Stephen Scott

3.3k citations
82 papers · 2.5k · h-index 27

Impact in

Papers in

    • Machine Learning and Algorithms 18
    • Machine Learning and Data Classification 12
    • Algorithms and Data Compression 10
    • Imbalanced Data Classification Techniques 5
    • Image Retrieval and Classification Techniques 8
    • Advanced Image and Video Retrieval Techniques 8

Stephen Scott

79 papers receiving 2.4k citations

Peers

Stephen Scott
Comparison fields: 5 of 160
  • Aging 84
  • Clinical Biochemistry 241
  • Endocrinology, Diabetes and Metabolism 273
  • Artificial Intelligence 514
  • Physiology 417
Replace Darren Boehning with:
Darren Boehning United States
Qiong Cao China
Tomohiro Yoshikawa Japan
Huizhen Wang China
Yong Yao China
Yan Cai China
Jinping Liu China
Lili Cao China
Xun Shen China
Weiqing Tang China
Stephen Scott relative to Darren Boehning United States Darren Boehning's profile →
Citations per field
00.5×3.7×
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 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006486
2 2020146
3 1995110
4 200098
5 200193
6 199984
7 200381
8 200677
9 199673
10 199659
11 202159
12 200454
13 200053
14 199549
15 199746
16 199944
17 199444
18 200941
19 200541
20 200838

About Stephen Scott

Stephen Scott is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Endocrinology, Diabetes and Metabolism and Electrical and Electronic Engineering, having authored 82 papers that have together received 2.5k indexed citations. Recurring topics across this work include Machine Learning and Algorithms (18 papers), Machine Learning and Data Classification (12 papers), Algorithms and Data Compression (10 papers), Image Retrieval and Classification Techniques (8 papers), Advanced Image and Video Retrieval Techniques (8 papers), Imbalanced Data Classification Techniques (5 papers), Advanced Optical Network Technologies (4 papers) and Optical Network Technologies (4 papers). The work is most often cited by research in Aging (84 citations), Clinical Biochemistry (241 citations), Endocrinology, Diabetes and Metabolism (273 citations), Artificial Intelligence (514 citations) and Physiology (417 citations). Stephen Scott has collaborated with scholars based in United States, United Kingdom and Saudi Arabia. Frequent co-authors include Martin R. Bennett, Jerry L. Nadler, Isabelle Gorenne, Charles H. Matthews, Andrew I. Ritchie, Martin Goddard, Ashok Samal, Noe Gonzales, Kun Deng and Sally A. Goldman. Their work appears in journals such as Machine Learning, Circulation Research, Endocrinology, Journal of Computer and System Sciences and Biochemical and Biophysical Research Communications.

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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