David Beech

1.5k citations
39 papers · 1.1k · h-index 14

Impact in

Papers in

David Beech

34 papers receiving 885 citations

Peers

David Beech
Comparison fields: 5 of 147
  • Signal Processing 395
  • Computer Networks and Communications 657
  • Artificial Intelligence 465
  • Statistics and Probability 76
  • Information Systems 162
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John Stutz United States
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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 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
IRIS: an object-oriented database management system
1989315
2 1990146
3 1962125
4 198864
5
Overview of the IRIS DBMS
199063
6 196059
7 196136
8 195934
9 200322
10 196218
11 196118
12
"The Committee for Advanced DBMS Function": Third Generation Data Base System Manifesto.
199017
13 197017
14
Groundwork for an object database model
198716
15 195614
16
Collections of Objects in SQL3
199313
17 196211
18
The Integrated Data Model: A Database Perspective
198310
19 19889
20 19618

About David Beech

David Beech is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Information Systems and Medical Laboratory Technology, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (16 papers), Semantic Web and Ontologies (7 papers), Data Management and Algorithms (7 papers), Service-Oriented Architecture and Web Services (3 papers), Distributed and Parallel Computing Systems (2 papers), Surface and Thin Film Phenomena (1 paper), Distributed systems and fault tolerance (1 paper) and Advanced Computational Techniques and Applications (1 paper). The work is most often cited by research in Signal Processing (395 citations), Computer Networks and Communications (657 citations), Artificial Intelligence (465 citations), Statistics and Probability (76 citations) and Information Systems (162 citations). David Beech has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Maurice G. Kendall, Alan Stuart, Charles G. Hoch, Daniel Fishman, William Kent, Peter Lyngbæk, M.-C. Shan, James W. Davis, Nigel Derrett and M.-A. Neimat. Their work appears in journals such as Journal of the Royal Statistical Society Series C (Applied Statistics), ACM SIGPLAN Notices, ACM SIGMOD Record, Software Practice and Experience and American Journal of Physiology-Heart and Circulatory Physiology.

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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