Hal Burch

905 citations
12 papers · 685 · h-index 6

Impact in

Papers in

    • Network Traffic and Congestion Control 4
    • Network Security and Intrusion Detection 3
    • Wireless Networks and Protocols 2
    • Software-Defined Networks and 5G 2
    • Internet Traffic Analysis and Secure E-voting 3
    • Artificial Intelligence in Games 1

Hal Burch

10 papers receiving 594 citations

Peers

Hal Burch
Comparison fields: 5 of 46
  • Hardware and Architecture 230
  • Computer Networks and Communications 597
  • Signal Processing 143
  • Artificial Intelligence 430
  • Statistical and Nonlinear Physics 68
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Ken Keys United States
Bill Cheswick United States
Mike Fisk United States
Young Hyun United States
Ram Keralapura United States
Allison Mankin United States
Adel El‐Atawy United States
Bishwaranjan Bhattacharjee United States
Jinliang Fan United States
Alessandro Roncato Italy
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Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Hal Burch

Since Specialization
Citations

This map shows the geographic impact of Hal Burch'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 Hal Burch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hal Burch more than expected).

Fields of papers citing papers by Hal Burch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hal Burch. 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 Hal Burch. The network helps show where Hal Burch may publish in the future.

Co-authors

The 9 scholars most cited alongside Hal Burch, 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 Hal Burch Line = papers co-authored together Hal Burch links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Tracing Anonymous Packets to Their Approximate Source
2000379
2
Mapping and visualizing the internet
2000135
3 1999128
4 200117
5 200510
6 20018
7
Measuring an ip network in situ
20054
8 20022
9
Persistent triangulations Journal of Functional Programming.
20011
10 20181
11 20180
12 20080

About Hal Burch

Hal Burch is a scholar working on Computer Networks and Communications, Artificial Intelligence, Hardware and Architecture, Information Systems and Computational Theory and Mathematics, having authored 12 papers that have together received 685 indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (4 papers), Network Packet Processing and Optimization (3 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Network Security and Intrusion Detection (3 papers), Wireless Networks and Protocols (2 papers), Software-Defined Networks and 5G (2 papers), Artificial Intelligence in Games (1 paper) and VLSI and FPGA Design Techniques (1 paper). The work is most often cited by research in Hardware and Architecture (230 citations), Computer Networks and Communications (597 citations), Signal Processing (143 citations), Artificial Intelligence (430 citations) and Statistical and Nonlinear Physics (68 citations). Hal Burch has collaborated with scholars based in United States and Canada. Frequent co-authors include Bill Cheswick, Gary L. Miller, Guy E. Blelloch, Karl Crary, Noel J. Walkington, Robert Harper, Dawn Song, Fikret Erçal and Bruce M. Maggs. Their work appears in journals such as Journal of Functional Programming, Computer, ACM SIGMETRICS Performance Evaluation Review, IEEE Internet Computing and Lecture notes in electrical engineering.

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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