Daniel Karlström

446 citations
7 papers · 264 · h-index 5

Impact in

    • Software Engineering Techniques and Practices
    • Software Engineering Research
  • Software top 10%
    • Software Reliability and Analysis Research

Papers in

Journals
Software Testing Verification and Reliability (1 paper)IEEE Software (1 paper)Empirical Software Engineering (1 paper)Lund University Publications (Lund University) (2 papers)IEE Proceedings - Software (1 paper)
Partner nations
Sweden

In The Last Decade

Daniel Karlström

7 papers receiving 220 citations

Peers

Daniel Karlström
Comparison fields: 5 of 33
  • Information Systems 216
  • Software 34
  • Management of Technology and Innovation 55
  • Computer Science Applications 39
  • Management Information Systems 50
Replace Michael Stupperich with:
Michael Stupperich Germany
Hiva Alahyari Sweden
Christof Ebert Germany
Ken Power United States
Philipp Diebold Germany
Jennifer Stapleton United Kingdom
Daniel Kiefer Germany
Maarit Laanti Finland
Clênio F. Salviano Brazil
Kristian Rautiainen Finland
Daniel Karlström relative to Michael Stupperich Germany Michael Stupperich's profile →
Citations per field
00.5×1.5×1.9×
Michael Stupperich · 1×
Citations per year

Countries citing papers authored by Daniel Karlström

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Karlström

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 3 scholars most cited alongside Daniel Karlström, 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 Daniel Karlström Line = papers co-authored together Daniel Karlström links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2005110
2 200695
3
Introducing Extreme Programming – An Experience Report
200224
4 200520
5 200211
6 20022
7
Practitioners' Expectations on Development Processes
20032

About Daniel Karlström

Daniel Karlström is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Management Information Systems and Software, having authored 7 papers that have together received 264 indexed citations. Recurring topics across this work include Software Engineering Techniques and Practices (7 papers), Software Engineering Research (7 papers), Advanced Software Engineering Methodologies (3 papers), Software System Performance and Reliability (2 papers), ERP Systems Implementation and Impact (1 paper) and Spreadsheets and End-User Computing (1 paper). The work is most often cited by research in Information Systems (216 citations), Software (34 citations), Management of Technology and Innovation (55 citations), Computer Science Applications (39 citations) and Management Information Systems (50 citations). Daniel Karlström has collaborated with scholars based in Sweden. Frequent co-authors include Per Runeson, Claes Wohlin and Martin Höst. Their work appears in journals such as Software Testing Verification and Reliability, IEEE Software, Empirical Software Engineering, Lund University Publications (Lund University) and IEE Proceedings - Software.

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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