Zackory Erickson

710 citations
32 papers · 338 · h-index 11

Impact in

Papers in

Zackory Erickson

26 papers receiving 331 citations

Peers

Zackory Erickson
Comparison fields: 5 of 54
  • Human-Computer Interaction 49
  • Control and Systems Engineering 168
  • Computer Vision and Pattern Recognition 66
  • Artificial Intelligence 88
  • Occupational Therapy 9
Replace Ariel Kapusta with:
Ariel Kapusta United States
David Gossow Germany
Georgia Chalvatzaki Germany
Kuu‐Young Young Taiwan
Benjamin Navarro France
Shervin Javdani United States
Marvin K. Bugeja Malta
Eimei Oyama Japan
Jani Even Japan
Maurizio Ficocelli Canada
Zackory Erickson relative to Ariel Kapusta United States Ariel Kapusta's profile →
Citations per field
00.5×3.3×
Ariel Kapusta · 1×
Citations per year

Countries citing papers authored by Zackory Erickson

Since Specialization
Citations

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

Fields of papers citing papers by Zackory Erickson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Zackory Erickson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Zackory Erickson Line = papers co-authored together Zackory Erickson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201658
2 201945
3 201839
4 201736
5 201725
6 202217
7 202216
8 202314
9 201713
10 202213
11 202311
12 20238
13 20247
14 20235
15 20225
16 20244
17 20243
18 20253
19 20233
20 20252

About Zackory Erickson

Zackory Erickson is a scholar working on Control and Systems Engineering, Biomedical Engineering, Human-Computer Interaction, Cognitive Neuroscience and Artificial Intelligence, having authored 32 papers that have together received 338 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (10 papers), Tactile and Sensory Interactions (5 papers), Muscle activation and electromyography studies (4 papers), Context-Aware Activity Recognition Systems (3 papers), Advanced Sensor and Energy Harvesting Materials (3 papers), Hand Gesture Recognition Systems (3 papers), Gaze Tracking and Assistive Technology (3 papers) and Human Motion and Animation (2 papers). The work is most often cited by research in Human-Computer Interaction (49 citations), Control and Systems Engineering (168 citations), Computer Vision and Pattern Recognition (66 citations), Artificial Intelligence (88 citations) and Occupational Therapy (9 citations). Zackory Erickson has collaborated with scholars based in United States, Sweden and Denmark. Frequent co-authors include Charles C. Kemp, Ariel Kapusta, Daehyung Park, Greg Turk, C. Karen Liu, Tapomayukh Bhattacharjee, Wenhao Yu, David Held, Hokeun Kim and Alexander Clegg. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Transactions on Robotics, Autonomous Robots, Advanced Healthcare Materials and Neuropsychopharmacology.

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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