Stan Kurkovsky
Impact in
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- Teaching and Learning Programming
- Online Learning and Analytics
- Information Systems top 2%
- Mobile Learning in Education
- Software Engineering Techniques and Practices
Papers in
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- Software Engineering Techniques and Practices 14
- Mobile Learning in Education 11
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- Teaching and Learning Programming 32
- Co-authors
- Ewa Syta (6 shared papers)Chad Williams (8 shared papers)Stephanie Ludi (3 shared papers)Christopher Whitehead (3 shared papers)Janet Carter (3 shared papers)João Paulo Barros (1 shared paper)Su White (3 shared papers)Chris Johnson (1 shared paper)
- Journals
- Applied Intelligence (1 paper)Computer Science Education (1 paper)Artificial Intelligence Review (1 paper)Personal and Ubiquitous Computing (1 paper)IEEE Technology and Society Magazine (1 paper)
- Partner nations
- United StatesUnited KingdomEgypt
In The Last Decade
Stan Kurkovsky
82 papers receiving 728 citations
Peers
Comparison fields: 5 of 76
- Computer Science Applications 282
- Information Systems 332
- Developmental and Educational Psychology 153
- Human-Computer Interaction 48
- Computer Networks and Communications 195
Countries citing papers authored by Stan Kurkovsky
This map shows the geographic impact of Stan Kurkovsky'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 Stan Kurkovsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stan Kurkovsky more than expected).
Fields of papers citing papers by Stan Kurkovsky
This network shows the impact of papers produced by Stan Kurkovsky. 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 Stan Kurkovsky. The network helps show where Stan Kurkovsky may publish in the future.
Co-authors
The 25 scholars most cited alongside Stan Kurkovsky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 69 | |
| 2 | 2009 | 62 | |
| 3 | 2015 | 40 | |
| 4 | 2010 | 34 | |
| 5 | 2013 | 31 | |
| 6 | 2012 | 31 | |
| 7 | 2017 | 29 | |
| 8 | 2012 | 25 | |
| 9 | 2009 | 24 | |
| 10 | 2004 | 23 | |
| 11 | 2018 | 22 | |
| 12 | Wireless Grid Enables Ubiquitous Computing. | 2003 | 20 |
| 13 | 2019 | 19 | |
| 14 | 2005 | 18 | |
| 15 | 2011 | 17 | |
| 16 | 2010 | 16 | |
| 17 | 2004 | 14 | |
| 18 | 2010 | 14 | |
| 19 | 2011 | 13 | |
| 20 | 2007 | 13 |
About Stan Kurkovsky
Stan Kurkovsky is a scholar working on Information Systems, Computer Science Applications, Computer Networks and Communications, Developmental and Educational Psychology and Education, having authored 92 papers that have together received 804 indexed citations. Recurring topics across this work include Teaching and Learning Programming (32 papers), Software Engineering Techniques and Practices (14 papers), Educational Games and Gamification (11 papers), Mobile Learning in Education (11 papers), Experimental Learning in Engineering (10 papers), Context-Aware Activity Recognition Systems (9 papers), IoT and Edge/Fog Computing (6 papers) and Innovative Teaching and Learning Methods (6 papers). The work is most often cited by research in Computer Science Applications (282 citations), Information Systems (332 citations), Developmental and Educational Psychology (153 citations), Human-Computer Interaction (48 citations) and Computer Networks and Communications (195 citations). Stan Kurkovsky has collaborated with scholars based in United States, United Kingdom and Egypt. Frequent co-authors include Ewa Syta, Chad Williams, Stephanie Ludi, Christopher Whitehead, Janet Carter, João Paulo Barros, Su White, Chris Johnson, Majd Sakr and Derek Foster. Their work appears in journals such as Applied Intelligence, Computer Science Education, Artificial Intelligence Review, Personal and Ubiquitous Computing and IEEE Technology and Society Magazine.
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.