Thomas Leich

3.3k total citations · 1 hit paper
114 papers, 2.0k citations indexed

About

Thomas Leich is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Thomas Leich has authored 114 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Information Systems, 73 papers in Artificial Intelligence and 34 papers in Computer Networks and Communications. Recurrent topics in Thomas Leich's work include Advanced Software Engineering Methodologies (63 papers), Software Engineering Research (59 papers) and Service-Oriented Architecture and Web Services (26 papers). Thomas Leich is often cited by papers focused on Advanced Software Engineering Methodologies (63 papers), Software Engineering Research (59 papers) and Service-Oriented Architecture and Web Services (26 papers). Thomas Leich collaborates with scholars based in Germany, Netherlands and Sweden. Thomas Leich's co-authors include Gunter Saake, Sven Apel, Christian Kästner, Thomas Thüm, Jacob Krüger, Fabian Benduhn, Jens Meinicke, Janet Siegmund, Janet Feigenspan and Reimar Schröter and has published in prestigious journals such as IEEE Transactions on Software Engineering, Physical review. B. and Journal of Systems and Software.

In The Last Decade

Thomas Leich

109 papers receiving 1.9k citations

Hit Papers

FeatureIDE: An extensible framework for feature-oriented ... 2012 2026 2016 2021 2012 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. FeatureIDE: An extensible framework for feature-oriented software development
    2012 277 citations Christian Kästner, Fabian Benduhn et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Leich Germany 22 1.5k 1.4k 554 520 137 114 2.0k
Giuseppe Scanniello Italy 23 1.7k 1.2× 626 0.4× 835 1.5× 462 0.9× 222 1.6× 192 2.1k
Tessa Lau United States 24 750 0.5× 543 0.4× 319 0.6× 246 0.5× 309 2.3× 56 1.7k
A. von Mayrhauser United States 23 1.5k 1.0× 616 0.4× 792 1.4× 315 0.6× 299 2.2× 85 1.8k
Martin Glinz Switzerland 20 1.3k 0.9× 857 0.6× 529 1.0× 317 0.6× 169 1.2× 107 1.8k
Allen Cypher United States 17 634 0.4× 590 0.4× 469 0.8× 287 0.6× 530 3.9× 42 1.9k
Marcelo Campo Argentina 23 988 0.7× 784 0.6× 110 0.2× 450 0.9× 375 2.7× 107 1.8k
Matthias Galster New Zealand 18 936 0.6× 632 0.5× 161 0.3× 330 0.6× 120 0.9× 113 1.3k
Chengzheng Sun Australia 23 1.3k 0.9× 517 0.4× 156 0.3× 1.2k 2.2× 63 0.5× 114 2.3k
James O. Coplien United States 16 1.1k 0.8× 953 0.7× 395 0.7× 384 0.7× 135 1.0× 54 1.8k
Mohamed Wiem Mkaouer United States 26 1.5k 1.0× 459 0.3× 844 1.5× 372 0.7× 227 1.7× 126 2.0k

Countries citing papers authored by Thomas Leich

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Leich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Leich

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Leich. A scholar is included among the top collaborators of Thomas Leich 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 Thomas Leich. Thomas Leich 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.
Krüger, Jacob, et al.. (2025). A methodology for Electrics/Electronics platform release management in the automotive domain. Journal of Systems and Software. 231. 112605–112605.
2.
3.
May, Richard, Jacob Krüger, & Thomas Leich. (2024). SoK: How Artificial-Intelligence Incidents Can Jeopardize Safety and Security. TU/e Research Portal. 1–12. 1 indexed citations
4.
Krüger, Jacob, et al.. (2024). Insights into Transitioning towards Electrics/Electronics Platform Management in the Automotive Industry. TU/e Research Portal. 161–172. 2 indexed citations
5.
Krüger, Jacob, et al.. (2024). Decision Making for Managing Automotive Platforms: An Interview Survey on the State-of-Practice. TU/e Research Portal. 318–328. 2 indexed citations
6.
May, Richard, et al.. (2024). Vulnerably (Mis)Configured? Exploring 10 Years of Developers' Q&As on Stack Overflow. TU/e Research Portal. 112–122.
7.
Krüger, Jacob, et al.. (2024). The Terminology of Automotive Product-Structuring Concepts: A Systematic Mapping Study. IEEE Transactions on Engineering Management. 71. 14974–14990. 1 indexed citations
8.
Krüger, Jacob, et al.. (2023). Electrics/Electronics Platforms in the Automotive Industry: Challenges and Directions for Variant-Rich Systems Engineering. TU/e Research Portal. 50–59. 6 indexed citations
9.
Leich, Thomas, et al.. (2023). Product-Structuring Concepts for Automotive Platforms. TU/e Research Portal. 170–181. 4 indexed citations
10.
Krüger, Jacob, et al.. (2023). VariantInc. TU/e Research Portal. 129–140. 3 indexed citations
11.
Krüger, Jacob, et al.. (2023). DSDGen. TU/e Research Portal. 47–56. 3 indexed citations
12.
13.
Krüger, Jacob, et al.. (2019). Search. Review. Repeat? An empirical study of threats to replicating SLR searches. Empirical Software Engineering. 25(1). 627–677. 31 indexed citations
14.
Krüger, Jacob, Mustafa Al‐Hajjaji, Thomas Leich, & Gunter Saake. (2018). Mutation operators for feature‐oriented software product lines. Software Testing Verification and Reliability. 29(1-2). 5 indexed citations
15.
Peitek, Norman, Janet Siegmund, Sven Apel, et al.. (2018). A Look into Programmers’ Heads. IEEE Transactions on Software Engineering. 46(4). 442–462. 44 indexed citations
16.
Krüger, Jacob, et al.. (2018). Commenting source code: is it worth it for small programming tasks?. Empirical Software Engineering. 24(3). 1418–1457. 17 indexed citations
17.
Krüger, Jacob, et al.. (2017). Composing annotations without regret? Practical experiences using FeatureC. Software Practice and Experience. 48(3). 402–427. 15 indexed citations
18.
Rosenmüller, Marko, Christian Kästner, Norbert Siegmund, et al.. (2009). SQL á la Carte - Toward Tailor-made Data Management.. BTW. 117–136. 10 indexed citations
19.
Saake, Gunter, Marko Rosenmüller, Norbert Siegmund, Christian Kästner, & Thomas Leich. (2009). Downsizing Data Management for Embedded Systems.. 31. 1–13. 8 indexed citations
20.
Rosenmüller, Marko, Thomas Leich, & Sven Apel. (2007). Konfigurierbarkeit für ressourceneffiziente Datenhaltung in eingebetteten Systemen am Beispiel von Berkeley DB.. 329–341. 1 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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