Science Explorer Back to mapMap
Discussion
Researcher · University of Minnesota · United States

Marc D. Riedel

Marc D. Riedel publishes mostly in Molecular Biology, Electrical and Electronic Engineering and Artificial Intelligence, on topics such as Advanced biosensing and bioanalysis techniques, Error Correcting Code Techniques and Low-power high-performance VLSI design.

ORCID 0000-0002-3318-346X OpenAlex
World rank
#1,267,967
of 7,710,434 ranked researchers
Rank in United States
#404,325
of 1,627,098
Works
124
Citations
2.6k
Citations per work
21.2
h-index
27
i10-index 54Top 19% in Molecular Biology
Marc D. Riedel

What does Marc D. Riedel research?

Marc D. Riedel's work is mostly in Computer Science (38%), Biochemistry, Genetics and Molecular Biology (23%), Engineering (20%).

Physical Sciences: 71 works · 57.2% of their workComputer Science: 47 works · 37.7% of their workArtificial Intelligence: 15 works · 12.0% of their workComputer Networks and Communications: 13 works · 10.3% of their workComputational Theory and Mathematics: 12 works · 9.7% of their workHardware and Architecture: 7 works · 5.7% of their workEngineering: 24 works · 19.5% of their workElectrical and Electronic Engineering: 24 works · 19.5% of their workLife Sciences: 29 works · 23.2% of their workBiochemistry, Genetics and Molecular Biology: 29 works · 23.2% of their workMolecular Biology: 29 works · 23.2% of their workEverything else: 24 works · 19.6% of their workTHEIR WORKMarc D. Riedel124works
Life Sciences23%Physical Sciences57%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science4737.7%
    2. Engineering2419.5%
    1. Biochemistry, Genetics and Molecular Biology2923.2%
  3. Everything else2419.6%
  1. 1Molecular Biology23% of their works
  2. 2Electrical and Electronic Engineering20% of their works
  3. 3Artificial Intelligence12% of their works
  4. 4Computer Networks and Communications10% of their works
  5. 5Computational Theory and Mathematics10% of their works
  6. 6Hardware and Architecture6% of their works

Research topics

Which keywords describe Marc D. Riedel's research?

The keywords of their largest research topics: DNA nanotechnology, Self-Assembly, LDPC Codes, Polar Codes, Low-Power, VLSI Circuits, DNA Computing and Molecular Computation.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 16 words, with their numbers
  1. DNA nanotechnology251 topic
  2. Self-Assembly251 topic
  3. LDPC Codes231 topic
  4. Polar Codes231 topic
  5. Low-Power221 topic
  6. VLSI Circuits221 topic
  7. DNA Computing201 topic
  8. Molecular Computation201 topic
  9. Gene Regulatory Networks171 topic
  10. Stochastic Gene Expression171 topic
  11. Genetic Programming151 topic
  12. Machine Learning151 topic
  13. Quantum Computation151 topic
  14. Quantum Information151 topic
  15. Model Checking121 topic
  16. Symbolic Model Checker121 topic

Where does Marc D. Riedel work?

Marc D. Riedel's main affiliation in the publication record is University of Minnesota, United States.

How many publications and citations does Marc D. Riedel have?

OpenAlex counts 124 works and 2,630 citations for Marc D. Riedel, an h-index of 27, ranking #1,267,967 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Other researchers named Marc D. Riedel

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

Ask a question or share a note about Marc D. Riedel. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.