Emily Wall

24 papers receiving 362 citations

Peers

Emily Wall
Comparison fields: 5 of 75
  • Computer Vision and Pattern Recognition 258
  • General Decision Sciences 15
  • Human-Computer Interaction 23
  • Artificial Intelligence 134
  • Signal Processing 42
Replace Evanthia Dimara with:
Evanthia Dimara France
Fumeng Yang United States
Hannah Kim United States
James Schaffer United States
H. Lam Canada
Michael Wolverton United States
Tim Donkers Germany
Resa A. Roth United States
Xinhuan Shu China
Benedikt Loepp Germany
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Citations per field
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Citations per year

Countries citing papers authored by Emily Wall

Since Specialization
Citations

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

Fields of papers citing papers by Emily Wall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Emily Wall, 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 Emily Wall Line = papers co-authored together Emily Wall 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 201784
2 201764
3 201856
4 201647
5 201929
6 202123
7 201911
8 20229
9 20207
10 20226
11 20235
12 20245
13 20204
14 20213
15 20233
16 20203
17 20252
18 20232
19 20192
20 20252

About Emily Wall

Emily Wall is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Experimental and Cognitive Psychology, Automotive Engineering and Management Science and Operations Research, having authored 32 papers that have together received 371 indexed citations. Recurring topics across this work include Data Visualization and Analytics (12 papers), Advanced Text Analysis Techniques (5 papers), Mental Health Research Topics (3 papers), Video Analysis and Summarization (3 papers), Explainable Artificial Intelligence (XAI) (2 papers), Systems Engineering Methodologies and Applications (2 papers), Human-Automation Interaction and Safety (2 papers) and Additive Manufacturing Materials and Processes (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (258 citations), General Decision Sciences (15 citations), Human-Computer Interaction (23 citations), Artificial Intelligence (134 citations) and Signal Processing (42 citations). Emily Wall has collaborated with scholars based in United States, Germany and Hong Kong. Frequent co-authors include Alex Endert, Leslie M. Blaha, Lyndsey Franklin, John Stasko, Eli T. Brown, Haesun Park, Michael Joseph Haass, Alireza Karduni, Hannah Kim and Laura E. Matzen. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, IEEE Computer Graphics and Applications, Journal of Manufacturing Processes and International Journal of Systems Science Operations & Logistics.

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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