Michael Goldweber

1.3k citations
86 papers · 842 indexed · 1 hit paper · h-index 16
Topics
Teaching and Learning Programming (46 papers)Online Learning and Analytics (15 papers)Experimental Learning in Engineering (11 papers)
Journals
ACM InroadsArchivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna)Digital Commons - East Tennessee State University (East Tennessee State University)

In The Last Decade

Michael Goldweber

74 papers receiving 791 citations

Hit Papers

Computer Science Curricula 202320242026202520241020304050

Peers

Michael Goldweber
Comparison fields: 5 of 67
  • Computer Science Applications 536
  • Information Systems 247
  • Developmental and Educational Psychology 188
  • Education 140
  • Media Technology 134
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Citations per field
00.5×2.9×
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Citations per year

Countries citing papers authored by Michael Goldweber

Since Specialization
Citations

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

Fields of papers citing papers by Michael Goldweber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Goldweber

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Goldweber. A scholar is included among the top collaborators of Michael Goldweber 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 Michael Goldweber. Michael Goldweber 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 0
3 0
4 0
5 1
6 1
7 1
8 1
9
170-03-04 Introduction to Computer Science
1
10 3
11 20
12 0
13 8
14 3
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A comparison of different approaches to the introductory programming course
2
16 7
17 12
18 4
19 76
20 1

About Michael Goldweber

Michael Goldweber is a scholar working on Computer Science Applications, Hardware and Architecture and Media Technology, having authored 86 papers that have together received 842 indexed citations. Recurring topics across this work include Teaching and Learning Programming (46 papers), Online Learning and Analytics (15 papers) and Experimental Learning in Engineering (11 papers). The work is most often cited by research in Computer Science Applications (536 citations), Media Technology (134 citations) and Developmental and Educational Psychology (188 citations). Michael Goldweber has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Renzo Davoli, Tony Clear, Paul M. Leidig, John Barr, Elizabeth Patitsas, Myles McNally, David J. Barnes, Pamela B. Lawhead, Barry Fagin and Frank Klassner. Their work appears in journals such as ACM Inroads, Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) and Digital Commons - East Tennessee State University (East Tennessee State University).

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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