Dan Kaczynski

595 citations
19 papers · 409 · h-index 12

Impact in

  • Education top 5%
    • Online and Blended Learning
    • Evaluation of Teaching Practices
    • Qualitative Research Methods and Applications
    • Innovative Teaching Methods
  • Accounting top 10%
    • Auditing, Earnings Management, Governance

Papers in

Dan Kaczynski

18 papers receiving 357 citations

Peers

Dan Kaczynski
Comparison fields: 5 of 94
  • Education 208
  • Accounting 60
  • Computer Science Applications 30
  • Finance 41
  • Developmental and Educational Psychology 33
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Citations per field
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Citations per year

Countries citing papers authored by Dan Kaczynski

Since Specialization
Citations

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

Fields of papers citing papers by Dan Kaczynski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan Kaczynski. 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 Dan Kaczynski. The network helps show where Dan Kaczynski may publish in the future.

Co-authors

The 9 scholars most cited alongside Dan Kaczynski, 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 Dan Kaczynski Line = papers co-authored together Dan Kaczynski links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201389
2
Teaching, Learning and Research in Higher Education: A Critical Approach
200956
3
Evaluation of blended learning: analysis of qualitative data
201252
4 200834
5 201526
6 200924
7 199723
8 201519
9
Curriculum Development for Teaching Qualitative Data Analysis Online.
200418
10 201517
11 202414
12 200612
13
University Students in USA and Australia: Anticipation and Reflection on the Transition to Work
20078
14 20086
15 20215
16 20163
17
Condoning Drug Education Programs at Colleges and Universities.
19932
18
Designing an Inservice Training Model for Professionals Working with Youth At Risk.
19971
19 20240

About Dan Kaczynski

Dan Kaczynski is a scholar working on Education, Management Science and Operations Research, Statistics and Probability, General Health Professions and Information Systems and Management, having authored 19 papers that have together received 409 indexed citations. Recurring topics across this work include Evaluation of Teaching Practices (3 papers), Online and Blended Learning (2 papers), Educational Assessment and Improvement (2 papers), Evaluation and Performance Assessment (2 papers), Statistics Education and Methodologies (2 papers), Qualitative Research Methods and Applications (2 papers), Business Strategies and Management Research (2 papers) and Health Policy Implementation Science (1 paper). The work is most often cited by research in Education (208 citations), Accounting (60 citations), Computer Science Applications (30 citations), Finance (41 citations) and Developmental and Educational Psychology (33 citations). Dan Kaczynski has collaborated with scholars based in United States, Australia and South Africa. Frequent co-authors include Tom Smith, Leigh Wood, Ansie Harding, Mark Tennant, Melissa Kelly, Susan Stewart, William Evans, Simon N. Leonard and Eli Lieber. Their work appears in journals such as Australian Journal of Management, Preventing School Failure Alternative Education for Children and Youth, Active Learning in Higher Education, American Journal of Evaluation and Forum qualitative Sozialforschung.

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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