Dustin Schwenk

1.2k total citations · 1 hit paper
7 papers, 437 citations indexed

About

Dustin Schwenk is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Mechanics of Materials. According to data from OpenAlex, Dustin Schwenk has authored 7 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 1 paper in Mechanics of Materials. Recurrent topics in Dustin Schwenk's work include Multimodal Machine Learning Applications (5 papers), Human Pose and Action Recognition (3 papers) and Topic Modeling (3 papers). Dustin Schwenk is often cited by papers focused on Multimodal Machine Learning Applications (5 papers), Human Pose and Action Recognition (3 papers) and Topic Modeling (3 papers). Dustin Schwenk collaborates with scholars based in United States and South Korea. Dustin Schwenk's co-authors include Aniruddha Kembhavi, Ali Farhadi, Hannaneh Hajishirzi, Jordi Salvador, Luca Weihs, Matt Deitke, Eli VanderBilt, Ludwig Schmidt, Oscar Michel and Minjoon Seo and has published in prestigious journals such as arXiv (Cornell University) and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

Dustin Schwenk

7 papers receiving 415 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.

Objaverse: A Universe of Annotated 3D Objects

2023 236 citations Matt Deitke, Dustin Schwenk et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dustin Schwenk United States	6	298	168	109	99	39	7	437
Zilong Zheng China	9	212 0.7×	137 0.8×	58 0.5×	43 0.4×	25 0.6×	22	327
Linqi Zhou United States	4	164 0.6×	65 0.4×	156 1.4×	125 1.3×	21 0.5×	8	316
Ignas Budvytis United Kingdom	13	382 1.3×	45 0.3×	104 1.0×	60 0.6×	24 0.6×	26	444
Weize Quan China	11	313 1.1×	42 0.3×	31 0.3×	30 0.3×	28 0.7×	23	391
Tanmay Gupta India	7	159 0.5×	81 0.5×	64 0.6×	31 0.3×	12 0.3×	14	269
Yipeng Qin United Kingdom	9	145 0.5×	54 0.3×	68 0.6×	51 0.5×	15 0.4×	34	273
Tao Lu China	10	223 0.7×	50 0.3×	49 0.4×	24 0.2×	9 0.2×	27	335
Aliaksandr Siarohin United States	10	284 1.0×	112 0.7×	61 0.6×	75 0.8×	26 0.7×	26	362
Lintao Zheng China	9	191 0.6×	31 0.2×	100 0.9×	24 0.2×	19 0.5×	15	267
Zhenzhong Kuang China	10	185 0.6×	86 0.5×	50 0.5×	17 0.2×	8 0.2×	33	268

Countries citing papers authored by Dustin Schwenk

Since Specialization

Citations

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

Fields of papers citing papers by Dustin Schwenk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dustin Schwenk

This figure shows the co-authorship network connecting the top 25 collaborators of Dustin Schwenk. A scholar is included among the top collaborators of Dustin Schwenk 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 Dustin Schwenk. Dustin Schwenk 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:

7 of 7 papers shown

1.

Ehsani, Kiana, Tanmay Gupta, Rose Hendrix, et al.. (2024). SPOC: Imitating Shortest Paths in Simulation Enables Effective Navigation and Manipulation in the Real World. 16238–16250. 12 indexed citations

2.

Deitke, Matt, Dustin Schwenk, Jordi Salvador, et al.. (2023). Objaverse: A Universe of Annotated 3D Objects. 13142–13153. 236 indexed citations breakdown →

3.

Clark, Christopher, Jordi Salvador, Dustin Schwenk, et al.. (2021). Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 1864–1886. 1 indexed citations

4.

Cho, Jaemin, Jiasen Lu, Dustin Schwenk, Hannaneh Hajishirzi, & Aniruddha Kembhavi. (2020). X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers. 8785–8805. 52 indexed citations

5.

Weihs, Luca, Aniruddha Kembhavi, Kiana Ehsani, et al.. (2019). Learning Generalizable Visual Representations via Interactive Gameplay. arXiv (Cornell University). 5 indexed citations

6.

Kembhavi, Aniruddha, Minjoon Seo, Dustin Schwenk, et al.. (2017). Are You Smarter Than a Sixth Grader? Textbook Question Answering for Multimodal Machine Comprehension. 5376–5384. 126 indexed citations

7.

Najjar, Fady, et al.. (2012). Rocstar Simulation Suite: An Advanced 3-D Multiphysics, Multiscale Computational Framework for Tightly Coupled, Fluid-Structure-Thermal Applications. 5 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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