Michael T. Johnson

3.3k total citations
137 papers, 2.2k citations indexed

About

Michael T. Johnson is a scholar working on Signal Processing, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Michael T. Johnson has authored 137 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Signal Processing, 62 papers in Artificial Intelligence and 24 papers in Experimental and Cognitive Psychology. Recurrent topics in Michael T. Johnson's work include Speech and Audio Processing (62 papers), Speech Recognition and Synthesis (49 papers) and Music and Audio Processing (30 papers). Michael T. Johnson is often cited by papers focused on Speech and Audio Processing (62 papers), Speech Recognition and Synthesis (49 papers) and Music and Audio Processing (30 papers). Michael T. Johnson collaborates with scholars based in United States, China and Poland. Michael T. Johnson's co-authors include Richard J. Povinelli, A.C. Lindgren, Patrick J. Clemins, Jinjin Ye, Jia Liu, Jidong Tao, Anne Savage, Kirsten M. Leong, Tomasz S. Osiejuk and Qiyue Wang and has published in prestigious journals such as Cancer, CHEST Journal and IEEE Transactions on Signal Processing.

In The Last Decade

Michael T. Johnson

129 papers receiving 2.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael T. Johnson United States 29 876 636 324 221 219 137 2.2k
Diego H. Milone Argentina 26 355 0.4× 543 0.9× 78 0.2× 57 0.3× 153 0.7× 129 2.3k
Stavros Ntalampiras Italy 22 723 0.8× 487 0.8× 258 0.8× 108 0.5× 136 0.6× 104 1.5k
Kun Qian China 26 560 0.6× 406 0.6× 61 0.2× 26 0.1× 216 1.0× 149 2.0k
Nikos Fakotakis Greece 25 862 1.0× 1.5k 2.3× 94 0.3× 26 0.1× 173 0.8× 170 2.6k
Rif A. Saurous United States 12 2.2k 2.5× 2.0k 3.2× 118 0.4× 43 0.2× 280 1.3× 16 3.5k
Chung‐Cheng Chiu Taiwan 21 2.8k 3.2× 3.8k 6.0× 76 0.2× 29 0.1× 256 1.2× 74 5.3k
D.A. Reynolds United States 31 4.9k 5.6× 5.0k 7.8× 58 0.2× 110 0.5× 290 1.3× 53 6.1k
Ian McLoughlin Singapore 23 1.5k 1.7× 1.1k 1.7× 80 0.2× 9 0.0× 294 1.3× 228 2.7k
Goutam Saha India 30 1.4k 1.6× 908 1.4× 45 0.1× 9 0.0× 234 1.1× 146 3.0k
Tuomas Virtanen Finland 49 6.6k 7.6× 2.7k 4.2× 455 1.4× 69 0.3× 139 0.6× 286 9.5k

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-authorship network of co-authors of Michael T. Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of Michael T. Johnson. A scholar is included among the top collaborators of Michael T. Johnson 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 Michael T. Johnson. Michael T. Johnson 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
1.
Johnson, Michael T., et al.. (2024). Accurate synthesis of dysarthric Speech for ASR data augmentation. Speech Communication. 164. 103112–103112. 1 indexed citations
2.
Johnson, Michael T., et al.. (2018). Vaginal spindle cell epithelioma: A first complete MRI and histopathologic description. Clinical Imaging. 50. 181–184.
3.
Tan, Nelly, et al.. (2014). Women seeking second opinion for symptomatic uterine leiomyoma: role of comprehensive fibroid center. Journal of Therapeutic Ultrasound. 2(1). 3–3. 14 indexed citations
4.
Zhang, Wei-Qiang, et al.. (2013). RNN language model with word clustering and class-based output layer. EURASIP Journal on Audio Speech and Music Processing. 2013(1). 20 indexed citations
5.
Micek, Scott T., Michael T. Johnson, Richard M. Reichley, & Marin H. Kollef. (2012). An institutional perspective on the impact of recent antibiotic exposure on length of stay and hospital costs for patients with gram-negative sepsis. BMC Infectious Diseases. 12(1). 56–56. 33 indexed citations
6.
Zhang, Wei-Qiang, et al.. (2012). Bayesian Speaker Adaptation Based on a New Hierarchical Probabilistic Model. IEEE Transactions on Audio Speech and Language Processing. 20(7). 2002–2015. 3 indexed citations
7.
Fiebelkorn, Stacy, et al.. (2011). A novel application of the Margin of Exposure approach: Segregation of tobacco smoke toxicants. Food and Chemical Toxicology. 49(11). 2921–2933. 65 indexed citations
8.
Johnson, Michael T., Richard M. Reichley, Joan Hoppe‐Bauer, et al.. (2011). Impact of previous antibiotic therapy on outcome of Gram-negative severe sepsis*. Critical Care Medicine. 39(8). 1859–1865. 76 indexed citations
9.
Johnson, Michael T., et al.. (2008). The Sickle Cell Sabbath: a community program increases first‐time blood donors in the African American faith community. Transfusion. 49(3). 519–523. 21 indexed citations
10.
Kidd, Darren, Michael T. Johnson, & Julie Clements. (2007). Development of an in vitro corrosion/irritation prediction assay using the EpiDerm™ skin model. Toxicology in Vitro. 21(7). 1292–1297. 32 indexed citations
11.
Yaz, Edwin E., et al.. (2006). An Adaptive Kalman Filter for Removing Baseline Wandering. e-Publications@Marquette (Marquette University). 4 indexed citations
12.
Ye, Jinjin, Michael T. Johnson, & Richard J. Povinelli. (2003). Study of Attractor Variation in the Reconstructed Phase Space of Speech Signals. e-Publications@Marquette (Marquette University). 20. 3 indexed citations
13.
Liu, Xiaolin, Richard J. Povinelli, & Michael T. Johnson. (2003). Vowel Classification by Global Dynamic Modeling. e-Publications@Marquette (Marquette University). 5. 4 indexed citations
14.
Ye, Jinjin, Michael T. Johnson, & Richard J. Povinelli. (2003). Phoneme classification over the reconstructed phase space using principal component analysis.. e-Publications@Marquette (Marquette University). 19. 5 indexed citations
15.
Povinelli, Richard J., et al.. (2003). A Combined Sub-band and Reconstructed Phase Space Approach to Phoneme Classification. e-Publications@Marquette (Marquette University). 17. 5 indexed citations
16.
Johnson, Michael T. & Leah H. Jamieson. (2001). Temporal Features for Broadcast News Segmentation. The Journal of Organic Chemistry. 79(11). 5182–92. 1 indexed citations
17.
Surprenant, Aimée M., Mary P. Harper, Leah H. Jamieson, et al.. (1999). Familiarity and pronounceability of nouns and names. Behavior Research Methods, Instruments, & Computers. 31(4). 638–649. 7 indexed citations
18.
Monk, Bradley J., et al.. (1997). A Comparison of Intracavitary versus Interstitial Irradiation in the Treatment of Cervical Cancer. Gynecologic Oncology. 67(3). 241–247. 38 indexed citations
19.
Dras, Mark & Michael T. Johnson. (1996). Death and lightness: using a demographic model to find support verbs. arXiv (Cornell University). 6 indexed citations
20.
Smith, Robert A., Bahman Venus, Michael T. Johnson, & Carolyn Carter. (1990). Influence of Glottic Mechanism on Pulmonary Function after Acute Lung Injury. CHEST Journal. 98(1). 206–208. 1 indexed citations

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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