Countries citing papers authored by Mark McDermott

Since Specialization
Citations

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

Fields of papers citing papers by Mark McDermott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Mark McDermott, 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 McDermott Line = papers co-authored together Mark McDermott links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2010190
2 201059
3 201745
4 201927
5 19708
6 20177
7 20213
8 20203
9 20033
10 20073
11 20093
12 19892
13 20142
14 20120

About Mark McDermott

Mark McDermott is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Hardware and Architecture, Bioengineering and Electrochemistry, having authored 14 papers that have together received 355 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (4 papers), Embedded Systems Design Techniques (3 papers), Electrochemical Analysis and Applications (3 papers), Analytical Chemistry and Sensors (3 papers), Neuroscience and Neural Engineering (2 papers), Experimental Learning in Engineering (2 papers), Advanced Biosensing Techniques and Applications (2 papers) and Mechatronics Education and Applications (1 paper). The work is most often cited by research in Bioengineering (115 citations), Cellular and Molecular Neuroscience (99 citations), Biomedical Engineering (240 citations), Electrochemistry (28 citations) and Electrical and Electronic Engineering (188 citations). Mark McDermott has collaborated with scholars based in United States, India and Serbia. Frequent co-authors include Arjang Hassibi, Arun Manickam, Aaron Chevalier, Andrew D. Ellington, Nicholas Wood, Robert G. Kuimelis, Pejman Naraghi‐Arani, Gary K. Schoolnik, J. Helszajn and Yang Liu. Their work appears in journals such as IEEE Journal of Solid-State Circuits, IEEE Transactions on Biomedical Circuits and Systems, IEEE Transactions on Microwave Theory and Techniques, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and International Journal of Electrical and Computer Engineering (IJECE).

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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