Steven Burrows
Impact in
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- Online Learning and Analytics
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Authorship Attribution and Profiling
- Intelligent Tutoring Systems and Adaptive Learning
Papers in
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- Mobile Crowdsensing and Crowdsourcing 3
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- Software Engineering Research 3
- Educational Technology and Assessment 2
- Information Retrieval and Search Behavior 1
- Co-authors
- Benno Stein (7 shared papers)Iryna Gurevych (1 shared paper)Andrew H. Turpin (3 shared papers)Alexandra L. Uitdenbogerd (3 shared papers)Tim Gollub (3 shared papers)Martin Potthast (1 shared paper)S. M. M. Tahaghoghi (1 shared paper)Justin Zobel (1 shared paper)
In The Last Decade
Steven Burrows
14 papers receiving 646 citations
Steven Burrows's Hit Papers
Peers
Comparison fields: 5 of 67
- Computer Science Applications 105
- Artificial Intelligence 516
- Information Systems 287
- Health Informatics 13
- Signal Processing 95
Countries citing papers authored by Steven Burrows
This map shows the geographic impact of Steven Burrows'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 Steven Burrows with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Burrows more than expected).
Fields of papers citing papers by Steven Burrows
This network shows the impact of papers produced by Steven Burrows. 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 Steven Burrows. The network helps show where Steven Burrows may publish in the future.
Co-authors
The 10 scholars most cited alongside Steven Burrows, 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 | The Eras and Trends of Automatic Short Answer Grading Hit paper breakdown → | 2014 | 326 |
| 2 | 2013 | 70 | |
| 3 | 2006 | 70 | |
| 4 | 2012 | 58 | |
| 5 | 2012 | 50 | |
| 6 | 2009 | 42 | |
| 7 | 2012 | 28 | |
| 8 | 2011 | 21 | |
| 9 | Simulation data mining for supporting bridge design | 2011 | 11 |
| 10 | 2009 | 10 | |
| 11 | 2009 | 9 | |
| 12 | 2013 | 7 | |
| 13 | Searching the MEDLARS file on NLM and BRS a comparative study. | 1979 | 6 |
| 14 | First Experiences with TIRA for Reproducible Evaluation in Information Retrieval. | 2012 | 5 |
About Steven Burrows
Steven Burrows is a scholar working on Computer Science Applications, Information Systems, Artificial Intelligence, Safety Research and Media Technology, having authored 14 papers that have together received 713 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Software Engineering Research (3 papers), Authorship Attribution and Profiling (3 papers), Mobile Crowdsensing and Crowdsourcing (3 papers), Academic integrity and plagiarism (3 papers), Student Assessment and Feedback (2 papers), Educational Technology and Assessment (2 papers) and Information Retrieval and Search Behavior (1 paper). The work is most often cited by research in Computer Science Applications (105 citations), Artificial Intelligence (516 citations), Information Systems (287 citations), Health Informatics (13 citations) and Signal Processing (95 citations). Steven Burrows has collaborated with scholars based in Germany and Australia. Frequent co-authors include Benno Stein, Iryna Gurevych, Andrew H. Turpin, Alexandra L. Uitdenbogerd, Tim Gollub, Martin Potthast, S. M. M. Tahaghoghi, Justin Zobel, Mark R. Shortis and Michael Völske. Their work appears in journals such as Software Practice and Experience, International Journal of Artificial Intelligence in Education, Australasian Journal of Educational Technology, ACM Transactions on Intelligent Systems and Technology and Lecture notes in computer science.
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.