Edward K. Smith
Impact in
- Software top 1%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Nephrology top 2%
- Dialysis and Renal Disease Management
Papers in
-
- Software Engineering Research 14
- Software Engineering Techniques and Practices 4
-
- Dialysis and Renal Disease Management 6
- Co-authors
- Claire Le Goues (2 shared papers)Yuriy Brun (2 shared papers)Earl T. Barr (1 shared paper)D Ludwin (6 shared papers)D. Wayne Taylor (2 shared papers)David Churchill (2 shared papers)Atsuya Shimizu (1 shared paper)Michael Hicks (7 shared papers)
- Journals
- IEEE Transactions on Software Engineering (3 papers)Medical Education (2 papers)Urology (2 papers)Canadian Journal of Physiology and Pharmacology (2 papers)The Journal of Urology (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Edward K. Smith
49 papers receiving 1.5k citations
Edward K. Smith's Hit Papers
Peers
Comparison fields: 5 of 136
- Software 472
- Nephrology 215
- Family Practice 47
- Information Systems 579
- Computer Science Applications 93
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-authors
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
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Measurement of quality of life in end-stage renal disease: the time trade-off approach. | 1987 | 243 |
| 2 | Is the cure worse than the disease? overfitting in automated program repair Hit paper breakdown → | 2015 | 228 |
| 3 | The ManyBugs and IntroClass Benchmarks for Automated Repair of C Programs Hit paper breakdown → | 2015 | 227 |
| 4 | 2013 | 96 | |
| 5 | 1970 | 74 | |
| 6 | 2019 | 62 | |
| 7 | 1984 | 59 | |
| 8 | 1995 | 58 | |
| 9 | 2012 | 58 | |
| 10 | 1987 | 49 | |
| 11 | 1969 | 33 | |
| 12 | 2011 | 32 | |
| 13 | 1986 | 31 | |
| 14 | 1980 | 30 | |
| 15 | Ethylene oxide allergy in a dialysis center: prevalence in hemodialysis and peritoneal dialysis populations. | 1984 | 30 |
| 16 | 1970 | 30 | |
| 17 | 1969 | 29 | |
| 18 | 2011 | 28 | |
| 19 | 1988 | 22 | |
| 20 | 1989 | 21 |
About Edward K. Smith
Edward K. Smith is a scholar working on Information Systems, Nephrology, Public Health, Environmental and Occupational Health, Computer Networks and Communications and Artificial Intelligence, having authored 51 papers that have together received 1.7k indexed citations. Recurring topics across this work include Software Engineering Research (14 papers), Advanced Software Engineering Methodologies (6 papers), Dialysis and Renal Disease Management (6 papers), Software System Performance and Reliability (6 papers), Erythrocyte Function and Pathophysiology (4 papers), Open Source Software Innovations (4 papers), Ion Transport and Channel Regulation (4 papers) and Software Engineering Techniques and Practices (4 papers). The work is most often cited by research in Software (472 citations), Nephrology (215 citations), Family Practice (47 citations), Information Systems (579 citations) and Computer Science Applications (93 citations). Edward K. Smith has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Claire Le Goues, Yuriy Brun, Earl T. Barr, D Ludwin, D. Wayne Taylor, David Churchill, Atsuya Shimizu, Michael Hicks, Jeffrey S. Foster and Westley Weimer. Their work appears in journals such as IEEE Transactions on Software Engineering, Medical Education, Urology, Canadian Journal of Physiology and Pharmacology and The Journal of Urology.
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.