S.D. Connell
Impact in
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- Handwritten Text Recognition Techniques
- Image Processing and 3D Reconstruction
- Image Retrieval and Classification Techniques
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems
Papers in
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- Handwritten Text Recognition Techniques 9
- Image Retrieval and Classification Techniques 4
- Advanced Image and Video Retrieval Techniques 2
- Image Processing and 3D Reconstruction 1
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- Natural Language Processing Techniques 4
- Algorithms and Data Compression 2
- Co-authors
- Anil K. Jain (6 shared papers)R.M.K. Sinha (1 shared paper)Neelu Jain (1 shared paper)András Kornai (2 shared papers)Khalid Mohiuddin (1 shared paper)Christopher M. Coleman (1 shared paper)James Walter (1 shared paper)
- Journals
- Pattern Recognition (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)
- Partner nations
- United States
In The Last Decade
S.D. Connell
11 papers receiving 561 citations
Peers
Comparison fields: 5 of 52
- Computer Vision and Pattern Recognition 535
- Human-Computer Interaction 124
- Media Technology 152
- Signal Processing 117
- Artificial Intelligence 213
Countries citing papers authored by S.D. Connell
This map shows the geographic impact of S.D. Connell'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 S.D. Connell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S.D. Connell more than expected).
Fields of papers citing papers by S.D. Connell
This network shows the impact of papers produced by S.D. Connell. 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 S.D. Connell. The network helps show where S.D. Connell may publish in the future.
Co-authors
The 7 scholars most cited alongside S.D. Connell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 342 | |
| 2 | 2001 | 85 | |
| 3 | 2002 | 65 | |
| 4 | 2002 | 55 | |
| 5 | 2002 | 26 | |
| 6 | Online handwriting recognition using multiple pattern class models | 2000 | 23 |
| 7 | 1999 | 19 | |
| 8 | 2002 | 6 | |
| 9 | On-line signature veri!cation | 2002 | 3 |
| 10 | 1996 | 2 | |
| 11 | 2012 | 1 |
About S.D. Connell
S.D. Connell is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Human-Computer Interaction, Information Systems and Atomic and Molecular Physics, and Optics, having authored 11 papers that have together received 627 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (9 papers), Natural Language Processing Techniques (4 papers), Image Retrieval and Classification Techniques (4 papers), Hand Gesture Recognition Systems (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Algorithms and Data Compression (2 papers), Image Processing and 3D Reconstruction (1 paper) and Synthetic Aperture Radar (SAR) Applications and Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (535 citations), Human-Computer Interaction (124 citations), Media Technology (152 citations), Signal Processing (117 citations) and Artificial Intelligence (213 citations). S.D. Connell has collaborated with scholars based in United States. Frequent co-authors include Anil K. Jain, R.M.K. Sinha, Neelu Jain, András Kornai, Khalid Mohiuddin, Christopher M. Coleman and James Walter. Their work appears in journals such as Pattern Recognition and IEEE Transactions on Pattern Analysis and Machine 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.