Edward K. Smith
Impact in
- Software top 1%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Family Practice top 5%
Papers in
-
- Dialysis and Renal Disease Management 6
- Co-authors
- Yuriy BrunClaire Le GouesEarl T. BarrD LudwinD. Wayne TaylorDavid ChurchillAtsuya ShimizuStephanie Forrest
- Journals
- IEEE Transactions on Software Engineering (3 papers)Medical Education (2 papers)Canadian Journal of Physiology and Pharmacology (2 papers)Urology (2 papers)Artificial Organs (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Edward K. Smith
48 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Software 441
- Family Practice 72
- Nephrology 193
- Information Systems 534
- Computer Science Applications 88
Countries citing papers authored by Edward K. Smith
This map shows the geographic impact of Edward K. Smith'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 Edward K. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward K. Smith more than expected).
Fields of papers citing papers by Edward K. Smith
This network shows the impact of papers produced by Edward K. Smith. 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 Edward K. Smith. The network helps show where Edward K. Smith may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Edward K. Smith, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 19 | |
| 2 | 2016 | 17 | |
| 3 | 2015 | 6 | |
| 4 | Is the cure worse than the disease? overfitting in automated program repair Hit paper breakdown → | 2015 | 212 |
| 5 | 1995 | 55 | |
| 6 | 1992 | 5 | |
| 7 | 1990 | 7 | |
| 8 | 1989 | 19 | |
| 9 | 1989 | 7 | |
| 10 | 1988 | 19 | |
| 11 | Measurement of quality of life in end-stage renal disease: the time trade-off approach. | 1987 | 231 |
| 12 | 1987 | 47 | |
| 13 | 1984 | 48 | |
| 14 | 1978 | 1 | |
| 15 | 1976 | 3 | |
| 16 | 1973 | 2 | |
| 17 | 1972 | 21 | |
| 18 | 1969 | 32 | |
| 19 | 1969 | 26 | |
| 20 | 1964 | 10 |
About Edward K. Smith
Edward K. Smith is a scholar working on Family Practice, Nephrology, Computer Science Applications, Transplantation and Information Systems, having authored 50 papers that have together received 1.5k indexed citations. Recurring topics across this work include Software Engineering Research (13 papers), Dialysis and Renal Disease Management (6 papers), Advanced Software Engineering Methodologies (5 papers), Software System Performance and Reliability (5 papers), Erythrocyte Function and Pathophysiology (4 papers), Ion Transport and Channel Regulation (4 papers), Open Source Software Innovations (4 papers) and Software Engineering Techniques and Practices (4 papers). The work is most often cited by research in Software (441 citations), Family Practice (72 citations), Nephrology (193 citations), Information Systems (534 citations) and Computer Science Applications (88 citations). Edward K. Smith has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Yuriy Brun, Claire Le Goues, Earl T. Barr, D Ludwin, D. Wayne Taylor, David Churchill, Atsuya Shimizu, Stephanie Forrest, Prémkumar Dévanbu and Westley Weimer. Their work appears in journals such as IEEE Transactions on Software Engineering, Medical Education, Canadian Journal of Physiology and Pharmacology, Urology and Artificial Organs.
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.