Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Systematic Mapping Studies in Software Engineering
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).
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 of co-authors of Robert Feldt
This figure shows the co-authorship network connecting the top 25 collaborators of Robert Feldt.
A scholar is included among the top collaborators of Robert Feldt 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 Robert Feldt. Robert Feldt is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Graziotin, Daniel, Per Lenberg, Robert Feldt, & Stefan Wagner. (2020). Behavioral Software Engineering: Methodological Introduction to Psychometrics.. arXiv (Cornell University).1 indexed citations
9.
Torkar, Richard, Robert Feldt, Francisco Gomes de Oliveira Neto, & Lucas Gren. (2017). Statistical and practical significance of empirical software engineering research: A maturity model. arXiv (Cornell University).1 indexed citations
Gren, Lucas, Richard Torkar, & Robert Feldt. (2017). Group development and group maturity when building agile teams. arXiv (Cornell University). 124. 104–119.23 indexed citations
Shahrokni, Ali & Robert Feldt. (2011). RobusTest: Towards a Framework for Automated Testing of Robustness in Software. Chalmers Research (Chalmers University of Technology).2 indexed citations
14.
Axelsson, Stefan, et al.. (2009). Detecting Defects with an Interactive Code Review Tool Based on Visualisation and Machine Learning. KTH Publication Database DiVA (KTH Royal Institute of Technology). 412–417.4 indexed citations
15.
Shahrokni, Ali, et al.. (2009). Robustness Verification Challenges in Automotive Telematics Software. Chalmers Publication Library (Chalmers University of Technology). 460–465.1 indexed citations
16.
Torkar, Richard, et al.. (2008). Predicting Fault Inflow in Iterative Software Development Processes : An Industrial Evaluation. CentAUR (University of Reading).7 indexed citations
Feldt, Robert. (1998). Using genetic programming to systematically force software diversity. Chalmers Publication Library (Chalmers University of Technology).1 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.