Sebastian Goodman

17 total papers · 7.2k total citations
2 papers, 998 citations indexed

About

Sebastian Goodman is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, Sebastian Goodman has authored 2 papers receiving a total of 998 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 1 paper in Artificial Intelligence and 0 papers in Infectious Diseases. Recurrent topics in Sebastian Goodman's work include Advanced Image and Video Retrieval Techniques (2 papers), Multimodal Machine Learning Applications (2 papers) and Video Analysis and Summarization (1 paper). Sebastian Goodman is often cited by papers focused on Advanced Image and Video Retrieval Techniques (2 papers), Multimodal Machine Learning Applications (2 papers) and Video Analysis and Summarization (1 paper). Sebastian Goodman collaborates with scholars based in United States. Sebastian Goodman's co-authors include Radu Soricut, Piyush Sharma, Nan Ding, Wei‐Lun Chao, Soravit Changpinyo, Xi Chen and Hexiang Hu and has published in prestigious journals such as .

In The Last Decade

Sebastian Goodman

2 papers receiving 949 citations

Hit Papers

Conceptual Captions: A Cl... 2018 2026 2020 2023 2018 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sebastian Goodman 868 676 25 15 14 2 998
Piyush Sharma 899 1.0× 699 1.0× 26 1.0× 16 1.1× 17 1.2× 10 1.0k
Nikhil Thorat 424 0.5× 835 1.2× 8 0.3× 39 2.6× 31 2.2× 5 1.0k
Macduff Hughes 361 0.4× 800 1.2× 8 0.3× 29 1.9× 32 2.3× 3 927
Aditya Barua 221 0.3× 888 1.3× 13 0.5× 21 1.4× 21 1.5× 6 998
Hao Fang 847 1.0× 517 0.8× 6 0.2× 18 1.2× 11 0.8× 18 1.1k
Douglas Summers-Stay 1.0k 1.2× 897 1.3× 8 0.3× 13 0.9× 4 0.3× 13 1.2k
Maxwell Forbes 415 0.5× 480 0.7× 27 1.1× 32 2.1× 9 0.6× 17 815
Yash Goyal 1.0k 1.2× 896 1.3× 8 0.3× 13 0.9× 5 0.4× 12 1.2k
Linting Xue 220 0.3× 866 1.3× 14 0.6× 21 1.4× 21 1.5× 11 970
Varun Manjunatha 240 0.3× 675 1.0× 27 1.1× 36 2.4× 4 0.3× 18 840

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

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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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