Kathy Clawson

430 citations
20 papers · 287 · h-index 9

Impact in

Papers in

Kathy Clawson

20 papers receiving 274 citations

Peers

Kathy Clawson
Comparison fields: 5 of 83
  • Computer Vision and Pattern Recognition 108
  • Computer Science Applications 24
  • Health Informatics 6
  • Human-Computer Interaction 17
  • Radiology, Nuclear Medicine and Imaging 69
Replace José María Rodríguez Corral with:
José María Rodríguez Corral Spain
Ibrahim Abdulrab Ahmed Saudi Arabia
Gür Emre Güraksın Türkiye
Saturnino Vicente-Díaz Spain
Mo Zhang United States
Nudrat Nida Pakistan
Caslon Chua Australia
Vasileios G. Kanas Greece
Unaizah Obaidellah Malaysia
Agung W. Setiawan Indonesia
Kathy Clawson relative to José María Rodríguez Corral Spain José María Rodríguez Corral's profile →
Citations per field
00.5×1.5×2.4×
José María Rodríguez Corral · 1×
Citations per year

Countries citing papers authored by Kathy Clawson

Since Specialization
Citations

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

Fields of papers citing papers by Kathy Clawson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kathy Clawson, 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 Kathy Clawson Line = papers co-authored together Kathy Clawson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2022100
2 202025
3 201924
4 200720
5 202120
6 201718
7 200916
8 202010
9 201310
10 20208
11 20187
12 20076
13 20134
14 20144
15 20174
16 20203
17 20133
18
SAVASA Project @ TRECVID 2012: Interactive Surveillance Event Detection
20122
19 20212
20
Evaluation of Skin Lesion Asymmetry using Fourier Descriptors
20061

About Kathy Clawson

Kathy Clawson is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Oncology, Radiology, Nuclear Medicine and Imaging and Computer Science Applications, having authored 20 papers that have together received 287 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (4 papers), Video Analysis and Summarization (4 papers), Cutaneous Melanoma Detection and Management (3 papers), Video Surveillance and Tracking Methods (3 papers), AI in cancer detection (2 papers), Anomaly Detection Techniques and Applications (2 papers), Pharmacovigilance and Adverse Drug Reactions (1 paper) and Design Education and Practice (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (108 citations), Computer Science Applications (24 citations), Health Informatics (6 citations), Human-Computer Interaction (17 citations) and Radiology, Nuclear Medicine and Imaging (69 citations). Kathy Clawson has collaborated with scholars based in United Kingdom, China and Ireland. Frequent co-authors include Han Li, Peishu Wu, Nianyin Zeng, Bryan Scotney, Yonghong Peng, Chenxi Huang, Philip Morrow, Lynne Hall, Declan J. McKenna and O.M. Dolan. Their work appears in journals such as Neural Computing and Applications, IEEE Access, Expert Systems with Applications, Neurocomputing and SHILAP Revista de lepidopterología.

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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