Frank Armour

32 papers receiving 1.0k citations

Hit Papers

Big Data: Issues and Challenges Moving Forward20132026201720212013100200300400500

Peers

Frank Armour
Comparison fields: 5 of 99
  • Management Information Systems 749
  • Information Systems 433
  • Management Science and Operations Research 169
  • Artificial Intelligence 168
  • Information Systems and Management 147
Replace Stephen H. Kaisler with:
Stephen H. Kaisler United States
William H. Money United States
Pnina Soffer Israel
Arun Sen United States
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Chris Eaton
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Frank Armour relative to Stephen H. Kaisler United States Stephen H. Kaisler's profile →
Citations per field
00.5×1.5×
Stephen H. Kaisler · 1×
Citations per year

Countries citing papers authored by Frank Armour

Since Specialization
Citations

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

Fields of papers citing papers by Frank Armour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Armour

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Armour. A scholar is included among the top collaborators of Frank Armour 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 Frank Armour. Frank Armour 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 3
2 1
3 10
4
Key Management and Governance Challenges when Executing Data Science / Analytics Projects
1
5 3
6 35
7 1
8
Big Data: Issues and Challenges Moving Forwardbreakdown →
571
9 6
10 3
11 12
12 18
13 1
14 8
15 147
16
Advanced Use Case Modeling: Software Systems
40
17 8
18 77
19
A cluster analysis and prototyping approach for the risk management of software requirements
0
20 2

About Frank Armour

Frank Armour is a scholar working on Management Information Systems, Communication and Information Systems and Management, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Information Technology Governance and Strategy (19 papers), Big Data and Business Intelligence (12 papers) and Business Process Modeling and Analysis (12 papers). The work is most often cited by research in Management Information Systems (749 citations), Information Systems and Management (147 citations) and Information Systems (433 citations). Frank Armour has collaborated with scholars based in United States, Singapore and Netherlands. Frequent co-authors include Stephen H. Kaisler, J. Alberto Espinosa, William H. Money, G. G. Miller, Wai Fong Boh, Ramesh Sharda, Jeffrey Saltz, José Espinosa, Mark A. Clark and Michael Goul. Their work appears in journals such as Journal of the Association for Information Systems, IEEE Transactions on Engineering Management and Communications 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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