Guy Jacobson
Impact in
- Transportation top 10%
- Human Mobility and Location-Based Analysis
- Hardware and Architecture top 10%
- Network Packet Processing and Optimization
Papers in
-
- Artificial Intelligence in Games 2
- Algorithms and Data Compression 2
-
- Software System Performance and Reliability 3
- Wireless Communication Networks Research 2
- Co-authors
- Kiem-Phong Vo (1 shared paper)Andrew W. Appel (2 shared papers)Zhi-Li Zhang (6 shared papers)Yu Jin (6 shared papers)Cristian Borcea (3 shared papers)Manoop Talasila (3 shared papers)Subhabrata Sen (4 shared papers)Patrick Haffner (5 shared papers)
- Journals
- Communications of the ACM (1 paper)Lecture notes in computer science (1 paper)2021 IEEE International Conference on Big Data (Big Data) (1 paper)Research Showcase @ Carnegie Mellon University (Carnegie Mellon University) (1 paper)University of Minnesota Digital Conservancy (University of Minnesota) (1 paper)
- Partner nations
- United States
In The Last Decade
Guy Jacobson
15 papers receiving 396 citations
Peers
Comparison fields: 5 of 52
- Transportation 51
- Hardware and Architecture 52
- Computer Networks and Communications 168
- Artificial Intelligence 232
- Signal Processing 56
Countries citing papers authored by Guy Jacobson
This map shows the geographic impact of Guy Jacobson'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 Guy Jacobson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guy Jacobson more than expected).
Fields of papers citing papers by Guy Jacobson
This network shows the impact of papers produced by Guy Jacobson. 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 Guy Jacobson. The network helps show where Guy Jacobson may publish in the future.
Co-authors
The 25 scholars most cited alongside Guy Jacobson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Succinct static data structures | 1988 | 133 |
| 2 | 2012 | 51 | |
| 3 | 1992 | 46 | |
| 4 | 2020 | 44 | |
| 5 | 1988 | 43 | |
| 6 | 2012 | 30 | |
| 7 | 2018 | 25 | |
| 8 | 1998 | 15 | |
| 9 | 2019 | 12 | |
| 10 | 2011 | 12 | |
| 11 | Understanding the complexity of 3G UMTS network performance | 2013 | 8 |
| 12 | 2021 | 5 | |
| 13 | 2011 | 4 | |
| 14 | 2020 | 2 | |
| 15 | 2018 | 1 | |
| 16 | Understanding the complexity of 3G UMTS network performance - Modeling, Prediction, and Diagnosis | 2012 | 1 |
About Guy Jacobson
Guy Jacobson is a scholar working on Artificial Intelligence, Computer Networks and Communications, Transportation, Electrical and Electronic Engineering and Information Systems, having authored 16 papers that have together received 432 indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (4 papers), Software System Performance and Reliability (3 papers), Artificial Intelligence in Games (2 papers), Wireless Communication Networks Research (2 papers), Green IT and Sustainability (2 papers), Advanced MIMO Systems Optimization (2 papers), Algorithms and Data Compression (2 papers) and Advanced Wireless Network Optimization (2 papers). The work is most often cited by research in Transportation (51 citations), Hardware and Architecture (52 citations), Computer Networks and Communications (168 citations), Artificial Intelligence (232 citations) and Signal Processing (56 citations). Guy Jacobson has collaborated with scholars based in United States. Frequent co-authors include Kiem-Phong Vo, Andrew W. Appel, Zhi-Li Zhang, Yu Jin, Cristian Borcea, Manoop Talasila, Subhabrata Sen, Patrick Haffner, Shobha Venkataraman and Nick Duffield. Their work appears in journals such as Communications of the ACM, Lecture notes in computer science, 2021 IEEE International Conference on Big Data (Big Data), Research Showcase @ Carnegie Mellon University (Carnegie Mellon University) and University of Minnesota Digital Conservancy (University of Minnesota).
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.