W.K. Ehrlich

569 total citations
14 papers, 397 citations indexed

About

W.K. Ehrlich is a scholar working on Software, Safety, Risk, Reliability and Quality and Information Systems. According to data from OpenAlex, W.K. Ehrlich has authored 14 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Software, 8 papers in Safety, Risk, Reliability and Quality and 7 papers in Information Systems. Recurrent topics in W.K. Ehrlich's work include Software Reliability and Analysis Research (11 papers), Reliability and Maintenance Optimization (8 papers) and Software Engineering Research (4 papers). W.K. Ehrlich is often cited by papers focused on Software Reliability and Analysis Research (11 papers), Reliability and Maintenance Optimization (8 papers) and Software Engineering Research (4 papers). W.K. Ehrlich collaborates with scholars based in United States and Germany. W.K. Ehrlich's co-authors include A. Iannino, C. L. Mallows, Jing Wu, Vijayan N. Nair, David Hoeflin, Anestis Karasaridis, M. S. Alam, R.D. van der Mei and P.R. Verma and has published in prestigious journals such as Journal of the Royal Statistical Society Series C (Applied Statistics), IEEE Software and ACM SIGMETRICS Performance Evaluation Review.

In The Last Decade

W.K. Ehrlich

13 papers receiving 360 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
W.K. Ehrlich United States 9 352 201 109 73 37 14 397
Y. Tohma Japan 11 247 0.7× 150 0.7× 194 1.8× 41 0.6× 51 1.4× 27 377
C. Beounes France 5 187 0.5× 73 0.4× 106 1.0× 147 2.0× 46 1.2× 5 313
Larry Morell United States 7 551 1.6× 325 1.6× 71 0.7× 67 0.9× 68 1.8× 26 605
Steven J. Zeil United States 11 405 1.2× 221 1.1× 19 0.2× 67 0.9× 60 1.6× 34 452
Matthias Grochtmann Germany 8 359 1.0× 158 0.8× 17 0.2× 101 1.4× 55 1.5× 11 427
Suhyun Cha Germany 6 145 0.4× 88 0.4× 62 0.6× 51 0.7× 51 1.4× 26 252
Ramsay Taylor United Kingdom 4 363 1.0× 217 1.1× 20 0.2× 62 0.8× 99 2.7× 7 433
M.A. Qureshi United States 8 77 0.2× 24 0.1× 64 0.6× 121 1.7× 26 0.7× 21 336
Hung Nguyen Vietnam 3 163 0.5× 138 0.7× 9 0.1× 67 0.9× 43 1.2× 9 251
Francesca Saglietti Germany 7 126 0.4× 72 0.4× 32 0.3× 73 1.0× 42 1.1× 32 206

Countries citing papers authored by W.K. Ehrlich

Since Specialization
Citations

This map shows the geographic impact of W.K. Ehrlich'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 W.K. Ehrlich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W.K. Ehrlich more than expected).

Fields of papers citing papers by W.K. Ehrlich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W.K. Ehrlich. 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 W.K. Ehrlich. The network helps show where W.K. Ehrlich may publish in the future.

Co-authorship network of co-authors of W.K. Ehrlich

This figure shows the co-authorship network connecting the top 25 collaborators of W.K. Ehrlich. A scholar is included among the top collaborators of W.K. Ehrlich 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 W.K. Ehrlich. W.K. Ehrlich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Ehrlich, W.K., et al.. (2010). Detection of spam hosts and spam bots using network flow traffic modeling. 263(3). 7–7. 16 indexed citations
2.
3.
Ehrlich, W.K., et al.. (2002). How faults cause software failures: implications for software reliability engineering. 233–241. 5 indexed citations
4.
Ehrlich, W.K., et al.. (2002). Application of software reliability modeling to product quality and test process. 108–116. 16 indexed citations
5.
Ehrlich, W.K., et al.. (2000). End to End Performance Modeling of Web Server Architectures. ACM SIGMETRICS Performance Evaluation Review. 28(2). 57–63.
6.
Mei, R.D. van der, et al.. (2000). A decision support system for tuning Web servers in distributed object oriented network architectures. ACM SIGMETRICS Performance Evaluation Review. 27(4). 57–62. 7 indexed citations
7.
Nair, Vijayan N., et al.. (1998). A statistical assessment of some software testing strategies and application of experimental design techniques. Statistica Sinica. 8(1). 165–184. 25 indexed citations
8.
Ehrlich, W.K., et al.. (1998). Software Reliability Assessment using Accelerated Testing Methods. Journal of the Royal Statistical Society Series C (Applied Statistics). 47(1). 15–30. 3 indexed citations
9.
Mallows, C. L., et al.. (1997). Applying Design of Experiments to Software Testing. International Conference on Software Engineering. 205–215. 80 indexed citations
10.
Ehrlich, W.K., et al.. (1997). Applying design of experiments to software testing. 205–215. 111 indexed citations
11.
Ehrlich, W.K., et al.. (1993). Determining the cost of a stop-test decision (software reliability). IEEE Software. 10(2). 33–42. 69 indexed citations
12.
Ehrlich, W.K., et al.. (1990). Application of software reliability modelling to product quality and test process. International Conference on Software Engineering. 108–116. 22 indexed citations
13.
Ehrlich, W.K., et al.. (1990). Applying reliability measurement: a case study. IEEE Software. 7(2). 56–64. 21 indexed citations
14.
Ehrlich, W.K., et al.. (1987). Modeling software failures and reliability growth during system testing. International Conference on Software Engineering. 72–82. 15 indexed citations

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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