Lutz Prechelt

7.4k citations
108 papers · 3.4k · 1 hit paper · h-index 24

Impact in

  • Software top 0.5%
    • Software Reliability and Analysis Research
    • Software Testing and Debugging Techniques
    • Software Engineering Research
    • Software Engineering Techniques and Practices

Papers in

    • Software Engineering Research 48
    • Software Engineering Techniques and Practices 32
    • Advanced Software Engineering Methodologies 17
    • Neural Networks and Applications 15

Lutz Prechelt

103 papers receiving 3.0k citations

Lutz Prechelt's Hit Papers

Automatic early stopping using cross validation: quantifying the criteria 1998 · 699 citations
6990+9+18Years since publication200400600

Peers

Lutz Prechelt
Comparison fields: 5 of 164
  • Software 626
  • Information Systems 1.6k
  • Computer Science Applications 313
  • Artificial Intelligence 1.4k
  • Signal Processing 417
Replace Naeem Seliya with:
Naeem Seliya United States
Geoffrey J. Gordon United States
D. Sculley United States
Douglas Fisher United States
Xiaobing Sun China
Ji Wang China
Randall Wald United States
Jing Jiang Singapore
Carlo Sansone Italy
Juliana Freire United States
Lutz Prechelt relative to Naeem Seliya United States Naeem Seliya's profile →
Citations per field
00.5×4.0×
Naeem Seliya · 1×
Citations per year

Countries citing papers authored by Lutz Prechelt

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Lutz Prechelt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lutz Prechelt Line = papers co-authored together Lutz Prechelt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Automatic early stopping using cross validation: quantifying the criteria
Hit paper breakdown →
1998699
2 2000377
3 2000232
4 1995203
5 1994160
6 2002158
7 2001142
8 2002113
9 2000102
10 199687
11 199762
12 200158
13 199850
14
SKaMPI: A Detailed, Accurate MPI Benchmark
199849
15 200343
16 200139
17 200038
18 200836
19 199834
20 199534

About Lutz Prechelt

Lutz Prechelt is a scholar working on Information Systems, Artificial Intelligence, Software, Computer Networks and Communications and Computer Science Applications, having authored 108 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 (32 papers), Advanced Software Engineering Methodologies (17 papers), Software Reliability and Analysis Research (16 papers), Neural Networks and Applications (15 papers), Software Testing and Debugging Techniques (11 papers), Software System Performance and Reliability (8 papers) and Open Source Software Innovations (6 papers). The work is most often cited by research in Software (626 citations), Information Systems (1.6k citations), Computer Science Applications (313 citations), Artificial Intelligence (1.4k citations) and Signal Processing (417 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, Barbara Unger, Christian Krämer, Ernst A. Heinz, Paul Lukowicz, Rainer Typke, Lawrence G. Votta and Ralf Reussner. Their work appears in journals such as IEEE Transactions on Software Engineering, Neural Networks, Communications of the ACM, Information and Software Technology and Neurocomputing.

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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