Michael T. Johnson

3.3k citations
137 papers · 2.2k · h-index 29

Impact in

Papers in

Michael T. Johnson

130 papers receiving 2.0k citations

Peers

Michael T. Johnson
Comparison fields: 5 of 155
  • Developmental Biology 324
  • Signal Processing 876
  • Artificial Intelligence 636
  • Applied Microbiology and Biotechnology 30
  • Experimental and Cognitive Psychology 194
Replace Stavros Ntalampiras with:
Stavros Ntalampiras Italy
Diego H. Milone Argentina
Carlos N. Silla Brazil
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Citations per year

Countries citing papers authored by Michael T. Johnson

Since Specialization
Citations

This map shows the geographic impact of Michael T. Johnson'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 Michael T. Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael T. Johnson more than expected).

Fields of papers citing papers by Michael T. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael T. Johnson. 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 Michael T. Johnson. The network helps show where Michael T. Johnson may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael T. Johnson, 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 Michael T. Johnson Line = papers co-authored together Michael T. Johnson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 137 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004130
2 2007104
3 200097
4 200583
5 201979
6 201178
7 200677
8 201165
9 200656
10 200554
11 201950
12 200545
13 200940
14 201138
15 199738
16 200537
17 201036
18 201836
19 201536
20 201234

About Michael T. Johnson

Michael T. Johnson is a scholar working on Signal Processing, Artificial Intelligence, Experimental and Cognitive Psychology, Developmental Biology and Ecology, having authored 137 papers that have together received 2.2k indexed citations. Recurring topics across this work include Speech and Audio Processing (62 papers), Speech Recognition and Synthesis (49 papers), Music and Audio Processing (30 papers), Phonetics and Phonology Research (23 papers), Animal Vocal Communication and Behavior (19 papers), Natural Language Processing Techniques (16 papers), Marine animal studies overview (15 papers) and Advanced Adaptive Filtering Techniques (12 papers). The work is most often cited by research in Developmental Biology (324 citations), Signal Processing (876 citations), Artificial Intelligence (636 citations), Applied Microbiology and Biotechnology (30 citations) and Experimental and Cognitive Psychology (194 citations). Michael T. Johnson has collaborated with scholars based in United States, China and Poland. Frequent co-authors include Richard J. Povinelli, A.C. Lindgren, Patrick J. Clemins, Jinjin Ye, Jia Liu, Kirsten M. Leong, Anne Savage, Jidong Tao, Tomasz S. Osiejuk and Yuming Zhang. Their work appears in journals such as The Journal of the Acoustical Society of America, Speech Communication, IEEE Transactions on Audio Speech and Language Processing, IEEE Signal Processing Letters and Cancer.

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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