Robert Feldt

14.4k citations
247 papers · 8.9k indexed · 2 hit papers · h-index 46

Robert Feldt

230 papers receiving 8.4k citations

Hit Papers

A systematic review of search-based testing for non-funct...328200820262014202050010001.5k2.0k

Peers

Robert Feldt
Comparison fields: 5 of 186
  • Software 1.5k
  • Information Systems 3.5k
  • Computer Science Applications 786
  • Health Informatics 124
  • Epidemiology 2.4k
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Citations per field
00.5×10×15.0×
Daniel E. O’Leary · 1×
Citations per year

Countries citing papers authored by Robert Feldt

Since Specialization
Citations

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

Fields of papers citing papers by Robert Feldt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert Feldt. 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 Robert Feldt. The network helps show where Robert Feldt may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Robert Feldt, 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 Robert Feldt Line = papers co-authored together Robert Feldt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20255
2 20250
3 20240
4 202411
5 202412
6 20232
7 202318
8 20234
9 201810
10
Group development and group maturity when building agile teams
201723
11 20155
12
RobusTest: Towards a Framework for Automated Testing of Robustness in Software
20112
13 20117
14
Analyzing the cost of complying to the ECSS standards for software development
20101
15
Detecting Defects with an Interactive Code Review Tool Based on Visualisation and Machine Learning
20094
16
Predicting Fault Inflow in Iterative Software Development Processes : An Industrial Evaluation
20087
17
GP-Beagle: A Benchmarking Problem Repository for the Genetic Programming Community
20006
18
Using genetic programming to systematically force software diversity
19981
19
Atrioventricular canal defects
197664
20 19711

About Robert Feldt

Robert Feldt is a scholar working on Software, Health Informatics and Information Systems, having authored 247 papers that have together received 8.9k indexed citations. Recurring topics across this work include Software Engineering Research (101 papers), Software Engineering Techniques and Practices (63 papers), Software Testing and Debugging Techniques (60 papers), Congenital Heart Disease Studies (50 papers), Software Reliability and Analysis Research (50 papers), Software System Performance and Reliability (20 papers), Cardiac Arrhythmias and Treatments (19 papers) and Cardiac Structural Anomalies and Repair (15 papers). The work is most often cited by research in Software (1.5k citations), Information Systems (3.5k citations) and Computer Science Applications (786 citations). Robert Feldt has collaborated with scholars based in Sweden, United States and Switzerland. Frequent co-authors include Kai Petersen, Michael Mattsson, Richard Torkar, Gordon K. Danielson, Tony Gorschek, Francisco J. Puga, Wasif Afzal, David J. Driscoll, Hartzell V. Schaff and Kenneth P. Offord. Their work appears in journals such as Journal of Thoracic and Cardiovascular Surgery, The American Journal of Cardiology, Mayo Clinic Proceedings, Journal of Systems and Software and Information and Software Technology.

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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