Laura Lehtola

1.2k citations
15 papers · 531 indexed · h-index 12
Topics
Software Engineering Techniques and Practices (12 papers)Open Source Software Innovations (9 papers)Software Engineering Research (8 papers)

In The Last Decade

Laura Lehtola

15 papers receiving 468 citations

Peers

Laura Lehtola
Comparison fields: 5 of 64
  • Information Systems 376
  • Computer Science Applications 121
  • Artificial Intelligence 119
  • Management Information Systems 80
  • Software 52
Replace Marjo Kauppinen with:
Marjo Kauppinen Finland
Alexandre Álvaro Brazil
Gerry Coleman Ireland
Antonio de Amescua Seco Spain
Paolo Tell Denmark
J. Kontio Finland
Jose A. Calvo‐Manzano Spain
Donald C. Gause United States
Yael Dubinsky Israel
Eric Ras Germany
Laura Lehtola relative to Marjo Kauppinen Finland Marjo Kauppinen's profile →
Citations per field
00.5×1.7×
Marjo Kauppinen · 1×
Citations per year

Countries citing papers authored by Laura Lehtola

Since Specialization
Citations

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

Fields of papers citing papers by Laura Lehtola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Lehtola

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Lehtola. A scholar is included among the top collaborators of Laura Lehtola 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 Laura Lehtola. Laura Lehtola is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 16
2
The Challenge of Release Planning Visible But Not Seen
1
3 7
4 13
5 15
6 24
7 15
8 6
9 72
10
Towards a Research Framework on Requirements Prioritization
39
11 34
12 75
13 84
14 112
15 18

About Laura Lehtola

Laura Lehtola is a scholar working on Computer Science Applications, Business and International Management and Information Systems, having authored 15 papers that have together received 531 indexed citations. Recurring topics across this work include Software Engineering Techniques and Practices (12 papers), Open Source Software Innovations (9 papers) and Software Engineering Research (8 papers). The work is most often cited by research in Computer Science Applications (121 citations), Information Systems (376 citations) and Software (52 citations). Laura Lehtola has collaborated with scholars based in Finland, United States and Netherlands. Frequent co-authors include Marjo Kauppinen, Johanna Bragge, J. Kontio, Sari Kujala, Marko Komssi, Patrik Berander, Alan M. Davis, A.M. Davis, Juha Savolainen and Sami Jantunen. Their work appears in journals such as Requirements Engineering and Software Process Improvement and Practice.

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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