Lutz Prechelt
- Information Systems top 0.2%
- Artificial Intelligence top 0.5%
- Software top 0.5%
- Computer Networks and Communications top 2%
- Signal Processing top 2%
- Co-authors
- Michæl PhilippsenWalter F. TichyGuido MalpohlChristian KrämerBarbara UngerPaul LukowiczErnst A. HeinzLawrence G. Votta
- Topics
- Software Engineering Research (48 papers)Software Engineering Techniques and Practices (33 papers)Advanced Software Engineering Methodologies (17 papers)
- Partner nations
- GermanyUnited StatesSpain
In The Last Decade
Lutz Prechelt
104 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Information Systems 1.6k
- Artificial Intelligence 1.4k
- Software 624
- Computer Networks and Communications 441
- Signal Processing 418
Countries citing papers authored by Lutz Prechelt
This map shows the geographic impact of Lutz Prechelt'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 Lutz Prechelt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lutz Prechelt more than expected).
Fields of papers citing papers by Lutz Prechelt
This network shows the impact of papers produced by Lutz Prechelt. 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 Lutz Prechelt. The network helps show where Lutz Prechelt may publish in the future.
Co-authorship network of co-authors of Lutz Prechelt
This figure shows the co-authorship network connecting the top 25 collaborators of Lutz Prechelt. A scholar is included among the top collaborators of Lutz Prechelt 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 Lutz Prechelt. Lutz Prechelt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | PP-ind: A Repository of Industrial Pair Programming Session Recordings. | 1 |
| 2 | 9 | |
| 3 | On the Status and Future of Peer Review in Software Engineering | 2 |
| 4 | 1 | |
| 5 | On Knowledge Transfer Skill in Pair Programming. | 1 |
| 6 | 4 | |
| 7 | 5 | |
| 8 | What Happens During Pair Programming. | 10 |
| 9 | A Coding Scheme Development Methodology Using Grounded Theory for Qualitative Analysis of Pair Programming. | 2 |
| 10 | 4 | |
| 11 | 1 | |
| 12 | Comparing Java vs. C/C++ efficiency differences to interpersonal differences | 15 |
| 13 | SKaMPI: A Detailed, Accurate MPI Benchmark | 49 |
| 14 | A Series of Controlled Experiments on Design Patterns: Methodology and Results | 7 |
| 15 | Re-Evaluating Inheritance Depth on the Maintainability of Object-Oriented Software | 6 |
| 16 | 18 | |
| 17 | 62 | |
| 18 | 8 | |
| 19 | 87 | |
| 20 | 34 |
About Lutz Prechelt
Lutz Prechelt is a scholar working on Software, Information Systems and Computer Science Applications, having authored 110 papers that have together received 3.4k indexed citations. Recurring topics across this work include Software Engineering Research (48 papers), Software Engineering Techniques and Practices (33 papers) and Advanced Software Engineering Methodologies (17 papers). The work is most often cited by research in Software (624 citations), Information Systems (1.6k citations) and Computer Science Applications (313 citations). Lutz Prechelt has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Michæl Philippsen, Walter F. Tichy, Guido Malpohl, Christian Krämer, Barbara Unger, Paul Lukowicz, Ernst A. Heinz, Lawrence G. Votta, Rainer Typke and Ralf Reussner. Their work appears in journals such as Communications of the ACM, IEEE Transactions on Software Engineering and Computer.
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.