M.A. Yoder

14 papers and 166 indexed citations
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About

M.A. Yoder is a scholar working on Media Technology, Artificial Intelligence and Architecture. According to data from OpenAlex, M.A. Yoder has authored 14 papers receiving a total of 166 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Media Technology, 3 papers in Artificial Intelligence and 3 papers in Architecture. Recurrent topics in M.A. Yoder’s work include Experimental Learning in Engineering (5 papers), Engineering Education and Pedagogy (3 papers) and Natural Language Processing Techniques (2 papers). M.A. Yoder is often cited by papers focused on Experimental Learning in Engineering (5 papers), Engineering Education and Pedagogy (3 papers) and Natural Language Processing Techniques (2 papers). M.A. Yoder collaborates with scholars based in United States. M.A. Yoder's co-authors include James H. McClellan, Ronald W. Schafer, Richard H. Haude, Aditi Sheshadri, Thomas Robinson, Leah H. Jamieson, G.C. Orsak and S.C. Douglas and has published in prestigious journals such as Geophysical Research Letters, IEEE Signal Processing Magazine and IEEE Transactions on Computers.

In The Last Decade

Co-authorship network of co-authors of M.A. Yoder

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

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.

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).

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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