Evan Herbst
- Artificial Intelligence top 0.1%
- Computer Vision and Pattern Recognition top 0.5%
- Aerospace Engineering top 1%
- Molecular Biology
- Geology top 1%
- Co-authors
- Hieu HoangOndřej BojarPhilipp KoehnBrooke CowanAlexandra ConstantinChris DyerMarcello FedericoAlexandra Birch
- Topics
- Advanced Vision and Imaging (5 papers)Robotics and Sensor-Based Localization (5 papers)Topic Modeling (3 papers)
- Partner nations
- United StatesCzechiaGermany
In The Last Decade
Evan Herbst
12 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Artificial Intelligence 4.3k
- Computer Vision and Pattern Recognition 1.6k
- Aerospace Engineering 743
- Molecular Biology 545
- Geology 354
Countries citing papers authored by Evan Herbst
This map shows the geographic impact of Evan Herbst'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 Evan Herbst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evan Herbst more than expected).
Fields of papers citing papers by Evan Herbst
This network shows the impact of papers produced by Evan Herbst. 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 Evan Herbst. The network helps show where Evan Herbst may publish in the future.
Co-authorship network of co-authors of Evan Herbst
This figure shows the co-authorship network connecting the top 25 collaborators of Evan Herbst. A scholar is included among the top collaborators of Evan Herbst 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 Evan Herbst. Evan Herbst is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 82 | |
| 3 | RGB-D mapping: Using Kinect-style depth cameras for dense 3D modeling of indoor environmentsbreakdown → | 828 |
| 4 | 40 | |
| 5 | 54 | |
| 6 | 23 | |
| 7 | Occlusion Reasoning for Temporal Interpolation using Optical Flow | 24 |
| 8 | 4 | |
| 9 | Moses: Open Source Toolkit for Statistical Machine Translationbreakdown → | 1105 |
| 10 | Mosesbreakdown → | 3165 |
| 11 | Open Source Toolkit for Statistical Machine Translation: Factored Translation Models and Lattice Decoding | 6 |
| 12 | 343 |
About Evan Herbst
Evan Herbst is a scholar working on Computer Vision and Pattern Recognition, Geology and Aerospace Engineering, having authored 12 papers that have together received 5.7k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (5 papers), Robotics and Sensor-Based Localization (5 papers) and Topic Modeling (3 papers). The work is most often cited by research in Artificial Intelligence (4.3k citations), Computer Vision and Pattern Recognition (1.6k citations) and Geology (354 citations). Evan Herbst has collaborated with scholars based in United States, Czechia and Germany. Frequent co-authors include Hieu Hoang, Ondřej Bojar, Philipp Koehn, Brooke Cowan, Alexandra Constantin, Chris Dyer, Marcello Federico, Alexandra Birch, Wade Shen and Richard Zens. Their work appears in journals such as PLANT PHYSIOLOGY, ACM Transactions on Graphics and The International Journal of Robotics Research.
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.