M.A. Yoder

699 citations
39 papers · 467 · 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 435 citations

Peers

M.A. Yoder
Comparison fields: 5 of 89
  • Architecture 105
  • Media Technology 233
  • Computer Science Applications 36
  • Signal Processing 64
  • Hardware and Architecture 19
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Citations per field
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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 23 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
Dsp First: A Multimedia Approach
1997117
2
Signal Processing First
2002116
3 199644
4 200228
5 202121
6 200218
7 200611
8 200210
9 201110
10
DSP First
199810
11 19959
12 19989
13 20027
14 20026
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, Modeling and Simulation, Computer Science Applications and Signal Processing, having authored 39 papers that have together received 467 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), Handwritten Text Recognition Techniques (2 papers), Engineering and Technology Innovations (2 papers) and Natural Language Processing Techniques (2 papers). The work is most often cited by research in Architecture (105 citations), Media Technology (233 citations), Computer Science Applications (36 citations), Signal Processing (64 citations) and Hardware and Architecture (19 citations). M.A. Yoder has collaborated with scholars based in United States. Frequent co-authors include James H. McClellan, Ronald W. Schafer, Thomas E. Robinson, Richard H. Haude, Aditi Sheshadri, S.C. Douglas, G.C. Orsak, L. Siegel, Leah H. Jamieson and John R. Treichler. Their work appears in journals such as IEEE Signal Processing Magazine, IEEE Transactions on Education, Geophysical Research Letters, IEEE Transactions on Computers 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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