M.A. Yoder

694 citations
39 papers · 440 · h-index 10

Impact in

  • Architecture top 0.5%
    • Engineering Education and Pedagogy
    • Experimental Learning in Engineering
    • Engineering Education and Curriculum Development

Papers in

    • Experimental Learning in Engineering 25
    • Engineering Education and Curriculum Development 5
    • Engineering Education and Pedagogy 18

M.A. Yoder

36 papers receiving 410 citations

Peers

M.A. Yoder
Comparison fields: 5 of 88
  • Architecture 103
  • Media Technology 228
  • Computer Science Applications 34
  • Signal Processing 57
  • Hardware and Architecture 18
Replace Patrik Vogt with:
Patrik Vogt Germany
Carlos Avilés‐Cruz Mexico
Franck Luthon France
Mireille Boutin United States
Tales Imbiriba United States
Bridget Benson United States
Jing‐Hua Yang China
Zengzhao Chen China
Gaihua Wang China
Eiji Kamioka Japan
M.A. Yoder relative to Patrik Vogt Germany Patrik Vogt's profile →
Citations per field
00.5×10×14.3×
Patrik Vogt · 1×
Citations per year

Countries citing papers authored by M.A. Yoder

Since Specialization
Citations

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

Fields of papers citing papers by M.A. Yoder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.A. Yoder. 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 M.A. Yoder. The network helps show where M.A. Yoder may publish in the future.

Co-authors

The 22 scholars most cited alongside M.A. Yoder, 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 M.A. Yoder Line = papers co-authored together M.A. Yoder links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Signal Processing First
2002111
2
Dsp First: A Multimedia Approach
1997109
3 199642
4 200227
5 202117
6 200217
7 200611
8 201110
9 200210
10
DSP First
19989
11 19989
12 19959
13 20027
14 20025
15 20055
16 20025
17 20104
18 20024
19 20023
20 20023

About M.A. Yoder

M.A. Yoder is a scholar working on Media Technology, Architecture, Artificial Intelligence, Biomedical Engineering and Signal Processing, having authored 39 papers that have together received 440 indexed citations. Recurring topics across this work include Experimental Learning in Engineering (25 papers), Engineering Education and Pedagogy (18 papers), Engineering Education and Curriculum Development (5 papers), Analog and Mixed-Signal Circuit Design (4 papers), Teaching and Learning Programming (3 papers), Natural Language Processing Techniques (2 papers), Neural Networks and Applications (2 papers) and Time Series Analysis and Forecasting (2 papers). The work is most often cited by research in Architecture (103 citations), Media Technology (228 citations), Computer Science Applications (34 citations), Signal Processing (57 citations) and Hardware and Architecture (18 citations). M.A. Yoder has collaborated with scholars based in United States. Frequent co-authors include James H. McClellan, Ronald W. Schafer, Richard H. Haude, Thomas Robinson, Aditi Sheshadri, S.C. Douglas, G.C. Orsak, L. Siegel, J Treichler and Leah H. Jamieson. Their work appears in journals such as IEEE Signal Processing Magazine, IEEE Transactions on Computers, IEEE Transactions on Education, Geophysical Research Letters and Psychological 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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