E.V. Goodall

418 total citations
11 papers, 317 citations indexed

About

E.V. Goodall is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Biomedical Engineering. According to data from OpenAlex, E.V. Goodall has authored 11 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 6 papers in Cognitive Neuroscience and 4 papers in Biomedical Engineering. Recurrent topics in E.V. Goodall's work include Neuroscience and Neural Engineering (8 papers), Muscle activation and electromyography studies (4 papers) and Neural dynamics and brain function (3 papers). E.V. Goodall is often cited by papers focused on Neuroscience and Neural Engineering (8 papers), Muscle activation and electromyography studies (4 papers) and Neural dynamics and brain function (3 papers). E.V. Goodall collaborates with scholars based in United States, Netherlands and Denmark. E.V. Goodall's co-authors include K.W. Horch, L.J. Stensaas, Kenneth Horch, J. Holsheimer and Johannes J. Struijk and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Annals of Biomedical Engineering and Medical & Biological Engineering & Computing.

In The Last Decade

E.V. Goodall

9 papers receiving 304 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E.V. Goodall United States 6 267 214 165 45 32 11 317
Noah M. Ledbetter United States 10 324 1.2× 208 1.0× 245 1.5× 43 1.0× 25 0.8× 13 426
Hanlin Zhu United States 10 339 1.3× 142 0.7× 247 1.5× 57 1.3× 30 0.9× 18 474
Mónica Rojas-Martínez Spain 13 126 0.5× 382 1.8× 250 1.5× 9 0.2× 8 0.3× 30 503
Chrono S. Nu United States 5 236 0.9× 160 0.7× 185 1.1× 10 0.2× 10 0.3× 6 313
Devapratim Sarma United States 9 193 0.7× 107 0.5× 273 1.7× 9 0.2× 17 0.5× 14 343
Autumn J. Bullard United States 10 296 1.1× 142 0.7× 246 1.5× 9 0.2× 12 0.4× 10 355
Alex K. Vaskov United States 8 302 1.1× 224 1.0× 228 1.4× 15 0.3× 9 0.3× 17 392
Smrithi Sunil United States 11 247 0.9× 97 0.5× 132 0.8× 41 0.9× 99 3.1× 16 403
Karen E. Schroeder United States 9 219 0.8× 87 0.4× 191 1.2× 19 0.4× 14 0.4× 10 291
Fred W. Montague United States 10 194 0.7× 197 0.9× 138 0.8× 21 0.5× 13 0.4× 13 320

Countries citing papers authored by E.V. Goodall

Since Specialization
Citations

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

Fields of papers citing papers by E.V. Goodall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E.V. Goodall. 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 E.V. Goodall. The network helps show where E.V. Goodall may publish in the future.

Co-authorship network of co-authors of E.V. Goodall

This figure shows the co-authorship network connecting the top 25 collaborators of E.V. Goodall. A scholar is included among the top collaborators of E.V. Goodall 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 E.V. Goodall. E.V. Goodall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Goodall, E.V., et al.. (2005). Simulation of activation and propagation delay during tripolar neural stimulation. University of Twente Research Information. 1203–1204.
2.
Goodall, E.V.. (2004). Building Healthy Communities. PubMed. 86(3). 101–126. 3 indexed citations
3.
Goodall, E.V., et al.. (2003). Stability of chronic intrafascicular electrode recordings. 932–933.
4.
Goodall, E.V. & K.W. Horch. (2003). Unit analysis in composite neural recordings. 31. 930–931. 1 indexed citations
5.
Goodall, E.V., et al.. (1996). Position-selective activation of peripheral nerve fibers with a cuff electrode. IEEE Transactions on Biomedical Engineering. 43(8). 851–856. 35 indexed citations
6.
Goodall, E.V., et al.. (1995). Modeling study of activation and propagation delays during stimulation of peripheral nerve fibers with a tripolar cuff electrode. IEEE Transactions on Rehabilitation Engineering. 3(3). 272–282. 31 indexed citations
7.
Goodall, E.V., et al.. (1993). Analysis of single-unit firing patterns in multi-unit intrafascicular recordings. Medical & Biological Engineering & Computing. 31(3). 257–267. 20 indexed citations
8.
Goodall, E.V. & K.W. Horch. (1992). Separation of action potentials in multiunit intrafascicular recordings. IEEE Transactions on Biomedical Engineering. 39(3). 289–295. 43 indexed citations
9.
Goodall, E.V., et al.. (1991). Chronically implanted intrafascicular recording electrodes. Annals of Biomedical Engineering. 19(2). 197–207. 129 indexed citations
10.
Goodall, E.V., et al.. (1991). Information contained in sensory nerve recordings made with intrafascicular electrodes. IEEE Transactions on Biomedical Engineering. 38(9). 846–850. 54 indexed citations
11.
Goodall, E.V. & K.W. Horch. (1988). Identification of single units in multi-unit recordings from peripheral nerves. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 31. 1166–1167 vol.3. 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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