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
-
- Human Mobility and Location-Based Analysis 4
-
- Internet Traffic Analysis and Secure E-voting 2
- Algorithms and Data Compression 2
- Artificial Intelligence in Games 2
- Co-authors
- Andrew W. Appel (2 shared papers)Kiem-Phong Vo (1 shared paper)Yu Jin (5 shared papers)Zhi-Li Zhang (5 shared papers)Manoop Talasila (3 shared papers)Cristian Borcea (3 shared papers)Shobha Venkataraman (4 shared papers)Nick G. Duffield (4 shared papers)
- Journals
- Communications of the ACM (1 paper)Lecture notes in computer science (1 paper)KiltHub Repository (1 paper)2021 IEEE International Conference on Big Data (Big Data) (1 paper)
- Partner nations
- United States
In The Last Decade
Guy Jacobson
15 papers receiving 402 citations
Peers
Comparison fields: 5 of 52
- Transportation 50
- Hardware and Architecture 52
- Computer Networks and Communications 172
- Artificial Intelligence 237
- Signal Processing 55
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 | 53 | |
| 3 | 2020 | 48 | |
| 4 | 1992 | 44 | |
| 5 | 1988 | 43 | |
| 6 | 2012 | 30 | |
| 7 | 2018 | 27 | |
| 8 | 1998 | 14 | |
| 9 | 2019 | 13 | |
| 10 | 2011 | 12 | |
| 11 | Understanding the complexity of 3G UMTS network performance | 2013 | 8 |
| 12 | 2021 | 5 | |
| 13 | 2011 | 4 | |
| 14 | 2020 | 3 | |
| 15 | 2018 | 1 |
About Guy Jacobson
Guy Jacobson is a scholar working on Transportation, Artificial Intelligence, Computer Networks and Communications, Marketing and Organizational Behavior and Human Resource Management, having authored 15 papers that have together received 438 indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (4 papers), Software System Performance and Reliability (3 papers), Green IT and Sustainability (2 papers), Customer Service Quality and Loyalty (2 papers), Internet Traffic Analysis and Secure E-voting (2 papers), Algorithms and Data Compression (2 papers), Artificial Intelligence in Games (2 papers) and Customer churn and segmentation (2 papers). The work is most often cited by research in Transportation (50 citations), Hardware and Architecture (52 citations), Computer Networks and Communications (172 citations), Artificial Intelligence (237 citations) and Signal Processing (55 citations). Guy Jacobson has collaborated with scholars based in United States. Frequent co-authors include Andrew W. Appel, Kiem-Phong Vo, Yu Jin, Zhi-Li Zhang, Manoop Talasila, Cristian Borcea, Shobha Venkataraman, Nick G. Duffield, Subhabrata Bapi Sen and Patrick Haffner. Their work appears in journals such as Communications of the ACM, Lecture notes in computer science, KiltHub Repository and 2021 IEEE International Conference on Big Data (Big Data).
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.