Benjamin Sapp

3.6k citations
22 papers · 1.9k · 2 hit papers · h-index 17

Impact in

Papers in

Benjamin Sapp

22 papers receiving 1.9k citations

Benjamin Sapp's Hit Papers

Wayformer: Motion Forecasting via Simple & Efficient Attention Networks 2023 · 164 citations
1640+1+2Years since publication50100150200

Peers

Benjamin Sapp
Comparison fields: 5 of 106
  • Computer Vision and Pattern Recognition 1.1k
  • Automotive Engineering 557
  • Signal Processing 264
  • Human-Computer Interaction 134
  • Artificial Intelligence 612
Replace Jinkyu Kim with:
Jinkyu Kim South Korea
Masao Sakauchi Japan
Fabien Moutarde France
Hongbin Sun China
Xiang Zhang China
Julian P. Eggert Germany
Johannes Stallkamp Germany
Xu Xie China
Federica Pascucci Italy
David Stavens United States
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Benjamin Sapp, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Benjamin Sapp Line = papers co-authored together Benjamin Sapp links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction
Hit paper breakdown →
2022223
2 2016219
3 2019207
4 2012180
5 2010177
6
Wayformer: Motion Forecasting via Simple & Efficient Attention Networks
Hit paper breakdown →
2023164
7 2009132
8 2011112
9 2010107
10 202398
11
Peripheral-foveal vision for real-time object recognition and tracking in video
200764
12 202358
13 201041
14 202338
15
Sidestepping Intractable Inference with Structured Ensemble Cascades
201031
16 201127
17
A fast data collection and augmentation procedure for object recognition
200822
18 201311
19 20227
20
Independence and functional dependence relations on secrets
20107

About Benjamin Sapp

Benjamin Sapp is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Artificial Intelligence, Safety, Risk, Reliability and Quality and Signal Processing, having authored 22 papers that have together received 1.9k indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (7 papers), Video Surveillance and Tracking Methods (7 papers), Human Pose and Action Recognition (6 papers), Advanced Image and Video Retrieval Techniques (5 papers), Anomaly Detection Techniques and Applications (4 papers), Advanced Vision and Imaging (3 papers), Traffic and Road Safety (3 papers) and Time Series Analysis and Forecasting (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Automotive Engineering (557 citations), Signal Processing (264 citations), Human-Computer Interaction (134 citations) and Artificial Intelligence (612 citations). Benjamin Sapp has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Ben Taskar, James F. Philbin, Alexander Toshev, Chris Jordan, Nigamaa Nayakanti, Khaled S. Refaat, David A Weiss, Matt Blaze, Jonathan M. Smith and Adam J. Aviv. Their work appears in journals such as Journal of Luminescence, Lecture notes in computer science, ScholarlyCommons (University of Pennsylvania), National Conference on Artificial Intelligence and ePrints Soton (University of Southampton).

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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