Allison Hess‐Dunning

569 citations
29 papers · 428 indexed · h-index 9
Topics
Neuroscience and Neural Engineering (26 papers)Advanced Sensor and Energy Harvesting Materials (10 papers)Conducting polymers and applications (8 papers)
Journals
SHILAP Revista de lepidopterologíaJournal of BiomechanicsJournal of Applied Polymer Science
Partner nations
United StatesSwitzerland

In The Last Decade

Allison Hess‐Dunning

27 papers receiving 423 citations

Peers

Allison Hess‐Dunning
Comparison fields: 5 of 52
  • Cellular and Molecular Neuroscience 305
  • Biomedical Engineering 177
  • Electrical and Electronic Engineering 132
  • Cognitive Neuroscience 128
  • Polymers and Plastics 79
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Citations per field
00.5×1.5×
Christi L. Kolarcik · 1×
Citations per year

Countries citing papers authored by Allison Hess‐Dunning

Since Specialization
Citations

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

Fields of papers citing papers by Allison Hess‐Dunning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Allison Hess‐Dunning. 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 Allison Hess‐Dunning. The network helps show where Allison Hess‐Dunning may publish in the future.

Co-authorship network of co-authors of Allison Hess‐Dunning

This figure shows the co-authorship network connecting the top 25 collaborators of Allison Hess‐Dunning. A scholar is included among the top collaborators of Allison Hess‐Dunning 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 Allison Hess‐Dunning. Allison Hess‐Dunning 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 1
2 0
3 2
4 3
5 4
6 2
7 2
8 11
9 9
10 4
11 3
12 34
13 210
14 8
15 9
16 1
17
Integration of Process-Incompatible Materials for Microfabricated Polymer-Based Neural Interfaces
0
18 2
19 25
20 3

About Allison Hess‐Dunning

Allison Hess‐Dunning is a scholar working on Cellular and Molecular Neuroscience, Polymers and Plastics and Neurology, having authored 29 papers that have together received 428 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (26 papers), Advanced Sensor and Energy Harvesting Materials (10 papers) and Conducting polymers and applications (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (305 citations), Cognitive Neuroscience (128 citations) and Polymers and Plastics (79 citations). Allison Hess‐Dunning has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Dustin J. Tyler, Jeffrey R. Capadona, Christoph Weder, Stuart J. Rowan, John L. Skousen, Daniel J. Park, Christian A. Zorman, R. Mohan Sankaran, Yongkun Sui and Heidi B. Martin. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Biomechanics and Journal of Applied Polymer Science.

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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