Steve Cayzer

2.2k citations
53 papers · 1.6k · h-index 18

Impact in

Papers in

Steve Cayzer

51 papers receiving 1.5k citations

Peers

Steve Cayzer
Comparison fields: 5 of 105
  • Biomedical Engineering 760
  • Strategy and Management 220
  • Computer Networks and Communications 322
  • Information Systems 315
  • Artificial Intelligence 447
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Andrew Whitmore United States
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Citations per field
00.5×10.6×
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Citations per year

Countries citing papers authored by Steve Cayzer

Since Specialization
Citations

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

Fields of papers citing papers by Steve Cayzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003251
2 2005239
3 2017188
4 2002152
5 2004135
6
Learning User Profiles from Tagging Data and Leveraging them for Personal(ized) Information Access
2007109
7
Personalized Tag Recommendations via Tagging and Content-based Similarity Metrics.
200744
8 201842
9 200840
10 200637
11 200335
12 201632
13 200430
14 200327
15 200526
16 200524
17 200323
18 200718
19
Add-A-Tag: Learning Adaptive User Profiles from Bookmark Collections
200713
20
13th World Wide Web Conference (2004)
200412

About Steve Cayzer

Steve Cayzer is a scholar working on Artificial Intelligence, Information Systems, Biomedical Engineering, Molecular Biology and Immunology, having authored 53 papers that have together received 1.6k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (13 papers), Artificial Immune Systems Applications (13 papers), T-cell and B-cell Immunology (8 papers), Service-Oriented Architecture and Web Services (7 papers), Recommender Systems and Techniques (6 papers), Web Data Mining and Analysis (5 papers), Scientific Computing and Data Management (4 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Biomedical Engineering (760 citations), Strategy and Management (220 citations), Computer Networks and Communications (322 citations), Information Systems (315 citations) and Artificial Intelligence (447 citations). Steve Cayzer has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Uwe Aickelin, Julie Greensmith, Valentina Beghetto, Elke Michlmayr, Jungwon Kim, Peter J. Bentley, Julie McLeod, Paul Shabajee, Dave Reynolds and Andrew Byde. Their work appears in journals such as Journal of Web Semantics, ACM SIGMETRICS Performance Evaluation Review, Internet of Things, Communications of the ACM and International Journal of Sustainable Engineering.

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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