Benjamin Sapp

3.7k total citations · 2 hit papers
21 papers, 1.2k citations indexed

About

Benjamin Sapp is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Artificial Intelligence. According to data from OpenAlex, Benjamin Sapp has authored 21 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 8 papers in Automotive Engineering and 7 papers in Artificial Intelligence. Recurrent topics in Benjamin Sapp's work include Autonomous Vehicle Technology and Safety (8 papers), Video Surveillance and Tracking Methods (7 papers) and Anomaly Detection Techniques and Applications (5 papers). Benjamin Sapp is often cited by papers focused on Autonomous Vehicle Technology and Safety (8 papers), Video Surveillance and Tracking Methods (7 papers) and Anomaly Detection Techniques and Applications (5 papers). Benjamin Sapp collaborates with scholars based in United States, Germany and Israel. Benjamin Sapp's co-authors include Ben Taskar, James Philbin, Chris Jordan, Jonathan M. Smith, Adam J. Aviv, Matt Blaze, Khaled S. Refaat, David Weiß, Nigamaa Nayakanti and Timothée Cour and has published in prestigious journals such as Journal of Luminescence, 2009 IEEE Conference on Computer Vision and Pattern Recognition and ePrints Soton (University of Southampton).

In The Last Decade

Benjamin Sapp

20 papers receiving 1.2k 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.

MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction

2022 177 citations Balakrishnan Varadarajan, Ahmed Hefny et al. 2022 International Conference on Robotics and Automation (ICRA) profile →
Wayformer: Motion Forecasting via Simple & Efficient Attention Networks

2023 118 citations Nigamaa Nayakanti, Rami Al‐Rfou et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Benjamin Sapp United States	15	627	433	362	222	158	21	1.2k
Henggang Cui United States	13	695 1.1×	554 1.3×	762 2.1×	95 0.4×	193 1.2×	20	1.5k
Xu Xie China	15	238 0.4×	122 0.3×	399 1.1×	37 0.2×	102 0.6×	36	921
Bo Dai United States	16	568 0.9×	58 0.1×	494 1.4×	55 0.2×	143 0.9×	53	1.2k
Yafeng Yin China	17	266 0.4×	88 0.2×	267 0.7×	104 0.5×	49 0.3×	72	908
Jonathan Petit Netherlands	18	103 0.2×	501 1.2×	608 1.7×	178 0.8×	90 0.6×	54	1.7k
Geetam Singh Tomar India	22	153 0.2×	107 0.2×	186 0.5×	107 0.5×	54 0.3×	184	1.6k
Hamed Tabkhi United States	13	172 0.3×	56 0.1×	163 0.5×	44 0.2×	70 0.4×	83	681
Jaehoon Jeong South Korea	22	107 0.2×	147 0.3×	192 0.5×	158 0.7×	128 0.8×	162	1.7k
Xueshi Hou United States	11	273 0.4×	140 0.3×	166 0.5×	89 0.4×	50 0.3×	18	1.1k
Paul Patras United Kingdom	19	199 0.3×	29 0.1×	699 1.9×	266 1.2×	105 0.7×	61	2.0k

Countries citing papers authored by Benjamin Sapp

Since Specialization

Citations

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

Fields of papers citing papers by Benjamin Sapp

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Sapp

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

20 of 20 papers shown

Nayakanti, Nigamaa, Rami Al‐Rfou, Aurick Zhou, et al.. (2023). Wayformer: Motion Forecasting via Simple & Efficient Attention Networks. 2980–2987. 118 indexed citations breakdown →

Anguelov, Dragomir, Justin Fu, Rowan McAllister, et al.. (2023). Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research. 7730–7742.

Jiang, Chiyu Max, et al.. (2023). MotionDiffuser: Controllable Multi-Agent Motion Prediction Using Diffusion. 9644–9653. 65 indexed citations

Seff, Ari, Dian Chen, Aurick Zhou, et al.. (2023). MotionLM: Multi-Agent Motion Forecasting as Language Modeling. 8545–8556. 35 indexed citations

Lu, Yiren, Justin Fu, George Tucker, et al.. (2023). Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios. 7553–7560. 25 indexed citations

Douillard, Bertrand, et al.. (2022). Narrowing the coordinate-frame gap in behavior prediction models: Distillation for efficient and accurate scene-centric motion forecasting. 2022 International Conference on Robotics and Automation (ICRA). 653–659. 6 indexed citations

Varadarajan, Balakrishnan, Ahmed Hefny, Khaled S. Refaat, et al.. (2022). MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction. 2022 International Conference on Robotics and Automation (ICRA). 7814–7821. 177 indexed citations breakdown →

Zhao, Hang, Jiyang Gao, Tian Lan, et al.. (2020). TNT: Target-driveN Trajectory Prediction. arXiv (Cornell University). 895–904. 5 indexed citations

Sapp, Benjamin, et al.. (2019). Rules of the Road: Predicting Driving Behavior With a Convolutional Model of Semantic Interactions. 8446–8454. 170 indexed citations

10.

Weiss, David J., Benjamin Sapp, & Ben Taskar. (2013). Dynamic Structured Model Selection. 33. 2656–2663. 9 indexed citations

11.

Aviv, Adam J., Benjamin Sapp, Matt Blaze, & Jonathan M. Smith. (2012). Practicality of accelerometer side channels on smartphones. 41–50. 163 indexed citations

12.

Pagonis, Vasilis, et al.. (2011). Simulations of time-resolved photoluminescence experiments in α-Al2O3:C. Journal of Luminescence. 131(5). 1086–1094. 25 indexed citations

13.

Sapp, Benjamin, David Weiß, & Ben Taskar. (2011). Parsing human motion with stretchable models. 1281–1288. 89 indexed citations

14.

Naumov, Pavel, et al.. (2010). Independence and functional dependence relations on secrets. ePrints Soton (University of Southampton). 528–533. 3 indexed citations

15.

Sapp, Benjamin, Chris Jordan, & Ben Taskar. (2010). Adaptive pose priors for pictorial structures. ScholarlyCommons (University of Pennsylvania). 82 indexed citations

16.

Cour, Timothée, et al.. (2010). Talking pictures: Temporal grouping and dialog-supervised person recognition. 1014–1021. 33 indexed citations

17.

Weiß, David, Benjamin Sapp, & Ben Taskar. (2010). Sidestepping Intractable Inference with Structured Ensemble Cascades. ScholarlyCommons (University of Pennsylvania). 23. 2415–2423. 31 indexed citations

18.

Cour, Timothée, Benjamin Sapp, Chris Jordan, & Ben Taskar. (2009). Learning from ambiguously labeled images. 2009 IEEE Conference on Computer Vision and Pattern Recognition. 919–926. 105 indexed citations

19.

Sapp, Benjamin, Ashutosh Saxena, & Andrew Y. Ng. (2008). A fast data collection and augmentation procedure for object recognition. National Conference on Artificial Intelligence. 1402–1408. 18 indexed citations

20.

Gould, Stephen Jay, et al.. (2007). Peripheral-foveal vision for real-time object recognition and tracking in video. ANU Open Research (Australian National University). 2115–2121. 57 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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