The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Norbert Siegmund sits on this spectrum.
This scientist: 137 publications — 21st percentile
21% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Norbert Siegmund sits on this spectrum.
This scientist: 31 D-Index — 6th percentile
6% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Norbert Siegmund is affiliated with Leipzig University in Germany and specializes in computer science with a significant focus on software system performance and reliability. Their research spans several main fields within computer science, including computer networks and communications, information systems, artificial intelligence, software, and computer science applications.
The primary topics of Siegmund's research include software system performance and reliability, software engineering research, advanced software engineering methodologies, software reliability and analysis, service-oriented architecture and web services, teaching and learning programming, and AI in service interactions.
Their recent notable papers include the following:
Siegmund collaborates frequently with several coauthors, including Sven Apel with 22 joint publications, Christian Kaltenecker with 10, Johannes Dorn with 8, Florian Sattler also with 8, and Stefan Mühlbauer with 5 publications.
Their work has appeared repeatedly in prominent venues. The most frequent publication venues include:
The broad fields they have contributed to reflect an interdisciplinary approach combining software engineering, performance analysis, and artificial intelligence, addressing challenges such as configuration debugging, energy-efficient AI application in software, and automation in urban design through AI frameworks.
Norbert Siegmund;Alexander Grebhahn;Sven Apel;Christian Kästner
Norbert Siegmund;Sergiy S. Kolesnikov;Christian Kastner;Sven Apel
Norbert Siegmund;Marko Rosenmüller;Martin Kuhlemann;Christian Kästner
Thomas Thum;Christian Kastner;Sebastian Erdweg;Norbert Siegmund
Jianmei Guo;Krzysztof Czarnecki;Sven Apely;Norbert Siegmundy
Janet Siegmund;Norbert Siegmund;Sven Apel
Atri Sarkar;Jianmei Guo;Norbert Siegmund;Sven Apel
Jeho Oh;Don Batory;Margaret Myers;Norbert Siegmund
Unknown
Unknown
Vivek Nair;Tim Menzies;Norbert Siegmund;Sven Apel
Norbert Siegmund;Marko RosenmüLler;Christian KäStner;Paolo G. Giarrusso
Jianmei Guo;Dingyu Yang;Norbert Siegmund;Sven Apel
Marko Rosenmüller;Norbert Siegmund
Sebastian Breß;Max Heimel;Norbert Siegmund;Ladjel Bellatreche
Vivek Nair;Zhe Yu;Tim Menzies;Norbert Siegmund
Marko Rosenmüller;Norbert Siegmund;Thomas Thüm;Gunter Saake
Pooyan Jamshidi;Miguel Velez;Christian Kastner;Norbert Siegmund
Pooyan Jamshidi;Norbert Siegmund;Miguel Velez;Christian Kastner
Sven Apel;Sergiy Kolesnikov;Norbert Siegmund;Christian Kästner
Norbert Siegmund;Marko Rosenmuller;Christian Kastner;Paolo G. Giarrusso
Christian Kaltenecker;Alexander Grebhahn;Norbert Siegmund;Jianmei Guo
Marko Rosenmüller;Norbert Siegmund;Horst Schirmeier;Julio Sincero
Marko Rosenmüller;Norbert Siegmund;Mario Pukall;Sven Apel
Norbert Siegmund;Alexander Grebhahn;Sven Apel;Christian Kästner
If you think any of the details on this page are incorrect, let us know.
Exploring computer science in the USA also opens doors to various related online degrees and future career options. Many students considering this field often compare it with engineering or science disciplines. For instance, choosing a mechanical engineering degree online cost can help budget-conscious students find affordable pathways to industry-ready skills.
A growing number of learners are also interested in pursuing an online bachelor's degree in physics. This degree develops strong analytical and problem-solving skills, preparing graduates for roles in research, tech, and engineering.
As demand for data professionals rises, there is extensive interest in data science programs. These programs blend statistics, programming, and domain knowledge, enabling graduates to analyze big data and drive decision-making in various sectors.
In addition, those seeking a blend of computer science and engineering may consider an online bachelor’s in electrical engineering. This pathway offers flexibility and leads to careers in electronics, robotics, and emerging tech industries.
Victoria University of Wellington
Florida State University
University of Western Ontario
University of California, San Francisco
University of Zurich
University of Sydney
University of Chicago
University of Liverpool
University of Cambridge
Vrije Universiteit Amsterdam
KU Leuven
City Of Hope National Medical Center
Nagoya University
National Autonomous University of Mexico
University of Stirling
Université de Sherbrooke
