Edward K. Smith

2.1k citations
50 papers · 1.5k indexed · 2 hit papers · h-index 20

Impact in

  • Software top 1%
    • Software Testing and Debugging Techniques
    • Software Reliability and Analysis Research

Papers in

Edward K. Smith

48 papers receiving 1.4k citations

Hit Papers

The ManyBugs and IntroClass Benchmarks for Automated Repair of C Programs 2015 · 217 citations
217201520262018202250100150200

Peers

Edward K. Smith
Comparison fields: 5 of 133
  • Software 441
  • Family Practice 72
  • Nephrology 193
  • Information Systems 534
  • Computer Science Applications 88
Replace Dario A. Giuse with:
Dario A. Giuse United States
Ronald Cornet Netherlands
William Marsh United Kingdom
Eric Schmidt United States
E. Jönsson Sweden
Mor Peleg Israel
Tina Jones Australia
Abhi Shelat United States
Uffe Kock Wiil Denmark
Lawrence M. Fagan United States
Edward K. Smith relative to Dario A. Giuse United States Dario A. Giuse's profile →
Citations per field
00.5×10×15×21.4×
Dario A. Giuse · 1×
Citations per year

Countries citing papers authored by Edward K. Smith

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown
#Work
1 201819
2 201617
3 20156
4
Is the cure worse than the disease? overfitting in automated program repair
Hit paper breakdown →
2015212
5 199555
6 19925
7 19907
8 198919
9 19897
10 198819
11
Measurement of quality of life in end-stage renal disease: the time trade-off approach.
1987231
12 198747
13 198448
14 19781
15 19763
16 19732
17 197221
18 196932
19 196926
20 196410

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.

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