Eric M. Johnson

5.7k total citations
41 papers, 536 citations indexed

About

Eric M. Johnson is a scholar working on Cognitive Neuroscience, Signal Processing and Electrical and Electronic Engineering. According to data from OpenAlex, Eric M. Johnson has authored 41 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 13 papers in Signal Processing and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Eric M. Johnson's work include Hearing Loss and Rehabilitation (13 papers), Speech and Audio Processing (12 papers) and Radio Frequency Integrated Circuit Design (6 papers). Eric M. Johnson is often cited by papers focused on Hearing Loss and Rehabilitation (13 papers), Speech and Audio Processing (12 papers) and Radio Frequency Integrated Circuit Design (6 papers). Eric M. Johnson collaborates with scholars based in United States, United Kingdom and Germany. Eric M. Johnson's co-authors include T. B. Sutton, Eric W. Healy, DeLiang Wang, Abhinav Humar, Kristen J. Gillingham, David E.R. Sutherland, John S. Najarian, Arthur J. Matas, C. S. Hodges and Yan Zhao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of the Acoustical Society of America and IEEE Transactions on Microwave Theory and Techniques.

In The Last Decade

Eric M. Johnson

39 papers receiving 503 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric M. Johnson United States 13 109 99 99 94 67 41 536
Dongge Li United States 12 232 2.1× 25 0.3× 9 0.1× 61 0.6× 7 0.1× 37 861
Junming Xu China 14 89 0.8× 9 0.1× 17 0.2× 58 0.6× 11 0.2× 34 884
Tong Lu China 11 13 0.1× 212 2.1× 25 0.3× 30 0.3× 4 0.1× 20 418
Itai Gat Israel 21 82 0.8× 181 1.8× 1 0.0× 45 0.5× 15 0.2× 83 1.2k
Alexander Alvarado United States 9 34 0.3× 90 0.9× 11 0.1× 72 1.1× 15 700
Sandra Johnson United States 12 10 0.1× 75 0.8× 12 0.1× 46 0.7× 52 635
Ted Mau United States 20 130 1.2× 23 0.2× 149 1.6× 3 0.0× 78 1.3k
Basel Abu‐Jamous United Kingdom 11 30 0.3× 111 1.1× 7 0.1× 48 0.7× 26 423
José Luís Herrera United States 15 20 0.2× 25 0.3× 32 0.3× 9 0.1× 37 780
Daniel Jiménez‐Carretero Spain 13 25 0.2× 8 0.1× 24 0.3× 33 0.5× 36 575

Countries citing papers authored by Eric M. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Eric M. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric M. Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of Eric M. Johnson. A scholar is included among the top collaborators of Eric M. 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 Eric M. Johnson. Eric M. 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.
Healy, Eric W., Eric M. Johnson, Ashutosh Pandey, & DeLiang Wang. (2023). Progress made in the efficacy and viability of deep-learning-based noise reduction. The Journal of the Acoustical Society of America. 153(5). 2751–2751. 8 indexed citations
2.
Johnson, Eric M., William L. Kath, & Madhav Mani. (2022). EMBEDR: Distinguishing signal from noise in single-cell omics data. Patterns. 3(3). 100443–100443. 12 indexed citations
3.
Healy, Eric W., Ke Tan, Eric M. Johnson, & DeLiang Wang. (2021). An effectively causal deep learning algorithm to increase intelligibility in untrained noises for hearing-impaired listeners. The Journal of the Acoustical Society of America. 149(6). 3943–3953. 15 indexed citations
4.
Healy, Eric W., et al.. (2020). A talker-independent deep learning algorithm to increase intelligibility for hearing-impaired listeners in reverberant competing talker conditions. The Journal of the Acoustical Society of America. 147(6). 4106–4118. 10 indexed citations
5.
Magnani, Matthew, et al.. (2019). Evaluating claims for an early peopling of the Americas: experimental design and the Cerutti Mastodon site. Antiquity. 93(369). 789–795. 14 indexed citations
6.
Zhao, Yan, DeLiang Wang, Eric M. Johnson, & Eric W. Healy. (2019). A deep learning based segregation algorithm to increase speech intelligibility for hearing-impaired listeners in reverberant-noisy conditions. The Journal of the Acoustical Society of America. 145(3_Supplement). 1874–1874. 1 indexed citations
7.
Smith, Bruce L., Eric M. Johnson, & Rachel Hayes‐Harb. (2019). ESL learners’ intra-speaker variability in producing American English tense and lax vowels. 5(1). 139–164. 5 indexed citations
8.
Zhao, Yan, DeLiang Wang, Eric M. Johnson, & Eric W. Healy. (2018). A deep learning based segregation algorithm to increase speech intelligibility for hearing-impaired listeners in reverberant-noisy conditions. The Journal of the Acoustical Society of America. 144(3). 1627–1637. 32 indexed citations
9.
10.
Steiner‐Khamsi, Gita, Iveta Silova, & Eric M. Johnson. (2013). Neoliberalism liberally applied: Educational policy borrowing in Central Asia. 237–265. 12 indexed citations
11.
Johnson, Eric M., et al.. (2012). The effects of material interfaces on thermal resistance values for high-power microwave transistors. View. 1–5. 1 indexed citations
12.
Aaen, Peter H., John Wood, Lei Zhang, et al.. (2012). Multiphysics Modeling of RF and Microwave High-Power Transistors. IEEE Transactions on Microwave Theory and Techniques. 60(12). 4013–4023. 21 indexed citations
13.
Martin, Lynn B., Eric M. Johnson, Chelsea R. Hutch, & Randy J. Nelson. (2007). 6-MBOA affects testis size, but not delayed-type hypersensitivity, in white-footed mice (Peromyscus leucopus). Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology. 149(2). 181–187. 12 indexed citations
14.
Johnson, Eric M., et al.. (2004). Synthesizing test data for fraud detection systems. Chalmers Research (Chalmers University of Technology). 384–394. 63 indexed citations
15.
Blakey, P.A. & Eric M. Johnson. (2003). Generalized Kushner analysis of RF power amplifiers. 2. 521–524. 3 indexed citations
16.
Johnson, Eric M., et al.. (2002). Mabire: A Dying Language of Chad. Americanae (AECID Library). 2 indexed citations
17.
Johnson, Eric M., et al.. (2001). A SOCIOLINGUISTIC SURVEY OF THE UBI LANGUAGE OF CHAD. The COCOON platform (University of Paris). 1 indexed citations
18.
Humar, Abhinav, Eric M. Johnson, William D. Payne, et al.. (1998). The acutely ischemic extremity after kidney transplant: An approach to management. Surgery. 123(3). 344–350. 1 indexed citations
19.
Humar, Abhinav, Eric M. Johnson, David E.R. Sutherland, et al.. (1997). Effect of initial slow graft function on renal allograft rejection and survival. Clinical Transplantation. 11(6). 623–627. 124 indexed citations
20.
Johnson, Eric M., T. B. Sutton, & C. S. Hodges. (1996). Peltaster fructicola: A New Species in the Complex of Fungi Causing Apple Sooty Blotch Disease. Mycologia. 88(1). 114–114. 32 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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