James S. Goddard

862 citations
53 papers · 588 indexed · h-index 12
Topics
Medical Imaging Techniques and Applications (21 papers)Advanced Vision and Imaging (11 papers)Industrial Vision Systems and Defect Detection (11 papers)

In The Last Decade

James S. Goddard

50 papers receiving 539 citations

Peers

James S. Goddard
Comparison fields: 5 of 99
  • Computer Vision and Pattern Recognition 238
  • Industrial and Manufacturing Engineering 172
  • Aerospace Engineering 132
  • Radiology, Nuclear Medicine and Imaging 127
  • Media Technology 123
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Citations per field
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Countries citing papers authored by James S. Goddard

Since Specialization
Citations

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

Fields of papers citing papers by James S. Goddard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James S. Goddard. 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 James S. Goddard. The network helps show where James S. Goddard may publish in the future.

Co-authorship network of co-authors of James S. Goddard

This figure shows the co-authorship network connecting the top 25 collaborators of James S. Goddard. A scholar is included among the top collaborators of James S. Goddard 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 James S. Goddard. James S. Goddard 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 3
2 1
3 15
4 2
5 2
6 1
7 7
8 5
9 26
10
Contemporary child care policy and practice
0
11 7
12 1
13 9
14 1
15 44
16
Rule-based inspection of printed green ceramic tape
1
17
On-line optical measurement and monitoring of yarn density in woven fabrics
1
18
Robust pose determination for autonomous docking
5
19
Advances in instrument design and image recording.
3
20
The Large Coil Test Facility instrumentation system design
0

About James S. Goddard

James S. Goddard is a scholar working on Radiation, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition, having authored 53 papers that have together received 588 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (21 papers), Advanced Vision and Imaging (11 papers) and Industrial Vision Systems and Defect Detection (11 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (172 citations), Media Technology (123 citations) and Computer Vision and Pattern Recognition (238 citations). James S. Goddard has collaborated with scholars based in United States, Australia and Israel. Frequent co-authors include Hamed Sari‐Sarraf, Mongi A. Abidi, Regina Ferrell, A.G. Weisenberger, Mark F. Smith, Justin S. Baba, Shaun S. Gleason, S. Majewski, Michael J. Paulus and Vladimir Popov. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industry Applications and Journal of Nuclear Medicine.

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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