Ken Power

724 citations
31 papers · 496 · h-index 12

Impact in

Papers in

Ken Power

28 papers receiving 460 citations

Peers

Ken Power
Comparison fields: 5 of 70
  • Information Systems 334
  • Computer Science Applications 68
  • Management of Technology and Innovation 83
  • Management Information Systems 97
  • Software 25
Replace Daniel Karlström with:
Daniel Karlström Sweden
Maarit Laanti Finland
Tuomo Kähkönen Finland
Michael Stupperich Germany
Daniel Kiefer Germany
João Batista de Camargo Brazil
Ana Rita Tiradentes Terra Argoud Brazil
Colin Tully Italy
Eckhart Hanser Germany
Nanette Brown United States
Ken Power relative to Daniel Karlström Sweden Daniel Karlström's profile →
Citations per field
00.5×5×10×15×20×22.5×
Daniel Karlström · 1×
Citations per year

Countries citing papers authored by Ken Power

Since Specialization
Citations

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

Fields of papers citing papers by Ken Power

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Ken Power, 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 Ken Power Line = papers co-authored together Ken Power 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 2012130
2 201989
3 202362
4 201326
5 201423
6
Understanding the impact of technical debt on the capacity and velocity of teams and organizations: viewing team and organization capacity as a portfolio of real options
201321
7 202516
8 201016
9 201115
10 201415
11 201314
12 201113
13 201511
14 20116
15 20146
16 20145
17 20144
18 20104
19 20183
20 20193

About Ken Power

Ken Power is a scholar working on Information Systems, Management of Technology and Innovation, Management Information Systems, Computer Science Applications and Strategy and Management, having authored 31 papers that have together received 496 indexed citations. Recurring topics across this work include Software Engineering Techniques and Practices (13 papers), Software Engineering Research (7 papers), Collaboration in agile enterprises (7 papers), Open Source Software Innovations (4 papers), Innovation and Knowledge Management (3 papers), Complex Systems and Decision Making (3 papers), Supply Chain Resilience and Risk Management (2 papers) and Sepsis Diagnosis and Treatment (2 papers). The work is most often cited by research in Information Systems (334 citations), Computer Science Applications (68 citations), Management of Technology and Innovation (83 citations), Management Information Systems (97 citations) and Software (25 citations). Ken Power has collaborated with scholars based in United States, Ireland and Norway. Frequent co-authors include Kieran Conboy, Davide Falessi, Lorraine Morgan, Klaas-Jan Stol, Brian F. Fitzgerald, Ricardo Valerdi, Rebecca Wirfs-Brock, Lorraine Morgan, Katie Taylor and Carmine Giardino. Their work appears in journals such as JAMA, Journal of Systems and Software, JAMA Network Open, IEEE Software and Computers and Electronics in Agriculture.

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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