Simon Lavington

687 citations
64 papers · 441 · h-index 9

Impact in

Papers in

Simon Lavington

57 papers receiving 360 citations

Peers

Simon Lavington
Comparison fields: 5 of 75
  • Computer Science Applications 62
  • Signal Processing 79
  • Hardware and Architecture 49
  • History and Philosophy of Science 31
  • Artificial Intelligence 215
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Citations per field
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Citations per year

Countries citing papers authored by Simon Lavington

Since Specialization
Citations

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

Fields of papers citing papers by Simon Lavington

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Simon Lavington, 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 Simon Lavington Line = papers co-authored together Simon Lavington links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000137
2 197836
3 198133
4
Early British Computers: The Story of Vintage Computers and the People Who Built Them
198017
5 199615
6 198815
7 199912
8 198710
9 201910
10
Using SQL primitives and parallel DB servers to speed up knowledge discovery in large relational databases
19969
11 19898
12 20018
13 19848
14 19908
15 20117
16
Emerging Trends in Database and Knowledge-Base Machines: The Application of Parallel Architectures to Smart Information Systems
19957
17 19907
18
Alan Turing and his Contemporaries: Building the world's first computers
20126
19 20066
20 19936

About Simon Lavington

Simon Lavington is a scholar working on Computer Science Applications, Computer Networks and Communications, Signal Processing, Hardware and Architecture and Artificial Intelligence, having authored 64 papers that have together received 441 indexed citations. Recurring topics across this work include History of Computing Technologies (20 papers), Advanced Database Systems and Queries (15 papers), Distributed and Parallel Computing Systems (7 papers), Data Mining Algorithms and Applications (7 papers), Data Management and Algorithms (6 papers), Parallel Computing and Optimization Techniques (6 papers), Advanced Data Storage Technologies (4 papers) and Intelligence, Security, War Strategy (4 papers). The work is most often cited by research in Computer Science Applications (62 citations), Signal Processing (79 citations), Hardware and Architecture (49 citations), History and Philosophy of Science (31 citations) and Artificial Intelligence (215 citations). Simon Lavington has collaborated with scholars based in United Kingdom, United States and New Zealand. Frequent co-authors include Alex Alves Freitas, Nancy Stern, Thomas More Smith, Jerome Robinson, Mahdi Abdelguerfi, Edwin G. Wilkins, Mohammad Ghanbari, Christopher David Burton, Martin Campbell‐Kelly and D. Brent Edwards. Their work appears in journals such as The Computer Journal, Knowledge-Based Systems, Nature, The Journal of the Acoustical Society of America and Communications of the ACM.

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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