Jon Sticklen
Impact in
- Architecture top 2%
- Software top 10%
- Model-Driven Software Engineering Techniques
Papers in
-
- AI-based Problem Solving and Planning 26
- Semantic Web and Ontologies 13
-
- Experimental Learning in Engineering 18
- Engineering Education and Curriculum Development 11
- Co-authors
- Anil K. Jain (1 shared paper)Bharath Chandrasekaran (3 shared papers)Jack W. Smith (3 shared papers)B. Chandrasekaran (2 shared papers)Mark Urban‐Lurain (23 shared papers)William F. Punch (4 shared papers)Haibin Cheng (1 shared paper)Pang‐Ning Tan (1 shared paper)
- Journals
- Applied Artificial Intelligence (4 papers)Artificial intelligence for engineering design analysis and manufacturing (2 papers)Mathematical and Computer Modelling (2 papers)SAE technical papers on CD-ROM/SAE technical paper series (2 papers)IEEE Intelligent Systems (1 paper)
- Partner nations
- United StatesEgyptTürkiye
In The Last Decade
Jon Sticklen
89 papers receiving 568 citations
Peers
Comparison fields: 5 of 89
- Architecture 32
- Software 61
- Media Technology 110
- Artificial Intelligence 315
- Computer Science Applications 42
Countries citing papers authored by Jon Sticklen
This map shows the geographic impact of Jon Sticklen'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 Jon Sticklen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon Sticklen more than expected).
Fields of papers citing papers by Jon Sticklen
This network shows the impact of papers produced by Jon Sticklen. 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 Jon Sticklen. The network helps show where Jon Sticklen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jon Sticklen, 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 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 94 | |
| 2 | 1989 | 41 | |
| 3 | 2007 | 41 | |
| 4 | 1989 | 36 | |
| 5 | Mdx2: an integrated medical diagnostic system | 1987 | 32 |
| 6 | 2009 | 23 | |
| 7 | 1994 | 21 | |
| 8 | 1989 | 20 | |
| 9 | Control issues in classificatory diagnosis | 1985 | 20 |
| 10 | 1991 | 20 | |
| 11 | 1993 | 18 | |
| 12 | 1989 | 16 | |
| 13 | 1998 | 13 | |
| 14 | Application of Object-Centered Scaffolding to Introductory MatLab | 2004 | 12 |
| 15 | 1991 | 12 | |
| 16 | 1994 | 11 | |
| 17 | 2002 | 11 | |
| 18 | 1992 | 10 | |
| 19 | 1992 | 10 | |
| 20 | 1994 | 10 |
About Jon Sticklen
Jon Sticklen is a scholar working on Artificial Intelligence, Media Technology, Industrial and Manufacturing Engineering, Information Systems and Education, having authored 100 papers that have together received 642 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (26 papers), Experimental Learning in Engineering (18 papers), Manufacturing Process and Optimization (18 papers), Semantic Web and Ontologies (13 papers), Engineering Education and Pedagogy (12 papers), Teaching and Learning Programming (12 papers), Engineering Education and Curriculum Development (11 papers) and Model-Driven Software Engineering Techniques (9 papers). The work is most often cited by research in Architecture (32 citations), Software (61 citations), Media Technology (110 citations), Artificial Intelligence (315 citations) and Computer Science Applications (42 citations). Jon Sticklen has collaborated with scholars based in United States, Egypt and Türkiye. Frequent co-authors include Anil K. Jain, Bharath Chandrasekaran, Jack W. Smith, B. Chandrasekaran, Mark Urban‐Lurain, William F. Punch, Haibin Cheng, Pang‐Ning Tan, Ahmed Kamel and John R. Josephson. Their work appears in journals such as Applied Artificial Intelligence, Artificial intelligence for engineering design analysis and manufacturing, Mathematical and Computer Modelling, SAE technical papers on CD-ROM/SAE technical paper series and IEEE Intelligent Systems.
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.