Sebastian Goodman

7.2k citations
2 papers · 1.0k indexed · 1 hit paper · h-index 2
Topics
Advanced Image and Video Retrieval Techniques (2 papers)Multimodal Machine Learning Applications (2 papers)Natural Language Processing Techniques (1 paper)
Partner nations
United States

In The Last Decade

Sebastian Goodman

2 papers receiving 963 citations

Hit Papers

Conceptual Captions: A Cleaned, Hypernymed, Image Alt-tex...201820262020202320182505007501000

Peers

Sebastian Goodman
Comparison fields: 5 of 68
  • Computer Vision and Pattern Recognition 875
  • Artificial Intelligence 684
  • Sociology and Political Science 25
  • Signal Processing 16
  • Language and Linguistics 15
Replace Piyush Sharma with:
Piyush Sharma United States
Kushal Kafle United States
Vedanuj Goswami United States
Karl Stratos United States
Yash Goyal India
Antoine Miech France
Xindi Shang Singapore
Yuejian Fang China
Matthias Huck Germany
Houdong Hu United Kingdom
Sebastian Goodman relative to Piyush Sharma United States Piyush Sharma's profile →
Citations per field
00.5×1.5×
Piyush Sharma · 1×
Citations per year

Countries citing papers authored by Sebastian Goodman

Since Specialization
Citations

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

Fields of papers citing papers by Sebastian Goodman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sebastian Goodman. 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 Sebastian Goodman. The network helps show where Sebastian Goodman may publish in the future.

Co-authorship network of co-authors of Sebastian Goodman

This figure shows the co-authorship network connecting the top 25 collaborators of Sebastian Goodman. A scholar is included among the top collaborators of Sebastian Goodman 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 Sebastian Goodman. Sebastian Goodman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

2 of 2 papers shown
#WorkIndexed citations
1 8
2
Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioningbreakdown →
1004

About Sebastian Goodman

Sebastian Goodman is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Infectious Diseases, having authored 2 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (2 papers), Multimodal Machine Learning Applications (2 papers) and Natural Language Processing Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (875 citations), Artificial Intelligence (684 citations) and Signal Processing (16 citations). Sebastian Goodman has collaborated with scholars based in United States. Frequent co-authors include Radu Soricut, Piyush Sharma, Nan Ding, Soravit Changpinyo, Xi Chen, Hexiang Hu and Wei‐Lun Chao.

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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