Evan Herbst

9.5k citations
12 papers · 5.7k · 3 hit papers · h-index 10

Impact in

Papers in

Evan Herbst

12 papers receiving 5.0k citations

Evan Herbst's Hit Papers

RGB-D mapping: Using Kinect-style depth cameras for dense 3D modeling of indoor environments 2012 · 836 citations
8360+6+12Years since publication10002.0k3.0k

Peers

Evan Herbst
Comparison fields: 5 of 114
  • Artificial Intelligence 4.3k
  • Computer Vision and Pattern Recognition 1.6k
  • Geology 359
  • Aerospace Engineering 748
  • Language and Linguistics 190
Replace Jun Xie with:
Jun Xie China
Ben Wegbreit United States
Dirk Schulz Germany
Wheeler Ruml United States
Lin Ma China
Bac Le Vietnam
Brody Huval United States
Jie Lin Singapore
Lazaros Nalpantidis Denmark
Evan Herbst relative to Jun Xie China Jun Xie's profile →
Citations per field
00.5×10×20×27.1×
Jun Xie · 1×
Citations per year

Countries citing papers authored by Evan Herbst

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Evan Herbst, 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 Evan Herbst Line = papers co-authored together Evan Herbst links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Moses
Hit paper breakdown →
20073170
2
Moses: Open Source Toolkit for Statistical Machine Translation
Hit paper breakdown →
20071109
3
RGB-D mapping: Using Kinect-style depth cameras for dense 3D modeling of indoor environments
Hit paper breakdown →
2012836
4 2005343
5 201382
6 201155
7 201140
8 201428
9
Occlusion Reasoning for Temporal Interpolation using Optical Flow
200924
10 201023
11
Open Source Toolkit for Statistical Machine Translation: Factored Translation Models and Lattice Decoding
20066
12 20095

About Evan Herbst

Evan Herbst is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence, Geology and Molecular Biology, having authored 12 papers that have together received 5.7k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (5 papers), Advanced Vision and Imaging (5 papers), Topic Modeling (3 papers), Natural Language Processing Techniques (3 papers), Semantic Web and Ontologies (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Video Surveillance and Tracking Methods (2 papers) and 3D Surveying and Cultural Heritage (2 papers). The work is most often cited by research in Artificial Intelligence (4.3k citations), Computer Vision and Pattern Recognition (1.6k citations), Geology (359 citations), Aerospace Engineering (748 citations) and Language and Linguistics (190 citations). Evan Herbst has collaborated with scholars based in United States, Germany and Czechia. Frequent co-authors include Chris Callison-Burch, Wade Shen, Nicola Bertoldi, Hieu Hoang, Chris Dyer, Marcello Federico, Ondřej Bojar, Richard Zens, Alexandra Birch and Alexandra Constantin. Their work appears in journals such as ACM Transactions on Graphics, The International Journal of Robotics Research, PLANT PHYSIOLOGY, Edinburgh Research Explorer (University of Edinburgh) and 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

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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