Erik Anderson

850 citations
22 papers · 535 indexed · h-index 11
Topics
Scientific Computing and Data Management (6 papers)Neural dynamics and brain function (5 papers)EEG and Brain-Computer Interfaces (5 papers)

In The Last Decade

Erik Anderson

21 papers receiving 524 citations

Peers

Erik Anderson
Comparison fields: 5 of 95
  • Cognitive Neuroscience 316
  • Computer Vision and Pattern Recognition 87
  • Neurology 83
  • Information Systems and Management 56
  • Cellular and Molecular Neuroscience 55
Replace Sacha J. van Albada with:
Sacha J. van Albada Germany
Mainak Jas United States
Maximilian Scherer Germany
Karthik Sundaresan United States
Christopher W. Tyler United States
Jacqueline M. Fulvio United States
Sunjun Kim South Korea
Kazuaki Mæda United States
Jeremy B. Badler United States
Gavin Brelstaff Italy
Erik Anderson relative to Sacha J. van Albada Germany Sacha J. van Albada's profile →
Citations per field
00.5×
Sacha J. van Albada · 1×
Citations per year

Countries citing papers authored by Erik Anderson

Since Specialization
Citations

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

Fields of papers citing papers by Erik Anderson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erik Anderson

This figure shows the co-authorship network connecting the top 25 collaborators of Erik Anderson. A scholar is included among the top collaborators of Erik Anderson 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 Anderson. Erik Anderson 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
#WorkIndexed citations
1 7
2 8
3 1
4 12
5 20
6 32
7 244
8 1
9 27
10 1
11 8
12
The analysis and visualization of electroencephalography data using a provenance-enabled environment and its applications to visualization
1
13 30
14 32
15 5
16 10
17 6
18 2
19 16
20 14

About Erik Anderson

Erik Anderson is a scholar working on Information Systems and Management, Computer Graphics and Computer-Aided Design and Cognitive Neuroscience, having authored 22 papers that have together received 535 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (6 papers), Neural dynamics and brain function (5 papers) and EEG and Brain-Computer Interfaces (5 papers). The work is most often cited by research in Cognitive Neuroscience (316 citations), Neurology (83 citations) and Information Systems and Management (56 citations). Erik Anderson has collaborated with scholars based in United States, Brazil and Argentina. Frequent co-authors include Don M. Tucker, Phan Luu, Sergei Turovets, Claudio Silva, Catherine Poulsen, Jasmine Song, Kai Li, Colin Davey, Gilbert A. Preston and Emanuele Santos. Their work appears in journals such as Journal of Cognitive Neuroscience, Frontiers in Human Neuroscience and IEEE Transactions on Visualization and Computer Graphics.

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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