Daniel E. Krutz
Impact in
- Software top 5%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Human Factors and Ergonomics top 5%
- Digital Accessibility for Disabilities
Papers in
-
- Software Engineering Research 17
- Digital and Cyber Forensics 8
- Software Engineering Techniques and Practices 4
-
- Advanced Malware Detection Techniques 13
- Co-authors
- Anthony Peruma (8 shared papers)Emad Shihab (2 shared papers)Yasmine N. Elglaly (4 shared papers)Mohamed Wiem Mkaouer (4 shared papers)Qi Yu (6 shared papers)Wei Le (1 shared paper)Nuthan Munaiah (3 shared papers)Travis Desell (4 shared papers)
- Journals
- ACM Transactions on Software Engineering and Methodology (1 paper)ACM Inroads (3 papers)Proceedings of the Genetic and Evolutionary Computation Conference (1 paper)2021 IEEE International Conference on Big Data (Big Data) (1 paper)VU Research Portal (1 paper)
- Partner nations
- United StatesItalyNetherlands
In The Last Decade
Daniel E. Krutz
40 papers receiving 269 citations
Peers
Comparison fields: 5 of 43
- Software 101
- Human Factors and Ergonomics 46
- Signal Processing 119
- Computer Science Applications 49
- Information Systems 170
Countries citing papers authored by Daniel E. Krutz
This map shows the geographic impact of Daniel E. Krutz'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 Daniel E. Krutz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel E. Krutz more than expected).
Fields of papers citing papers by Daniel E. Krutz
This network shows the impact of papers produced by Daniel E. Krutz. 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 Daniel E. Krutz. The network helps show where Daniel E. Krutz may publish in the future.
Co-authors
The 23 scholars most cited alongside Daniel E. Krutz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 31 | |
| 2 | 2015 | 26 | |
| 3 | 2013 | 25 | |
| 4 | 2020 | 21 | |
| 5 | 2014 | 16 | |
| 6 | 2018 | 13 | |
| 7 | 2019 | 12 | |
| 8 | 2017 | 12 | |
| 9 | 2020 | 11 | |
| 10 | 2016 | 11 | |
| 11 | 2017 | 8 | |
| 12 | 2019 | 8 | |
| 13 | 2018 | 7 | |
| 14 | 2020 | 7 | |
| 15 | 2019 | 6 | |
| 16 | 2018 | 6 | |
| 17 | 2016 | 6 | |
| 18 | 2017 | 6 | |
| 19 | 2013 | 5 | |
| 20 | 2012 | 5 |
About Daniel E. Krutz
Daniel E. Krutz is a scholar working on Information Systems, Signal Processing, Software, Human Factors and Ergonomics and Artificial Intelligence, having authored 42 papers that have together received 278 indexed citations. Recurring topics across this work include Software Engineering Research (17 papers), Software Testing and Debugging Techniques (14 papers), Advanced Malware Detection Techniques (13 papers), Digital Accessibility for Disabilities (10 papers), Digital and Cyber Forensics (8 papers), Advanced Software Engineering Methodologies (5 papers), Software Reliability and Analysis Research (4 papers) and Software Engineering Techniques and Practices (4 papers). The work is most often cited by research in Software (101 citations), Human Factors and Ergonomics (46 citations), Signal Processing (119 citations), Computer Science Applications (49 citations) and Information Systems (170 citations). Daniel E. Krutz has collaborated with scholars based in United States, Italy and Netherlands. Frequent co-authors include Anthony Peruma, Emad Shihab, Yasmine N. Elglaly, Mohamed Wiem Mkaouer, Qi Yu, Wei Le, Nuthan Munaiah, Travis Desell, Mehdi Mirakhorli and Michael W. Lutz. Their work appears in journals such as ACM Transactions on Software Engineering and Methodology, ACM Inroads, Proceedings of the Genetic and Evolutionary Computation Conference, 2021 IEEE International Conference on Big Data (Big Data) and VU Research Portal.
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.