Lawrence O’Gorman
- Computer Vision and Pattern Recognition top 0.5%
- Signal Processing top 0.5%
- Information Systems top 1%
- Artificial Intelligence top 5%
- Media Technology top 1%
- Co-authors
- Jack BrassilN.F. MaxemchukSteven H. LowJeffrey V. NickersonRangachar KasturiMichael SeulHal BerghelArthur C. Sanderson
- Topics
- Image and Object Detection Techniques (18 papers)Handwritten Text Recognition Techniques (18 papers)Advanced Steganography and Watermarking Techniques (9 papers)
- Journals
- ScienceIEEE Transactions on Pattern Analysis and Machine IntelligenceProceedings of the IEEE
- Partner nations
- United StatesBermudaUnited Kingdom
In The Last Decade
Lawrence O’Gorman
67 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 143
- Computer Vision and Pattern Recognition 2.0k
- Signal Processing 791
- Information Systems 724
- Artificial Intelligence 343
- Media Technology 319
Countries citing papers authored by Lawrence O’Gorman
This map shows the geographic impact of Lawrence O’Gorman'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 Lawrence O’Gorman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lawrence O’Gorman more than expected).
Fields of papers citing papers by Lawrence O’Gorman
This network shows the impact of papers produced by Lawrence O’Gorman. 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 Lawrence O’Gorman. The network helps show where Lawrence O’Gorman may publish in the future.
Co-authorship network of co-authors of Lawrence O’Gorman
This figure shows the co-authorship network connecting the top 25 collaborators of Lawrence O’Gorman. A scholar is included among the top collaborators of Lawrence O’Gorman 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 Lawrence O’Gorman. Lawrence O’Gorman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Practical algorithms for image analysis : description, examples, programs, and projects | 6 |
| 3 | 3 | |
| 4 | 28 | |
| 5 | 11 | |
| 6 | 21 | |
| 7 | 108 | |
| 8 | Executive briefing : document image analysis | 11 |
| 9 | Document Image Analysis: An Executive Briefing | 8 |
| 10 | 3 | |
| 11 | The document spectrum for page layout analysis | 1 |
| 12 | 255 | |
| 13 | 103 | |
| 14 | 15 | |
| 15 | Document Image Analysis Systems - Guest Editors' Introduction to the Special Issue. | 45 |
| 16 | 10 | |
| 17 | Techniques for Line Drawing Interpretation: An Overview | 15 |
| 18 | A Comparison of Fiducial Shapes for Machine Vision Registration | 5 |
| 19 | 3 | |
| 20 | 12 |
About Lawrence O’Gorman
Lawrence O’Gorman is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Information Systems, having authored 70 papers that have together received 2.9k indexed citations. Recurring topics across this work include Image and Object Detection Techniques (18 papers), Handwritten Text Recognition Techniques (18 papers) and Advanced Steganography and Watermarking Techniques (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.0k citations), Signal Processing (791 citations) and Media Technology (319 citations). Lawrence O’Gorman has collaborated with scholars based in United States, Bermuda and United Kingdom. Frequent co-authors include Jack Brassil, N.F. Maxemchuk, Steven H. Low, Jeffrey V. Nickerson, Rangachar Kasturi, Michael Seul, Hal Berghel, Arthur C. Sanderson, M. Sammon and H. V. Jagadish. Their work appears in journals such as Science, IEEE Transactions on Pattern Analysis and Machine Intelligence and Proceedings of the IEEE.
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.