Guy Jacobson

627 total citations
15 papers, 328 citations indexed

About

Guy Jacobson is a scholar working on Artificial Intelligence, Computer Networks and Communications and Transportation. According to data from OpenAlex, Guy Jacobson has authored 15 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Computer Networks and Communications and 4 papers in Transportation. Recurrent topics in Guy Jacobson's work include Human Mobility and Location-Based Analysis (4 papers), Software System Performance and Reliability (3 papers) and Internet Traffic Analysis and Secure E-voting (2 papers). Guy Jacobson is often cited by papers focused on Human Mobility and Location-Based Analysis (4 papers), Software System Performance and Reliability (3 papers) and Internet Traffic Analysis and Secure E-voting (2 papers). Guy Jacobson collaborates with scholars based in United States. Guy Jacobson's co-authors include Andrew W. Appel, Yu Jin, Zhi-Li Zhang, Cristian Borcea, Manoop Talasila, Patrick Haffner, Subhabrata Sen, Shobha Venkataraman, Nick Duffield and Alexandre Gerber and has published in prestigious journals such as Communications of the ACM, University of Minnesota Digital Conservancy (University of Minnesota) and KiltHub Repository.

In The Last Decade

Guy Jacobson

14 papers receiving 302 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Guy Jacobson United States 9 160 135 60 55 46 15 328
Thanh T. L. Tran United States 7 168 1.1× 141 1.0× 50 0.8× 70 1.3× 14 0.3× 8 329
Yanchao Tan China 11 216 1.4× 62 0.5× 24 0.4× 152 2.8× 11 0.2× 39 397
Shiyu Yang China 11 171 1.1× 122 0.9× 12 0.2× 38 0.7× 18 0.4× 38 369
S. S. Yau United States 7 71 0.4× 99 0.7× 36 0.6× 50 0.9× 6 0.1× 18 295
Gholamali C. Shoja Canada 10 86 0.5× 315 2.3× 82 1.4× 85 1.5× 30 0.7× 59 427
Ramakrishna Thurimella United States 11 129 0.8× 240 1.8× 74 1.2× 25 0.5× 20 0.4× 40 432
Ram Keralapura United States 14 355 2.2× 529 3.9× 88 1.5× 100 1.8× 34 0.7× 25 604
Lipyeow Lim United States 12 221 1.4× 216 1.6× 23 0.4× 121 2.2× 18 0.4× 32 361
Kawuu W. Lin Taiwan 14 112 0.7× 183 1.4× 95 1.6× 194 3.5× 54 1.2× 49 482
Alessandro Aldini Italy 13 278 1.7× 220 1.6× 19 0.3× 166 3.0× 14 0.3× 70 520

Countries citing papers authored by Guy Jacobson

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Guy Jacobson

This figure shows the co-authorship network connecting the top 25 collaborators of Guy Jacobson. A scholar is included among the top collaborators of Guy Jacobson 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 Guy Jacobson. Guy Jacobson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Jiang, Xiaopeng, Shuai Zhao, Guy Jacobson, et al.. (2021). Federated Meta-Location Learning for Fine-Grained Location Prediction. 2021 IEEE International Conference on Big Data (Big Data). 446–456. 5 indexed citations
2.
Zhao, Shuai, et al.. (2020). Characterizing and Learning Representation on Customer Contact Journeys in Cellular Services. 3252–3260. 2 indexed citations
3.
Zhao, Shuai, Xiaopeng Jiang, Guy Jacobson, et al.. (2020). Cellular Network Traffic Prediction Incorporating Handover: A Graph Convolutional Approach. 1–9. 42 indexed citations
4.
Wu, Qiong, et al.. (2019). Speaking with Actions - Learning Customer Journey Behavior. 279–286. 11 indexed citations
5.
Mauldin, Michael L., Guy Jacobson, Andrew W. Appel, & Len Hamey. (2018). Rog-O-Matic : a belligerent expert system. KiltHub Repository. 1 indexed citations
6.
Zhao, Shuai, et al.. (2018). Packaging and Sharing Machine Learning Models via the Acumos AI Open Platform. 841–846. 24 indexed citations
7.
Chen, Yingying, Nick Duffield, Patrick Haffner, et al.. (2013). Understanding the complexity of 3G UMTS network performance. 1–9. 8 indexed citations
8.
Chen, Yingying, Nick Duffield, Patrick Haffner, et al.. (2012). Understanding the complexity of 3G UMTS network performance - Modeling, Prediction, and Diagnosis. University of Minnesota Digital Conservancy (University of Minnesota). 1 indexed citations
10.
Jin, Yu, Nick Duffield, Alexandre Gerber, et al.. (2012). Characterizing data usage patterns in a large cellular network. 7–12. 48 indexed citations
11.
Jin, Yu, Nick Duffield, Alexandre Gerber, et al.. (2011). Making sense of customer tickets in cellular networks. 101–105. 12 indexed citations
12.
Jin, Yu, Nick Duffield, Alexandre Gerber, et al.. (2011). Large-scale app-based reporting of customer problems in cellular networks. 13–18. 4 indexed citations
13.
Jacobson, Guy, Balachander Krishnamurthy, Divesh Srivastava, & Dan Suciu. (1998). Focusing search in hierarchical structures with directory sets. 1–9. 10 indexed citations
14.
Jacobson, Guy. (1988). Succinct static data structures. 99 indexed citations
15.
Appel, Andrew W. & Guy Jacobson. (1988). The world's fastest Scrabble program. Communications of the ACM. 31(5). 572–578. 36 indexed citations

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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