Erik C. Johnson

972 total citations
40 papers, 246 citations indexed

About

Erik C. Johnson is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Erik C. Johnson has authored 40 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 8 papers in Cellular and Molecular Neuroscience and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Erik C. Johnson's work include Neural dynamics and brain function (10 papers), Advanced Memory and Neural Computing (6 papers) and Neuroscience and Neural Engineering (6 papers). Erik C. Johnson is often cited by papers focused on Neural dynamics and brain function (10 papers), Advanced Memory and Neural Computing (6 papers) and Neuroscience and Neural Engineering (6 papers). Erik C. Johnson collaborates with scholars based in United States, Singapore and Germany. Erik C. Johnson's co-authors include James G. McGann, Michael C. Loui, Douglas L. Jones, Elton Strauss, Brett Robbins, William Gray-Roncal, Rama Ratnam, Jordan Matelsky, Brock A. Wester and Robert Doktor and has published in prestigious journals such as PLoS ONE, Scientific Reports and Clinical Orthopaedics and Related Research.

In The Last Decade

Erik C. Johnson

35 papers receiving 227 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erik C. Johnson United States 11 43 33 30 25 25 40 246
Adam Henschke Australia 11 59 1.4× 4 0.1× 110 3.7× 30 1.2× 16 0.6× 41 322
Jonathan Tyler United States 10 14 0.3× 39 1.2× 14 0.5× 10 0.4× 4 0.2× 22 317
Byron Newberry United States 9 26 0.6× 83 2.5× 18 0.6× 11 0.4× 10 0.4× 27 383
David Lindsay Australia 13 4 0.1× 41 1.2× 58 1.9× 23 0.9× 154 6.2× 45 472
Tuukka Lehtiniemi Finland 10 11 0.3× 9 0.3× 127 4.2× 36 1.4× 154 6.2× 20 420
Philippe Vincent‐Lamarre Canada 7 35 0.8× 35 1.1× 10 0.3× 34 1.4× 14 0.6× 15 188
Alice Xiang United States 6 16 0.4× 3 0.1× 35 1.2× 131 5.2× 4 0.2× 18 293
Yusef Hassan‐Montero Spain 7 5 0.1× 11 0.3× 14 0.5× 27 1.1× 5 0.2× 15 226
Cliff Hooker Australia 9 30 0.7× 9 0.3× 35 1.2× 9 0.4× 1 0.0× 20 263
Marcello Guarini Canada 9 64 1.5× 3 0.1× 19 0.6× 62 2.5× 10 0.4× 31 257

Countries citing papers authored by Erik C. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Erik C. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erik C. Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of Erik C. Johnson. A scholar is included among the top collaborators of Erik C. 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 Erik C. Johnson. Erik C. 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.
Loeffler, Alon, Forough Habibollahi, Tjitse van der Molen, et al.. (2025). Human neural organoid microphysiological systems show the building blocks necessary for basic learning and memory. Communications Biology. 8(1). 1237–1237. 1 indexed citations
2.
Martínez, H., et al.. (2025). Using BossDB Tools to Access, Visualize, and Share Volumetric Neuroscience Data. Current Protocols. 5(10). e70247–e70247.
3.
Johnson, Erik C., et al.. (2024). Organoid intelligence for developmental neurotoxicity testing. Frontiers in Cellular Neuroscience. 18. 1480845–1480845. 6 indexed citations
4.
Smirnova, Lena, Brian Caffo, & Erik C. Johnson. (2023). Reservoir computing with brain organoids. Nature Electronics. 6(12). 943–944. 2 indexed citations
5.
Kleissas, Dean M., Jordan Matelsky, Luis M. Rodríguez, et al.. (2022). The Brain Observatory Storage Service and Database (BossDB): A Cloud-Native Approach for Petascale Neuroscience Discovery. Frontiers in Neuroinformatics. 16. 828787–828787. 13 indexed citations
6.
Johnson, Erik C., et al.. (2022). Connectomics Annotation Metadata Standardization for Increased Accessibility and Queryability. Frontiers in Neuroinformatics. 16. 828458–828458. 2 indexed citations
7.
Johnson, Erik C., et al.. (2022). Investigating Echo State Network Performance with Biologically-Inspired Hierarchical Network Structure. 2022 International Joint Conference on Neural Networks (IJCNN). 1–8.
8.
Johnson, Erik C., et al.. (2022). A dynamic spike threshold with correlated noise predicts observed patterns of negative interval correlations in neuronal spike trains. Biological Cybernetics. 116(5-6). 611–633. 2 indexed citations
9.
Johnson, Erik C., et al.. (2022). A framework for rigorous evaluation of human performance in human and machine learning comparison studies. Scientific Reports. 12(1). 13 indexed citations
10.
Matelsky, Jordan, Erik C. Johnson, Jennifer Stiso, et al.. (2021). DotMotif: an open-source tool for connectome subgraph isomorphism search and graph queries. Scientific Reports. 11(1). 13045–13045. 14 indexed citations
11.
Johnson, Erik C., Vandana Sampathkumar, Vincent De Andrade, et al.. (2020). A three-dimensional thalamocortical dataset for characterizing brain heterogeneity. Scientific Data. 7(1). 358–358. 11 indexed citations
12.
Matelsky, Jordan, et al.. (2018). Container-Based Clinical Solutions for Portable and Reproducible Image Analysis. Journal of Digital Imaging. 31(3). 315–320. 10 indexed citations
13.
Johnson, Erik C., Douglas L. Jones, & Rama Ratnam. (2016). A minimum-error, energy-constrained neural code is an instantaneous-rate code. Journal of Computational Neuroscience. 40(2). 193–206. 5 indexed citations
14.
Johnson, Erik C., Brett Robbins, & Michael C. Loui. (2015). What Do Students Experience as Peer Leaders of Learning Teams. AEE Journal. 4(4). 16 indexed citations
15.
Jones, Douglas L., Erik C. Johnson, & Rama Ratnam. (2015). A stimulus-dependent spike threshold is an optimal neural coder. Frontiers in Computational Neuroscience. 9. 61–61. 11 indexed citations
16.
Loui, Michael C., et al.. (2013). Assessment of peer-led team learning in an engineering course for freshmen. International journal of engineering education. 29(6). 1440–1455. 10 indexed citations
17.
Johnson, Erik C., et al.. (2013). Sequential selection of window length for improved SSVEP-based BCI classification. PubMed. 2013. 7060–7063. 4 indexed citations
18.
McGann, James G. & Erik C. Johnson. (2006). Comparative Think Tanks, Politics and Public Policy. Edward Elgar Publishing eBooks. 53 indexed citations
19.
Johnson, Erik C. & Elton Strauss. (2003). Recent Advances in the Treatment of Gunshot Fractures of the Humeral Shaft. Clinical Orthopaedics and Related Research. 408(408). 126–132. 16 indexed citations
20.
Doktor, Robert, et al.. (2001). Designing web-based telemedicine training for military health care providers. Journal of Continuing Education in the Health Professions. 21(3). 162–169. 8 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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