Daniel Reiter Horn
- Hardware and Architecture top 0.5%
- Computer Networks and Communications top 1%
- Computer Vision and Pattern Recognition top 5%
- Computer Graphics and Computer-Aided Design top 1%
- Information Systems top 5%
- Co-authors
- Pat HanrahanMike HoustonKayvon FatahalianJeremy SugermanIan BuckTim FoleyMattan ErezAlex Aiken
- Topics
- Advanced Vision and Imaging (4 papers)Computer Graphics and Visualization Techniques (4 papers)Parallel Computing and Optimization Techniques (3 papers)
- Cited by
- Hardware and ArchitectureComputer Graphics and Computer-Aided DesignComputer Networks and Communications
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Daniel Reiter Horn
11 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Hardware and Architecture 1.1k
- Computer Networks and Communications 949
- Computer Vision and Pattern Recognition 346
- Computer Graphics and Computer-Aided Design 282
- Information Systems 220
Countries citing papers authored by Daniel Reiter Horn
This map shows the geographic impact of Daniel Reiter Horn'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 Daniel Reiter Horn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Reiter Horn more than expected).
Fields of papers citing papers by Daniel Reiter Horn
This network shows the impact of papers produced by Daniel Reiter Horn. 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 Daniel Reiter Horn. The network helps show where Daniel Reiter Horn may publish in the future.
Co-authorship network of co-authors of Daniel Reiter Horn
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Reiter Horn. A scholar is included among the top collaborators of Daniel Reiter Horn 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 Daniel Reiter Horn. Daniel Reiter Horn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | A scalable server for 3D metaverses | 4 |
| 2 | 7 | |
| 3 | 145 | |
| 4 | 14 | |
| 5 | Memory---Sequoiabreakdown → | 302 |
| 6 | 136 | |
| 7 | Assessment of Graphic Processing Units (GPUs) for Department of Defense (DoD) Digital Signal Processing (DSP) Applications | 12 |
| 8 | 79 | |
| 9 | 17 | |
| 10 | 206 | |
| 11 | Brook for GPUsbreakdown → | 804 |
About Daniel Reiter Horn
Daniel Reiter Horn is a scholar working on Computer Graphics and Computer-Aided Design, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 11 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (4 papers), Computer Graphics and Visualization Techniques (4 papers) and Parallel Computing and Optimization Techniques (3 papers). The work is most often cited by research in Hardware and Architecture (1.1k citations), Computer Graphics and Computer-Aided Design (282 citations) and Computer Networks and Communications (949 citations). Daniel Reiter Horn has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Pat Hanrahan, Mike Houston, Kayvon Fatahalian, Jeremy Sugerman, Ian Buck, Tim Foley, Mattan Erez, Alex Aiken, Manman Ren and Timothy J. Knight. Their work appears in journals such as ACM Transactions on Graphics, IEEE Pervasive Computing and Graphical Models.
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.