Daniel Toll
Impact in
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- Online Learning and Analytics
- Teaching and Learning Programming
- Software top 5%
- Software Testing and Debugging Techniques
Papers in
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- Software Engineering Research 8
- Software 7
- Software Testing and Debugging Techniques 5
- Software Reliability and Analysis Research 3
- Co-authors
- Jürgen Börstler (3 shared papers)Ida Lindgren (5 shared papers)Ari Korhonen (1 shared paper)Matthew Butler (1 shared paper)Kelly Rivers (1 shared paper)Judy Sheard (1 shared paper)Essi Isohanni (1 shared paper)Andrew Petersen (1 shared paper)
- Journals
- Empirical Software Engineering (1 paper)JeDEM - eJournal of eDemocracy and Open Government (2 papers)SHILAP Revista de lepidopterología (1 paper)KTH Publication Database DiVA (KTH Royal Institute of Technology) (3 papers)Chalmers Research (Chalmers University of Technology) (2 papers)
- Partner nations
- SwedenFinlandUnited States
In The Last Decade
Daniel Toll
19 papers receiving 332 citations
Peers
Comparison fields: 5 of 45
- Computer Science Applications 226
- Software 56
- Information Systems 114
- Developmental and Educational Psychology 53
- Management Information Systems 24
Countries citing papers authored by Daniel Toll
This map shows the geographic impact of Daniel Toll'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 Daniel Toll with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Toll more than expected).
Fields of papers citing papers by Daniel Toll
This network shows the impact of papers produced by Daniel Toll. 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 Daniel Toll. The network helps show where Daniel Toll may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Toll, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 202 | |
| 2 | 2018 | 37 | |
| 3 | 2020 | 25 | |
| 4 | 2021 | 17 | |
| 5 | 2023 | 10 | |
| 6 | 2015 | 9 | |
| 7 | 2022 | 7 | |
| 8 | 2014 | 5 | |
| 9 | 2022 | 5 | |
| 10 | 2020 | 4 | |
| 11 | 2013 | 4 | |
| 12 | 2022 | 3 | |
| 13 | 2017 | 3 | |
| 14 | 2024 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2022 | 2 | |
| 17 | 2016 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2012 | 1 |
About Daniel Toll
Daniel Toll is a scholar working on Information Systems, Software, Artificial Intelligence, Political Science and International Relations and Computer Networks and Communications, having authored 19 papers that have together received 341 indexed citations. Recurring topics across this work include Software Engineering Research (8 papers), Software Testing and Debugging Techniques (5 papers), Advanced Software Engineering Methodologies (5 papers), E-Government and Public Services (4 papers), Software Reliability and Analysis Research (3 papers), Robotic Process Automation Applications (2 papers), Smart Cities and Technologies (2 papers) and Information Systems Theories and Implementation (2 papers). The work is most often cited by research in Computer Science Applications (226 citations), Software (56 citations), Information Systems (114 citations), Developmental and Educational Psychology (53 citations) and Management Information Systems (24 citations). Daniel Toll has collaborated with scholars based in Sweden, Finland and United States. Frequent co-authors include Jürgen Börstler, Ida Lindgren, Ari Korhonen, Matthew Butler, Kelly Rivers, Judy Sheard, Essi Isohanni, Andrew Petersen, Ulf Melin and Jaime Spacco. Their work appears in journals such as Empirical Software Engineering, JeDEM - eJournal of eDemocracy and Open Government, SHILAP Revista de lepidopterología, KTH Publication Database DiVA (KTH Royal Institute of Technology) and Chalmers Research (Chalmers University of 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.