Tim Brecht

Tim Brecht

University of Waterloo

H-index: 31

North America-Canada

About Tim Brecht

Tim Brecht, With an exceptional h-index of 31 and a recent h-index of 16 (since 2020), a distinguished researcher at University of Waterloo, specializes in the field of Performance evaluation, Internet Systems Services and Applications, Wireless Networking, Systems Support for the IoT.

His recent articles reflect a diverse array of research interests and contributions to the field:

Analyzing Passing Metrics in Ice Hockey using Puck and Player Tracking Data

Towards a better understanding of learning with multiagent teams

Proceedings of the Linköping Hockey Analytics Conference LINHAC 2023 Research Track

Puck and Player Tracking: Challenges and Opportunities

Identifying completed pass types and improving passing lane models

Are WiFi Backscatter Systems Ready for the Real World?

Exploring the benefits of teams in multiagent learning

The importance of credo in multiagent learning

Tim Brecht Information

University

Position

___

Citations(all)

3067

Citations(since 2020)

763

Cited By

2419

hIndex(all)

31

hIndex(since 2020)

16

i10Index(all)

61

i10Index(since 2020)

25

Email

University Profile Page

Google Scholar

Tim Brecht Skills & Research Interests

Performance evaluation

Internet Systems Services and Applications

Wireless Networking

Systems Support for the IoT

Top articles of Tim Brecht

Analyzing Passing Metrics in Ice Hockey using Puck and Player Tracking Data

2023/6/8

Tim Brecht
Tim Brecht

H-Index: 16

Towards a better understanding of learning with multiagent teams

arXiv preprint arXiv:2306.16205

2023/6/28

Proceedings of the Linköping Hockey Analytics Conference LINHAC 2023 Research Track

2023

Puck and Player Tracking: Challenges and Opportunities

2022/9/6

Tim Brecht
Tim Brecht

H-Index: 16

Identifying completed pass types and improving passing lane models

2022/6/8

Tim Brecht
Tim Brecht

H-Index: 16

Are WiFi Backscatter Systems Ready for the Real World?

GetMobile: Mobile Computing and Communications

2022/5/27

Exploring the benefits of teams in multiagent learning

arXiv preprint arXiv:2205.02328

2022/5/4

Kate Larson
Kate Larson

H-Index: 16

Tim Brecht
Tim Brecht

H-Index: 16

The importance of credo in multiagent learning

arXiv preprint arXiv:2204.07471

2022/4/15

Kate Larson
Kate Larson

H-Index: 16

Tim Brecht
Tim Brecht

H-Index: 16

Demystifying frame aggregation in 802.11 networks: Understanding and approximating optimality

Computer Communications

2021/12/1

Verification: can wifi backscatter replace RFID?

2021/9/9

Passing and pressure metrics in ice hockey

2021/8/21

Tim Brecht
Tim Brecht

H-Index: 16

Can future wireless networks detect fires?

2020/11/18

Neura: Using neural networks to improve wifi rate adaptation

2020/11/16

Tim Brecht
Tim Brecht

H-Index: 16

Ali Abedi
Ali Abedi

H-Index: 1

PNOFA: Practical, near-optimal frame aggregation for modern 802.11 networks

2020/11/16

Witag: Seamless wifi backscatter communication

2020/7/30

RocketBufs: a framework for building efficient, in-memory, message-oriented middleware

2020/7/13

Tim Brecht
Tim Brecht

H-Index: 16

Samer Al-Kiswany
Samer Al-Kiswany

H-Index: 12

See List of Professors in Tim Brecht University(University of Waterloo)

Co-Authors

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