Peter Aiken

520 citations
31 papers · 329 · h-index 10

Impact in

    • Big Data and Business Intelligence
    • Business Process Modeling and Analysis
    • Software Engineering Research
    • Service-Oriented Architecture and Web Services
    • Software Engineering Techniques and Practices

Papers in

Peter Aiken

28 papers receiving 271 citations

Peers

Peter Aiken
Comparison fields: 5 of 69
  • Management Information Systems 99
  • Information Systems 143
  • Software 24
  • Management Science and Operations Research 77
  • Human-Computer Interaction 27
Replace Richard D. Hackathorn with:
Richard D. Hackathorn United States
Lonnie D. Bentley United States
Nicolas Prat France
Airi Salminen Finland
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Bernard H. Boar United States
Joseph Barjis Netherlands
Harry Katzan United States
Elmar J. Sinz Germany
Peter Aiken relative to Richard D. Hackathorn United States Richard D. Hackathorn's profile →
Citations per field
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Citations per year

Countries citing papers authored by Peter Aiken

Since Specialization
Citations

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

Fields of papers citing papers by Peter Aiken

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Peter Aiken, 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 Peter Aiken Line = papers co-authored together Peter Aiken links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199444
2 199343
3
Building Corporate Portals with XML
199928
4 199727
5 200724
6
Data Reverse Engineering : Slaying the Legacy Dragon
199523
7 201423
8 200017
9 201416
10 199814
11 19989
12
The Case for the Chief Data Officer: Recasting the C-Suite to Leverage Your Most Valuable Asset
20139
13 20118
14 19948
15
A hypermedia workstation for requirements engineering
19896
16 19994
17 19984
18 20023
19 20103
20 20163

About Peter Aiken

Peter Aiken is a scholar working on Management Information Systems, Information Systems, Computer Networks and Communications, Management Science and Operations Research and Artificial Intelligence, having authored 31 papers that have together received 329 indexed citations. Recurring topics across this work include Big Data and Business Intelligence (7 papers), Software Engineering Research (7 papers), Data Quality and Management (6 papers), Advanced Database Systems and Queries (6 papers), Software Engineering Techniques and Practices (5 papers), Business Process Modeling and Analysis (4 papers), Usability and User Interface Design (3 papers) and Human-Automation Interaction and Safety (2 papers). The work is most often cited by research in Management Information Systems (99 citations), Information Systems (143 citations), Software (24 citations), Management Science and Operations Research (77 citations) and Human-Computer Interaction (27 citations). Peter Aiken has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Kim Halskov, Clive Finkelstein, Tor Guimãrães, M. David Allen, Victoria Yoon, Sarah Larkins, Michael M. Gorman, Abhishek Joshi, Lynden Roberts and Sabe Sabesan. Their work appears in journals such as Communications of the ACM, Computer, Information Systems Management, IEEE Software and Computational and Mathematical Organization Theory.

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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