Spencer Whitehead

9.2k total citations · 1 hit paper
12 papers, 4.2k citations indexed

About

Spencer Whitehead is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Spencer Whitehead has authored 12 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Spencer Whitehead's work include Topic Modeling (6 papers), Multimodal Machine Learning Applications (5 papers) and Natural Language Processing Techniques (5 papers). Spencer Whitehead is often cited by papers focused on Topic Modeling (6 papers), Multimodal Machine Learning Applications (5 papers) and Natural Language Processing Techniques (5 papers). Spencer Whitehead collaborates with scholars based in United States, Jamaica and China. Spencer Whitehead's co-authors include Piotr Dollár, Alexander C. Berg, Laura Gustafson, Tete Xiao, Alexander M. Kirillov, Wan‐Yen Lo, Hanzi Mao, Eric Mintun, Ross Girshick and Nikhila Ravi and has published in prestigious journals such as Theory and applications of categories and PubMed.

In The Last Decade

Spencer Whitehead

12 papers receiving 4.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Segment Anything

2023 4.0k citations Alexander M. Kirillov, Eric Mintun et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Spencer Whitehead United States	9	2.0k	1.0k	406	379	332	12	4.2k
Eric Mintun United States	6	1.9k 1.0×	904 0.9×	404 1.0×	373 1.0×	331 1.0×	7	4.1k
Wan‐Yen Lo United States	6	2.0k 1.0×	914 0.9×	442 1.1×	374 1.0×	335 1.0×	7	4.1k
Laura Gustafson	3	2.0k 1.0×	927 0.9×	405 1.0×	376 1.0×	332 1.0×	4	4.1k
Nikhila Ravi United States	9	2.4k 1.2×	982 1.0×	415 1.0×	385 1.0×	423 1.3×	9	4.6k
Tete Xiao United States	8	2.7k 1.4×	1.3k 1.3×	490 1.2×	408 1.1×	433 1.3×	9	5.3k
Zhong‐Qiu Zhao China	20	2.6k 1.3×	964 0.9×	535 1.3×	292 0.8×	390 1.2×	72	4.8k
Bing Shuai Singapore	17	2.4k 1.2×	1.6k 1.6×	411 1.0×	425 1.1×	241 0.7×	31	5.8k
Peng Zheng China	5	2.0k 1.0×	662 0.6×	426 1.0×	266 0.7×	368 1.1×	5	3.6k
Václav Hlaváč Czechia	23	2.6k 1.3×	718 0.7×	474 1.2×	339 0.9×	371 1.1×	85	4.4k

Countries citing papers authored by Spencer Whitehead

Since Specialization

Citations

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

Fields of papers citing papers by Spencer Whitehead

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Spencer Whitehead

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

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Whitehead, Spencer, et al.. (2024). Simple Token-Level Confidence Improves Caption Correctness. 5730–5740. 1 indexed citations

2.

Kirillov, Alexander M., Eric Mintun, Nikhila Ravi, et al.. (2023). Segment Anything. 3992–4003. 4021 indexed citations breakdown →

3.

Dancette, Corentin, Spencer Whitehead, Ramakrishna Vedantam, et al.. (2023). Improving Selective Visual Question Answering by Learning from Your Peers. 24049–24059. 6 indexed citations

4.

Whitehead, Spencer, Hui Wu, Heng Ji, Rogério Feris, & Kate Saenko. (2021). Separating Skills and Concepts for Novel Visual Question Answering. 5628–5637. 18 indexed citations

5.

Li, Manling, Alireza Zareian, Ying Lin, et al.. (2020). GAIA: A Fine-grained Multimedia Knowledge Extraction System. 77–86. 44 indexed citations

6.

Li, Manling, Ying Lin, Joseph Hoover, et al.. (2019). Multilingual Entity, Relation, Event and Human Value Extraction. 110–115. 10 indexed citations

7.

Whitehead, Spencer, Heng Ji, Mohit Bansal, Shih-Fu Chang, & Clare R. Voss. (2018). Incorporating Background Knowledge into Video Description Generation. 3992–4001. 11 indexed citations

8.

Zhang, Boliang, Spencer Whitehead, Lifu Huang, & Heng Ji. (2018). Global Attention for Name Tagging. 86–96. 11 indexed citations

9.

Zhang, Boliang, Xiaoman Pan, Ying Lin, et al.. (2017). RPI BLENDER TAC-KBP2017 13 Languages EDL System.. Theory and applications of categories. 2 indexed citations

10.

Zhang, Tongtao, Spencer Whitehead, Hanwang Zhang, et al.. (2017). Improving Event Extraction via Multimodal Integration. 270–278. 26 indexed citations

11.

Yu, Dian, Xiaoman Pan, Boliang Zhang, et al.. (2016). RPI BLENDER TAC-KBP2016 System Description.. Theory and applications of categories. 10 indexed citations

12.

Letovsky, Stanley, et al.. (1999). A brain image database for structure/function analysis.. PubMed. 19(10). 1869–77. 24 indexed citations

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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