Steven A. Wolfman

1.3k citations
46 papers · 885 indexed · h-index 14

Impact in

Papers in

Journals
The Knowledge Engineering Review (2 papers)Computers & Graphics (1 paper)Machine Learning (1 paper)Journal of computing sciences in colleges (1 paper)International Joint Conference on Artificial Intelligence (1 paper)

In The Last Decade

Steven A. Wolfman

43 papers receiving 793 citations

Peers

Steven A. Wolfman
Comparison fields: 5 of 63
  • Computer Science Applications 220
  • Software 70
  • Media Technology 142
  • Human-Computer Interaction 72
  • Information Systems 290
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Citations per field
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Citations per year

Countries citing papers authored by Steven A. Wolfman

Since Specialization
Citations

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

Fields of papers citing papers by Steven A. Wolfman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven A. Wolfman. 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 A. Wolfman. The network helps show where Steven A. Wolfman may publish in the future.

Co-authors

The 25 scholars most cited alongside Steven A. Wolfman, 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 Steven A. Wolfman Line = papers co-authored together Steven A. Wolfman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20221
3 20182
4 201822
5 20059
6 20057
7
Understanding diagrammatic ink in lecture
20041
8 200458
9 200467
10 200485
11 2004128
12 2003121
13 200312
14 20034
15 20037
16 200134
17
Programming by demonstration using version space algebra DRAFT to appear in Machine Learning
20012
18 200120
19
Combining Linear Programming and Satis ability Solving for Resource Planning y
200016
20
The LPSAT Engine & Its Application to Resource Planning
199988

About Steven A. Wolfman

Steven A. Wolfman is a scholar working on Computer Science Applications, Information Systems, Media Technology, Developmental and Educational Psychology and Human-Computer Interaction, having authored 46 papers that have together received 885 indexed citations. Recurring topics across this work include Teaching and Learning Programming (14 papers), Online and Blended Learning (6 papers), Innovative Teaching and Learning Methods (6 papers), Multimedia Communication and Technology (6 papers), Online Learning and Analytics (5 papers), Mobile Learning in Education (5 papers), Constraint Satisfaction and Optimization (5 papers) and Experimental Learning in Engineering (5 papers). The work is most often cited by research in Computer Science Applications (220 citations), Software (70 citations), Media Technology (142 citations), Human-Computer Interaction (72 citations) and Information Systems (290 citations). Steven A. Wolfman has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Daniel S. Weld, Richard Anderson, Ruth Anderson, Beth Simon, Ken Yasuhara, Tammy VanDeGrift, Daniel S. Weld, Tessa Lau, Pedro Domingos and Daniel D. Garcia. Their work appears in journals such as The Knowledge Engineering Review, Computers & Graphics, Machine Learning, Journal of computing sciences in colleges and International Joint Conference on Artificial Intelligence.

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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