Peter Aiken

523 citations
36 papers · 392 · h-index 12

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

33 papers receiving 328 citations

Peers

Peter Aiken
Comparison fields: 5 of 73
  • Management Information Systems 121
  • Information Systems 174
  • Management Science and Operations Research 88
  • Software 25
  • Human-Computer Interaction 30
Replace Richard D. Hackathorn with:
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Citations per field
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Richard D. Hackathorn · 1×
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 24 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 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199455
2 199344
3
Building Corporate Portals with XML
199932
4 200731
5 199730
6
Data Reverse Engineering : Slaying the Legacy Dragon
199527
7 201426
8 200021
9 201421
10 199818
11 199811
12
The Case for the Chief Data Officer: Recasting the C-Suite to Leverage Your Most Valuable Asset
201311
13 20119
14 19949
15 20166
16
A hypermedia workstation for requirements engineering
19896
17 19995
18 19984
19 20023
20
XML AND CORPORATE PORTALS
19993

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 36 papers that have together received 392 indexed citations. Recurring topics across this work include Big Data and Business Intelligence (10 papers), Software Engineering Research (8 papers), Advanced Database Systems and Queries (7 papers), Data Quality and Management (7 papers), Software Engineering Techniques and Practices (6 papers), Business Process Modeling and Analysis (5 papers), Usability and User Interface Design (3 papers) and Software System Performance and Reliability (2 papers). The work is most often cited by research in Management Information Systems (121 citations), Information Systems (174 citations), Management Science and Operations Research (88 citations), Software (25 citations) and Human-Computer Interaction (30 citations). Peter Aiken has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Clive Finkelstein, M. David Allen, Victoria Yoon, Tor Guimãrães, Amita Goyal Chin, Michael M. Gorman, Sarah Larkins, Abhishek Joshi, Sabe Sabesan and Lynden Roberts. Their work appears in journals such as Communications of the ACM, Computer, Journal of Database Management, Computational and Mathematical Organization Theory and Journal of Data and Information Quality.

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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