Stephen Scott

3.4k citations
86 papers · 2.7k · 1 hit paper · h-index 27

Impact in

Papers in

    • Machine Learning and Algorithms 20
    • Machine Learning and Data Classification 12
    • Algorithms and Data Compression 10
    • Imbalanced Data Classification Techniques 5
    • Advanced Image and Video Retrieval Techniques 9
    • Image Retrieval and Classification Techniques 9

Stephen Scott

81 papers receiving 2.6k citations

Stephen Scott's Hit Papers

Vascular Smooth Muscle Cells Undergo Telomere-Based Senescence in Human Atherosclerosis 2006 · 520 citations
5200+6+13Years since publication100200300400500

Peers

Stephen Scott
Comparison fields: 5 of 156
  • Aging 84
  • Clinical Biochemistry 239
  • Physiology 419
  • Artificial Intelligence 609
  • Endocrinology, Diabetes and Metabolism 255
Replace Darren Boehning with:
Darren Boehning United States
Qiong Cao China
Brian Rodrigues Canada
Yong Yao China
Tomohiro Yoshikawa Japan
Jinping Liu China
Huizhen Wang China
Yan Cai China
Pengyi Yang Australia
Murali Ramanathan United States
Stephen Scott relative to Darren Boehning United States Darren Boehning's profile →
Citations per field
00.5×3.8×
Darren Boehning · 1×
Citations per year

Countries citing papers authored by Stephen Scott

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Scott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Vascular Smooth Muscle Cells Undergo Telomere-Based Senescence in Human Atherosclerosis
Hit paper breakdown →
2006520
2 2020153
3 1995128
4 200099
5 200194
6 199989
7 200388
8 200688
9 199676
10 200467
11 199665
12 202164
13 199560
14 200056
15 199452
16 199950
17 199749
18 200548
19 200147
20 200942

About Stephen Scott

Stephen Scott is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 86 papers that have together received 2.7k indexed citations. Recurring topics across this work include Machine Learning and Algorithms (20 papers), Machine Learning and Data Classification (12 papers), Algorithms and Data Compression (10 papers), Advanced Image and Video Retrieval Techniques (9 papers), Image Retrieval and Classification Techniques (9 papers), Imbalanced Data Classification Techniques (5 papers), Advanced Optical Network Technologies (4 papers) and Advanced Glycation End Products research (4 papers). The work is most often cited by research in Aging (84 citations), Clinical Biochemistry (239 citations), Physiology (419 citations), Artificial Intelligence (609 citations) and Endocrinology, Diabetes and Metabolism (255 citations). Stephen Scott has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Jerry L. Nadler, Martin R. Bennett, Ashok Samal, Charles H. Matthews, Isabelle Gorenne, Martin Goddard, Andrew I. Ritchie, Sally A. Goldman, Kun Deng and Noe Gonzales. Their work appears in journals such as Machine Learning, Circulation Research, Endocrinology, Biochemical and Biophysical Research Communications and Journal of Computer and System Sciences.

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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