Emma Söderberg

569 total citations
30 papers, 378 citations indexed

About

Emma Söderberg is a scholar working on Information Systems, Software and Artificial Intelligence. According to data from OpenAlex, Emma Söderberg has authored 30 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Information Systems, 10 papers in Software and 9 papers in Artificial Intelligence. Recurrent topics in Emma Söderberg's work include Software Engineering Research (23 papers), Software Engineering Techniques and Practices (8 papers) and Model-Driven Software Engineering Techniques (6 papers). Emma Söderberg is often cited by papers focused on Software Engineering Research (23 papers), Software Engineering Techniques and Practices (8 papers) and Model-Driven Software Engineering Techniques (6 papers). Emma Söderberg collaborates with scholars based in Sweden, United Kingdom and United States. Emma Söderberg's co-authors include Caitlin Sadowski, Luke Church, Alberto Bacchelli, Ciera Jaspan, Görel Hedin, Torbjörn Ekman, Eva Magnusson, Martin Höst, Christofer Rydenfält and Uwe Aßmann and has published in prestigious journals such as Science of Computer Programming, Proceedings of the ACM on Programming Languages and Computer Languages Systems & Structures.

In The Last Decade

Emma Söderberg

25 papers receiving 369 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Emma Söderberg Sweden 7 319 170 87 80 60 30 378
Francisco Servant United States 15 391 1.2× 269 1.6× 105 1.2× 52 0.7× 115 1.9× 30 469
Sven Amann Germany 11 282 0.9× 132 0.8× 71 0.8× 43 0.5× 119 2.0× 17 352
David Röthlisberger Switzerland 10 314 1.0× 121 0.7× 147 1.7× 64 0.8× 138 2.3× 23 360
Silvia Breu United Kingdom 10 346 1.1× 150 0.9× 140 1.6× 65 0.8× 106 1.8× 18 383
Chaiyong Ragkhitwetsagul Thailand 12 413 1.3× 206 1.2× 94 1.1× 77 1.0× 84 1.4× 37 470
Otávio Augusto Lazzarini Lemos Brazil 14 425 1.3× 281 1.7× 173 2.0× 63 0.8× 95 1.6× 34 509
Timofey Bryksin Russia 10 209 0.7× 138 0.8× 87 1.0× 41 0.5× 55 0.9× 43 312
Oliver Hummel Germany 9 288 0.9× 106 0.6× 114 1.3× 41 0.5× 94 1.6× 39 359
Katsuhisa Maruyama Japan 11 390 1.2× 192 1.1× 162 1.9× 30 0.4× 112 1.9× 52 446
Eelco Dolstra Netherlands 11 324 1.0× 116 0.7× 152 1.7× 75 0.9× 146 2.4× 25 412

Countries citing papers authored by Emma Söderberg

Since Specialization
Citations

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

Fields of papers citing papers by Emma Söderberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emma Söderberg

This figure shows the co-authorship network connecting the top 25 collaborators of Emma Söderberg. A scholar is included among the top collaborators of Emma Söderberg 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 Emma Söderberg. Emma Söderberg 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
1.
Söderberg, Emma, et al.. (2025). Support, Not Automation: Towards AI-supported Code Review For Code Quality and Beyond. Lund University Publications (Lund University). 591–595.
2.
Söderberg, Emma, et al.. (2024). Ironies of Programming Automation: Exploring the Experience of Code Synthesis via Large Language Models. Lund University Publications (Lund University). 12–21. 2 indexed citations
3.
Söderberg, Emma, et al.. (2024). Design of Flexible Code Block Comparisons to Improve Code Review of Refactored Code. Lund University Publications (Lund University). 57–67. 1 indexed citations
4.
Runeson, Per, Emma Söderberg, & Martin Höst. (2024). A Conceptual Framework and Recommendations for Open Data and Artifacts in Empirical Software Engineering. Lund University Publications (Lund University). 68–75. 2 indexed citations
5.
Söderberg, Emma, et al.. (2024). Developers' Perspective on Today's and Tomorrow's Programming Tool Assistance: A Survey. KTH Publication Database DiVA (KTH Royal Institute of Technology). 108–116. 1 indexed citations
6.
Söderberg, Emma, et al.. (2023). GANDER: a Platform for Exploration of Gaze-driven Assistance in Code Review. Lund University Publications (Lund University). 1–7. 3 indexed citations
7.
Söderberg, Emma, et al.. (2023). Toward Gaze-assisted Developer Tools. Lund University Publications (Lund University). 11. 49–54. 1 indexed citations
8.
Söderberg, Emma, et al.. (2023). Programmer Stories, Stories for Programmers: Exploring Storytelling in Software Development. Lund University Publications (Lund University). 68–75. 1 indexed citations
9.
Söderberg, Emma, Luke Church, Jürgen Börstler, Diederick C. Niehorster, & Christofer Rydenfält. (2022). What's bothering developers in code review?. KTH Publication Database DiVA (KTH Royal Institute of Technology). 341–342. 1 indexed citations
10.
Söderberg, Emma, Luke Church, Jürgen Börstler, Diederick C. Niehorster, & Christofer Rydenfält. (2022). What's bothering developers in code review?. Lund University Publications (Lund University). 341–342.
11.
Söderberg, Emma, Luke Church, Jürgen Börstler, Diederick C. Niehorster, & Christofer Rydenfält. (2022). Understanding the Experience of Code Review: Misalignments, Attention, and Units of Analysis. KTH Publication Database DiVA (KTH Royal Institute of Technology). 170–179. 7 indexed citations
12.
Söderberg, Emma, et al.. (2021). JavaDL: automatically incrementalizing Java bug pattern detection. Proceedings of the ACM on Programming Languages. 5(OOPSLA). 1–31. 6 indexed citations
13.
Church, Luke & Emma Söderberg. (2021). Probes and Sensors: The Design of Feedback Loops for Usability Improvements. Lund University Publications (Lund University). 124–137. 1 indexed citations
14.
Söderberg, Emma, et al.. (2021). Case Study on Data-Driven Deployment of Program Analysis on an Open Tools Stack. Lund University Publications (Lund University). 208–217. 3 indexed citations
15.
Söderberg, Emma, Luke Church, & Martin Höst. (2021). Open Data-driven Usability Improvements of Static Code Analysis and its Challenges. Lund University Publications (Lund University). 272–277.
16.
Hedin, Görel, et al.. (2020). Relational reference attribute grammars: Improving continuous model validation. Lund University Publications (Lund University). 57. 100940–100940. 12 indexed citations
17.
Söderberg, Emma, et al.. (2020). Principles and patterns of JastAdd-style reference attribute grammars. Lund University Publications (Lund University). 75. 86–100. 1 indexed citations
18.
Söderberg, Emma, et al.. (2020). JBrainy: Micro-benchmarking Java Collections with Interference. Lund University Publications (Lund University). 42–45. 1 indexed citations
19.
Sadowski, Caitlin, et al.. (2015). Tricorder: Building a Program Analysis Ecosystem. 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering. 598–608. 95 indexed citations
20.
Söderberg, Emma, Torbjörn Ekman, Görel Hedin, & Eva Magnusson. (2012). Extensible intraprocedural flow analysis at the abstract syntax tree level. Science of Computer Programming. 78(10). 1809–1827. 24 indexed citations

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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