Sebastian G. Elbaum
Sebastian G. Elbaum publishes mostly in Software, Information Systems and Computer Networks and Communications, on topics such as Software Testing and Debugging Techniques, Software Engineering Research and Software Reliability and Analysis Research.
- World rank
- #124,582 of 7,710,434 ranked researchers
- Rank in United States
- #47,383 of 1,627,098
- Works
- 247
- Citations
- 9.4k
- Citations per work
- 38.2
What does Sebastian G. Elbaum research?
Sebastian G. Elbaum's work is mostly in Computer Science (72%), Engineering (3%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Physical Sciences18675.2%
- Computer Science17872.1%
- Engineering83.1%
- Everything else6124.8%
- 1Software29% of their works
- 2Information Systems16% of their works
- 3Computer Networks and Communications13% of their works
- 4Artificial Intelligence10% of their works
- 5Computer Vision and Pattern Recognition4% of their works
- 6Aerospace Engineering3% of their works
Research topics
- Software Testing and Debugging Techniques
- Software Engineering Research
- Software Reliability and Analysis Research
- Software System Performance and Reliability
- Adversarial Robustness in Machine Learning
- Advanced Software Engineering Methodologies
- Autonomous Vehicle Technology and Safety
- Advanced Malware Detection Techniques
Which keywords describe Sebastian G. Elbaum's research?
The keywords of their largest research topics: Machine Learning, Automated Testing, Software Fault Localization, Code Clone Detection, Refactoring, Architecture-Based Approach, Software Reliability Modeling and Log Analysis.
- Detection
- Trajectory Prediction
- Self-Adaptive Systems
- Robustness
- Deep Learning
- Log Analysis
- Architecture-Based Approach
- Code Clone Detection
- Automated Testing
- Machine Learning
- Software Fault Localization
- Refactoring
- Software Reliability Modeling
- Performance Prediction
- Adversarial Examples
- Autonomic Computing
- Autonomous Vehicles
- Android Malware
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.
All 18 words, with their numbers
- Machine Learning1234 topics
- Automated Testing1211 topic
- Software Fault Localization1211 topic
- Code Clone Detection791 topic
- Refactoring791 topic
- Architecture-Based Approach661 topic
- Software Reliability Modeling661 topic
- Log Analysis621 topic
- Performance Prediction621 topic
- Deep Learning443 topics
- Adversarial Examples201 topic
- Robustness201 topic
- Autonomic Computing141 topic
- Self-Adaptive Systems141 topic
- Autonomous Vehicles131 topic
- Trajectory Prediction131 topic
- Android Malware111 topic
- Detection111 topic
Where does Sebastian G. Elbaum work?
Sebastian G. Elbaum's main affiliation in the publication record is University of Nebraska–Lincoln, United States.
How many publications and citations does Sebastian G. Elbaum have?
OpenAlex counts 247 works and 9,437 citations for Sebastian G. Elbaum, an h-index of 44, ranking #124,582 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
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