Malcolm P. Atkinson

2.4k citations
58 papers · 1.9k · h-index 20

Impact in

Papers in

Malcolm P. Atkinson

55 papers receiving 1.6k citations

Peers

Malcolm P. Atkinson
Comparison fields: 5 of 103
  • Hardware and Architecture 380
  • Computer Networks and Communications 1.2k
  • Information Systems and Management 215
  • Signal Processing 329
  • Artificial Intelligence 846
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Countries citing papers authored by Malcolm P. Atkinson

Since Specialization
Citations

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

Fields of papers citing papers by Malcolm P. Atkinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Malcolm P. Atkinson. 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 Malcolm P. Atkinson. The network helps show where Malcolm P. Atkinson may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983327
2 1987269
3
Proceedings of the 25th International Conference on Very Large Data Bases
1999205
4 1996155
5 1997116
6
A Database Index to Large Biological Sequences
200174
7 200170
8
The Object-Oriented Database System Manifesto.
198967
9
Design Issues for Persistent Java: A Type-Safe, Object-Oriented, Orthogonally Persistent System.
199658
10 200242
11 197837
12
Constructing Database Systems in a Persistent Environment
198728
13 199028
14 198427
15 198827
16 198622
17 200920
18 200019
19 200019
20 200319

About Malcolm P. Atkinson

Malcolm P. Atkinson is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Hardware and Architecture and Information Systems and Management, having authored 58 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (21 papers), Distributed and Parallel Computing Systems (17 papers), Distributed systems and fault tolerance (16 papers), Logic, programming, and type systems (13 papers), Parallel Computing and Optimization Techniques (9 papers), Scientific Computing and Data Management (8 papers), Data Management and Algorithms (6 papers) and Advanced Data Storage Technologies (6 papers). The work is most often cited by research in Hardware and Architecture (380 citations), Computer Networks and Communications (1.2k citations), Information Systems and Management (215 citations), Signal Processing (329 citations) and Artificial Intelligence (846 citations). Malcolm P. Atkinson has collaborated with scholars based in United Kingdom, United States and Norway. Frequent co-authors include O. Buneman, Ron Morrison, Peter J. Bailey, Paul Cockshott, Mick Jordan, Stanley B. Zdonik, Laurent Daynès, Susan Spence, Patrick Valduriez and Maria E. Orłowska. Their work appears in journals such as Software Practice and Experience, The Computer Journal, Behaviour and Information Technology, Social Forces and The VLDB Journal.

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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