Taylor Arnold

841 citations
32 papers · 366 · h-index 8

Impact in

Papers in

Taylor Arnold

28 papers receiving 342 citations

Peers

Taylor Arnold
Comparison fields: 5 of 138
  • Space and Planetary Science 7
  • Ophthalmology 50
  • Conservation 12
  • Statistics and Probability 28
  • Computational Mathematics 2
Replace Stanislav Popelka with:
Stanislav Popelka Czechia
Nicola L. Ritter United States
JoAnn Buscaglia United States
Kathy Clawson United Kingdom
Cédric Neumann United States
Benson S. Y. Lam Hong Kong
Congcong Wang China
Paweł Powroźnik Poland
Marílton Sanchotene de Aguiar Brazil
Tanja Blascheck Germany
Taylor Arnold relative to Stanislav Popelka Czechia Stanislav Popelka's profile →
Citations per field
00.5×
Stanislav Popelka · 1×
Citations per year

Countries citing papers authored by Taylor Arnold

Since Specialization
Citations

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

Fields of papers citing papers by Taylor Arnold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Taylor Arnold, 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 Taylor Arnold Line = papers co-authored together Taylor Arnold 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 201774
2 201553
3 201253
4 201946
5 201932
6 201013
7 201512
8 202010
9 20197
10 20197
11 20197
12 20236
13 20175
14 20115
15 20224
16 20174
17 20214
18 20194
19 20203
20
Enriching Historic Photography with Structured Data using Image Region Segmentation
20203

About Taylor Arnold

Taylor Arnold is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, General Social Sciences, Literature and Literary Theory and Sociology and Political Science, having authored 32 papers that have together received 366 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (6 papers), Video Analysis and Summarization (6 papers), Computational and Text Analysis Methods (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), Natural Language Processing Techniques (3 papers), Data Analysis with R (3 papers), Phonetics and Phonology Research (2 papers) and Advanced Text Analysis Techniques (2 papers). The work is most often cited by research in Space and Planetary Science (7 citations), Ophthalmology (50 citations), Conservation (12 citations), Statistics and Probability (28 citations) and Computational Mathematics (2 citations). Taylor Arnold has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Ryan J. Tibshirani, Edwin Burns, Cindy M. Bukach, Nazlee Zebardast, Tomás M. Grippo, Robert N. Weinreb, John H.K. Liu, Bruce Russett, Nicolas Ballier and John W. Emerson. Their work appears in journals such as Digital Scholarship in the Humanities, Neuroscience & Biobehavioral Reviews, Language Resources and Evaluation, Journal of Computational and Graphical Statistics and Language Teaching Research.

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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