Clif Kussmaul

1.1k citations
65 papers · 700 indexed · h-index 14
Topics
Experimental Learning in Engineering (19 papers)Teaching and Learning Programming (16 papers)Innovative Teaching and Learning Methods (16 papers)

In The Last Decade

Clif Kussmaul

58 papers receiving 666 citations

Peers

Clif Kussmaul
Comparison fields: 5 of 69
  • Cognitive Neuroscience 292
  • Computer Science Applications 197
  • Developmental and Educational Psychology 164
  • Education 157
  • Information Systems 115
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Citations per field
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Countries citing papers authored by Clif Kussmaul

Since Specialization
Citations

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

Fields of papers citing papers by Clif Kussmaul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clif Kussmaul

This figure shows the co-authorship network connecting the top 25 collaborators of Clif Kussmaul. A scholar is included among the top collaborators of Clif Kussmaul based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Clif Kussmaul. Clif Kussmaul is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 4
3 1
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5 1
6
Guiding students to understand CS concepts and develop process skills with POGIL: pre-conference workshop
2
7 1
8 2
9
Process-oriented guided inquiry learning (POGIL) in computer science: tutorial presentation
2
10
Using wikis to foster team communication, cohesion, & collaboration
4
11
Using agile development methods to improve student writing
4
12 6
13
Software product proposals in a computer science course for non-majors
4
14
Multi-phase homework assignments in CS I and CS II
2
15
A team project course emphasizing software entrepreneurship
8
16 18
17 163
18 41
19 23
20
Applications of the Wavelet Transform at the Level of Pitch Contour.
0

About Clif Kussmaul

Clif Kussmaul is a scholar working on Computer Science Applications, Media Technology and Communication, having authored 65 papers that have together received 700 indexed citations. Recurring topics across this work include Experimental Learning in Engineering (19 papers), Teaching and Learning Programming (16 papers) and Innovative Teaching and Learning Methods (16 papers). The work is most often cited by research in Computer Science Applications (197 citations), Cognitive Neuroscience (292 citations) and Developmental and Educational Psychology (164 citations). Clif Kussmaul has collaborated with scholars based in United States, Germany and Norway. Frequent co-authors include George R. Mangun, Evan Fletcher, Helen H. Hu, Hans-Jochen Heinze, Joseph B. Hopfinger, Chris Mayfield, Aman Yadav, Sönke Johannes, Thomas F. Münte and Daniel D. McCracken. Their work appears in journals such as Communications of the ACM, Neuropsychologia and Human Brain Mapping.

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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