Paul L. Bowen

28 papers receiving 428 citations

Peers

Paul L. Bowen
Comparison fields: 5 of 59
  • Management Information Systems 302
  • Information Systems 137
  • Management Science and Operations Research 109
  • Information Systems and Management 67
  • Computer Networks and Communications 64
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Countries citing papers authored by Paul L. Bowen

Since Specialization
Citations

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

Fields of papers citing papers by Paul L. Bowen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul L. Bowen. 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 Paul L. Bowen. The network helps show where Paul L. Bowen may publish in the future.

Co-authorship network of co-authors of Paul L. Bowen

This figure shows the co-authorship network connecting the top 25 collaborators of Paul L. Bowen. A scholar is included among the top collaborators of Paul L. Bowen 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 Paul L. Bowen. Paul L. Bowen 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
Proceedings of the 14th International Conference on Information Quality
10
2 4
3 211
4 3
5 44
6 1
7 0
8
How Does Your Model Grow? An Empirical Investigation of the Effects of Ontological Clarity and Application Domain Size on Query Performance
6
9
Analysis of Competing Data Structures: Does Ontological Clarity Produce Better End-User Query Performance?
5
10 5
11 3
12
Non-length based query challenges: An initial taxonomy
1
13
THE EFFECT OF BASE RATE SENSITIZATION ON END-USER QUERY PERFORMANCE MODERATED BY CONSCIENTIOUSNESS
1
14
End user query performance: The interaction of user characteristics and information request ambiguity
1
15 2
16
A Model for and the Effects of Information Request Ambiguity on End-user Query Performance
11
17 0
18
Continuously improving data quality in persistent databases
5
19
User-Customized Financial Reporting: The Potential of Database Accounting and the Internet
6
20 13

About Paul L. Bowen

Paul L. Bowen is a scholar working on Management Information Systems, Management Science and Operations Research and Software, having authored 30 papers that have together received 479 indexed citations. Recurring topics across this work include Big Data and Business Intelligence (14 papers), Advanced Database Systems and Queries (14 papers) and Data Quality and Management (13 papers). The work is most often cited by research in Management Information Systems (302 citations), Information Systems and Management (67 citations) and Management Science and Operations Research (109 citations). Paul L. Bowen has collaborated with scholars based in Australia, United States and Latvia. Frequent co-authors include Fiona Rohde, A. Faye Borthick, Donald R. Jones, Gregory J. Gerard, Colin Ferguson, Gary P. Schneider, Hubert Österle, Neal M. Ashkanasy, Ahmed K. Elmagarmid and Kai-Uwe Sattler. Their work appears in journals such as Information Systems Research, Decision Support Systems and Journal of the Association for Information Systems.

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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