John E. Mellor

1.1k citations
34 papers · 663 · 1 hit paper · h-index 9

Impact in

Papers in

John E. Mellor

30 papers receiving 627 citations

John E. Mellor's Hit Papers

Taxonomy of Risks posed by Language Models 2022 · 408 citations
4080+1+2Years since publication100200300400

Peers

John E. Mellor
Comparison fields: 5 of 86
  • Health Informatics 60
  • Safety Research 138
  • Artificial Intelligence 256
  • General Social Sciences 19
  • Computer Networks and Communications 123
Replace Ilia Shumailov with:
Ilia Shumailov United Kingdom
Jonathan Uesato United Kingdom
Joon Sung Park United States
Bartłomiej Koptyra Poland
Kartik Talamadupula United States
Laria Reynolds United States
Kyle McDonell United States
Stephan Raaijmakers Netherlands
Mladjan Jovanovic Serbia
Dan Iter United States
John E. Mellor relative to Ilia Shumailov United Kingdom Ilia Shumailov's profile →
Citations per field
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Citations per year

Countries citing papers authored by John E. Mellor

Since Specialization
Citations

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

Fields of papers citing papers by John E. Mellor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Taxonomy of Risks posed by Language Models
Hit paper breakdown →
2022408
2 202170
3 202426
4 200425
5 200716
6 200913
7 200912
8 20089
9 20119
10 20047
11 20077
12 20117
13 20086
14 20096
15 20146
16 20104
17 20104
18 20084
19 20094
20 20003

About John E. Mellor

John E. Mellor is a scholar working on Computer Networks and Communications, Hardware and Architecture, Artificial Intelligence, Electrical and Electronic Engineering and Computer Science Applications, having authored 34 papers that have together received 663 indexed citations. Recurring topics across this work include Network Packet Processing and Optimization (9 papers), IPv6, Mobility, Handover, Networks, Security (9 papers), Network Security and Intrusion Detection (8 papers), Internet Traffic Analysis and Secure E-voting (7 papers), Network Traffic and Congestion Control (5 papers), Wireless Networks and Protocols (4 papers), Mobile Agent-Based Network Management (4 papers) and Hate Speech and Cyberbullying Detection (3 papers). The work is most often cited by research in Health Informatics (60 citations), Safety Research (138 citations), Artificial Intelligence (256 citations), General Social Sciences (19 citations) and Computer Networks and Communications (123 citations). John E. Mellor has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Irfan Ullah Awan, Jean-Baptiste Alayrac, Lisa Anne Hendricks, Aida Nematzadeh, Rosália G. Schneider, Faeiz Alserhani, Andrea J. Cullen, Khalid Al‐Begain, Rana Tassabehji and Geyong Min. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Academic Medicine, Computer Networks, Mobile Networks and Applications and Scientific Reports.

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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