Arthur M. Keller

1.8k citations
50 papers · 1.0k indexed · h-index 17
Topics
Advanced Database Systems and Queries (28 papers)Distributed systems and fault tolerance (15 papers)Data Management and Algorithms (12 papers)

In The Last Decade

Arthur M. Keller

47 papers receiving 827 citations

Peers

Arthur M. Keller
Comparison fields: 5 of 51
  • Computer Networks and Communications 773
  • Artificial Intelligence 573
  • Information Systems 338
  • Signal Processing 338
  • Management Science and Operations Research 95
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Countries citing papers authored by Arthur M. Keller

Since Specialization
Citations

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

Fields of papers citing papers by Arthur M. Keller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arthur M. Keller. 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 Arthur M. Keller. The network helps show where Arthur M. Keller may publish in the future.

Co-authorship network of co-authors of Arthur M. Keller

This figure shows the co-authorship network connecting the top 25 collaborators of Arthur M. Keller. A scholar is included among the top collaborators of Arthur M. Keller based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Arthur M. Keller. Arthur M. Keller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1
Understanding How Spammers Steal Your E-Mail Address: An Analysis of the First Six Months of Data from Project Honey Pot.
37
2
No-Email-Collection Flag.
2
3 3
4 3
5 5
6 6
7
Degrees of Transaction Isolation in SQL*Cache: A Predicate-based Client-side Caching System
1
8 16
9
Smart catalogs and virtual catalogs
30
10
Versions, Configurations, and Constraints in CEDB
2
11
Framework for the Security Component of an Ada DBMS
2
12
Choosing a View Update Translator by Dialog at View Definition Time
45
13
Unifying database and programming language concepts using the object model
2
14
Updating Relational Databases Through Views
21
15 11
16 59
17 91
18
First Course in Computer Programming with Pascal
0
19
A first course in computer programming using PASCAL
5
20 7

About Arthur M. Keller

Arthur M. Keller is a scholar working on Computer Networks and Communications, Signal Processing and Artificial Intelligence, having authored 50 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (28 papers), Distributed systems and fault tolerance (15 papers) and Data Management and Algorithms (12 papers). The work is most often cited by research in Computer Networks and Communications (773 citations), Signal Processing (338 citations) and Artificial Intelligence (573 citations). Arthur M. Keller has collaborated with scholars based in United States, France and Netherlands. Frequent co-authors include Michael Genesereth, Oliver M. Duschka, Gio Wiederhold, Shailesh R. Agarwal, Samarth Agarwal, Krishna C. Saraswat, Jeffrey D. Ullman, L. Holloway, Stefano Ceri and Yoshinori Hara. Their work appears in journals such as Brain Research, RSC Advances and IEEE Transactions on Software Engineering.

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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