Marc D. Riedel

2.6k citations
81 papers · 1.9k indexed · h-index 24
Topics
Error Correcting Code Techniques (20 papers)Advanced biosensing and bioanalysis techniques (20 papers)Low-power high-performance VLSI design (18 papers)
Partner nations
United StatesChinaCanada

In The Last Decade

Marc D. Riedel

79 papers receiving 1.8k citations

Peers

Marc D. Riedel
Comparison fields: 5 of 71
  • Electrical and Electronic Engineering 1.1k
  • Computer Networks and Communications 985
  • Artificial Intelligence 819
  • Molecular Biology 368
  • Computational Theory and Mathematics 262
Replace Weikang Qian with:
Weikang Qian China
Ron M. Roth Israel
Armin Alaghi United States
Swaroop Ghosh United States
Ali Sheikholeslami Canada
Salvatore Pontarelli Italy
Khaled Benkrid United Kingdom
P.P. Chaudhuri India
Kees A. Schouhamer Immink Netherlands
Masato Motomura Japan
Marc D. Riedel relative to Weikang Qian China Weikang Qian's profile →
Citations per field
00.5×4.5×
Weikang Qian · 1×
Citations per year

Countries citing papers authored by Marc D. Riedel

Since Specialization
Citations

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

Fields of papers citing papers by Marc D. Riedel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc D. Riedel. 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 Marc D. Riedel. The network helps show where Marc D. Riedel may publish in the future.

Co-authorship network of co-authors of Marc D. Riedel

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 8
2 2
3 5
4 3
5 4
6 3
7 26
8 12
9 1
10 26
11 23
12 5
13 38
14 35
15 12
16 9
17 10
18 11
19 6
20 35

About Marc D. Riedel

Marc D. Riedel is a scholar working on Hardware and Architecture, Computational Theory and Mathematics and Computer Networks and Communications, having authored 81 papers that have together received 1.9k indexed citations. Recurring topics across this work include Error Correcting Code Techniques (20 papers), Advanced biosensing and bioanalysis techniques (20 papers) and Low-power high-performance VLSI design (18 papers). The work is most often cited by research in Computer Networks and Communications (985 citations), Hardware and Architecture (176 citations) and Artificial Intelligence (819 citations). Marc D. Riedel has collaborated with scholars based in United States, China and Canada. Frequent co-authors include David J. Lilja, Weikang Qian, Kia Bazargan, Keshab K. Parhi, M. Hassan Najafi, Xin Li, Hua Jiang, Peng Li, Peng Li and Jehoshua Bruck. Their work appears in journals such as Nature Communications, PLoS ONE and Scientific Reports.

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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