A. J. Riel

844 citations
8 papers · 538 · h-index 6

Impact in

  • Software top 2%
    • Software Reliability and Analysis Research
    • Software Testing and Debugging Techniques
    • Model-Driven Software Engineering Techniques
    • Software Engineering Research
    • Software Engineering Techniques and Practices

Papers in

Journals
ACM SIGPLAN Notices (2 papers)International Conference on Software Engineering (1 paper)
Partner nations
United States

In The Last Decade

A. J. Riel

8 papers receiving 438 citations

Peers

A. J. Riel
Comparison fields: 5 of 46
  • Software 255
  • Information Systems 443
  • Computer Science Applications 51
  • Artificial Intelligence 289
  • Computer Networks and Communications 105
Replace R. Fiutem with:
R. Fiutem Italy
Maria João Varanda Pereira Portugal
Ned Chapin United States
Arndt von Staa Brazil
Luqi United States
Marc Rochkind United States
Cláudio Sant’Anna Brazil
Markus Pizka Germany
Matthias Riebisch Germany
Wilf R. LaLonde Canada
A. J. Riel relative to R. Fiutem Italy R. Fiutem's profile →
Citations per field
00.5×
R. Fiutem · 1×
Citations per year

Countries citing papers authored by A. J. Riel

Since Specialization
Citations

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

Fields of papers citing papers by A. J. Riel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. J. Riel. 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 A. J. Riel. The network helps show where A. J. Riel may publish in the future.

Co-authors

The 3 scholars most cited alongside A. J. Riel, 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 A. J. Riel Line = papers co-authored together A. J. Riel links everyone, so they are left out of the graph.

All Works

About A. J. Riel

A. J. Riel is a scholar working on Information Systems, Artificial Intelligence, Computer Science Applications, Communication and Political Science and International Relations, having authored 8 papers that have together received 538 indexed citations. Recurring topics across this work include Software Engineering Research (7 papers), Logic, programming, and type systems (5 papers), Advanced Software Engineering Methodologies (3 papers), Software Engineering Techniques and Practices (2 papers), Teaching and Learning Programming (2 papers), E-Government and Public Services (1 paper), Social Media and Politics (1 paper) and Parallel Computing and Optimization Techniques (1 paper). The work is most often cited by research in Software (255 citations), Information Systems (443 citations), Computer Science Applications (51 citations), Artificial Intelligence (289 citations) and Computer Networks and Communications (105 citations). A. J. Riel has collaborated with scholars based in United States. Frequent co-authors include Karl Lieberherr, Ian M. Holland and Denisa Popescu. Their work appears in journals such as ACM SIGPLAN Notices and International Conference on Software Engineering.

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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