John Page

1.1k citations
76 papers · 908 · h-index 17

Impact in

Papers in

John Page

67 papers receiving 781 citations

Peers

John Page
Comparison fields: 5 of 120
  • Electrochemistry 209
  • Bioengineering 107
  • Inorganic Chemistry 114
  • Filtration and Separation 16
  • Civil and Structural Engineering 147
Replace Xiaoming Xiao with:
Xiaoming Xiao China
Dan Wu China
Taner Arslan Türkiye
Divya Pratap Singh India
Saeed Ahmad Pakistan
Tomohisa Yamashita Japan
Krishna Deb India
Sohrab Ali Ghorbanian Iran
Rajat Saha India
Emre Yavuz Türkiye
John Page relative to Xiaoming Xiao China Xiaoming Xiao's profile →
Citations per field
00.5×2×4×6×8.2×
Xiaoming Xiao · 1×
Citations per year

Countries citing papers authored by John Page

Since Specialization
Citations

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

Fields of papers citing papers by John Page

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1952140
2 1986130
3 197031
4 201830
5 198429
6 199127
7 195726
8
A buddy model of security for mobile agent communities operating in pervasive scenarios
200425
9 196924
10 198522
11 201921
12
Countering security vulnerabilities using a shared security Buddy model schema in mobile agent communities
200420
13 196217
14 198117
15 196616
16 199616
17 199116
18 196815
19 198415
20 196214

About John Page

John Page is a scholar working on Electrochemistry, Computer Networks and Communications, Electrical and Electronic Engineering, Bioengineering and Artificial Intelligence, having authored 76 papers that have together received 908 indexed citations. Recurring topics across this work include Electrochemical Analysis and Applications (27 papers), Analytical Chemistry and Sensors (12 papers), Network Security and Intrusion Detection (8 papers), Mobile Agent-Based Network Management (8 papers), Analytical chemistry methods development (6 papers), Distributed Control Multi-Agent Systems (5 papers), Smart Grid Energy Management (5 papers) and Modular Robots and Swarm Intelligence (5 papers). The work is most often cited by research in Electrochemistry (209 citations), Bioengineering (107 citations), Inorganic Chemistry (114 citations), Filtration and Separation (16 citations) and Civil and Structural Engineering (147 citations). John Page has collaborated with scholars based in Australia, Canada and United States. Frequent co-authors include Geoffrey Wilkinson, Brian B. Hope, Gary W. vanLoon, Arkady Zaslavsky, Maria Indrawan, Michael C. Baird, Michael Bain, James J. Lingane, J. Gulens and Dragic Vukomanovic. Their work appears in journals such as Canadian Journal of Chemistry, Analytical Chemistry, Organometallics, Talanta and International Journal of Lean Six Sigma.

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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