David Beech

1.5k citations
37 papers · 803 indexed · h-index 13

Impact in

Papers in

David Beech

34 papers receiving 665 citations

Peers

David Beech
Comparison fields: 5 of 143
  • Signal Processing 254
  • Computer Networks and Communications 452
  • Artificial Intelligence 322
  • Statistics and Probability 71
  • Information Systems 119
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Citations per field
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Citations per year

Countries citing papers authored by David Beech

Since Specialization
Citations

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

Fields of papers citing papers by David Beech

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1
IRIS: an object-oriented database management system
1989244
2 1962119
3 1990101
4 196052
5
Overview of the IRIS DBMS
199048
6 196132
7 195932
8 200317
9 196216
10 197015
11
Groundwork for an object database model
198714
12 196114
13
Collections of Objects in SQL3
199312
14 196211
15 195610
16
"The Committee for Advanced DBMS Function": Third Generation Data Base System Manifesto.
19908
17 19618
18 19887
19
The Integrated Data Model: A Database Perspective
19836
20
Third-Generation Database System Manifesto - The Committee for Advanced DBMS Function.
19906

About David Beech

David Beech is a scholar working on Computer Networks and Communications, Medical Laboratory Technology, Signal Processing, Artificial Intelligence and Information Systems, having authored 37 papers that have together received 803 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (15 papers), Data Management and Algorithms (6 papers), Semantic Web and Ontologies (5 papers), Service-Oriented Architecture and Web Services (3 papers), Logic, programming, and type systems (2 papers), Distributed systems and fault tolerance (2 papers), Distributed and Parallel Computing Systems (2 papers) and Advanced Software Engineering Methodologies (2 papers). The work is most often cited by research in Signal Processing (254 citations), Computer Networks and Communications (452 citations), Artificial Intelligence (322 citations), Statistics and Probability (71 citations) and Information Systems (119 citations). David Beech has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include M. G. Kendall, Alan Stuart, Daniel Fishman, Charles G. Hoch, James W. Davis, M.-C. Shan, William Kent, Peter Lyngbæk, Forman S. Acton and Nigel Derrett. Their work appears in journals such as Journal of the Royal Statistical Society Series C (Applied Statistics), ACM SIGPLAN Notices, Computer Standards & Interfaces, Software Practice and Experience and ACM SIGMOD Record.

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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