Jonas Höchst

About Jonas Höchst

Jonas Höchst, With an exceptional h-index of 10 and a recent h-index of 9 (since 2020), a distinguished researcher at Philipps-Universität Marburg, specializes in the field of Adaptive Systems, Software-defined Networking, Movement Ecology, Behavioral Ecology.

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

Nature 4.0: A networked sensor system for integrated biodiversity monitoring

Energy-efficient Broadcast Trees for Decentralized Data Dissemination in Wireless Networks

Energy-Efficient Decentralized Broadcasting in Wireless Multi-Hop Networks

Mobile device-to-device communication for crisis scenarios using low-cost lora modems

Ein automatisiertes System zur Erfassung der Signale von Radiosendern und seine Anwendung im Rahmen einer Telemetriestudie an Austernfischerküken.

Classifying the activity states of small vertebrates using automated VHF telemetry

Smart Distributed Sensing in Adaptive Wireless Networks

ForestEdge: Unobtrusive Mechanism Interception in Environmental Monitoring

Jonas Höchst Information

University

Position

Germany

Citations(all)

386

Citations(since 2020)

365

Cited By

125

hIndex(all)

10

hIndex(since 2020)

9

i10Index(all)

10

i10Index(since 2020)

9

Email

University Profile Page

Google Scholar

Jonas Höchst Skills & Research Interests

Adaptive Systems

Software-defined Networking

Movement Ecology

Behavioral Ecology

Top articles of Jonas Höchst

Energy-efficient Broadcast Trees for Decentralized Data Dissemination in Wireless Networks

2023/10/2

Energy-Efficient Decentralized Broadcasting in Wireless Multi-Hop Networks

Sensors

2023/8/25

Mobile device-to-device communication for crisis scenarios using low-cost lora modems

2023/4/1

Ein automatisiertes System zur Erfassung der Signale von Radiosendern und seine Anwendung im Rahmen einer Telemetriestudie an Austernfischerküken.

Vogelwarte

2023

Patrick Lampe
Patrick Lampe

H-Index: 4

Jonas Höchst
Jonas Höchst

H-Index: 5

Classifying the activity states of small vertebrates using automated VHF telemetry

Methods in ecology and evolution

2023/1

Smart Distributed Sensing in Adaptive Wireless Networks

2022/10

Jonas Höchst
Jonas Höchst

H-Index: 5

ForestEdge: Unobtrusive Mechanism Interception in Environmental Monitoring

2022/9/26

ProgDTN: Programmable disruption-tolerant networking

2022/5/17

Bird@Edge: Bird Species Recognition at the Edge

2022/5/17

Energy-efficient Mobile Sensor Data Offloading via WiFi using LoRa-based Connectivity Estimations

2021

tRackIT OS: Open-source Software for Reliable VHF Wildlife Tracking

51. Jahrestagung der Gesellschaft für Informatik, Digitale Kulturen, INFORMATIK 2021, Berlin, Germany

2021/9

Repurposing CPAP machines as stripped-down ventilators

Scientific Reports

2021/6/9

BatRack: An open‐source multi‐sensor device for wildlife research

Methods in Ecology and Evolution

2021/10

Novel Tools for Automated Activity Monitoring of Forest Bird Communities

2020/12/14

Efficient Complex Event Processing in Information-centric Networking at the Edge

arXiv preprint arXiv:2012.05070

2020/12/9

PIMOD: A tool for configuring single-board computer operating system images

2020/10/29

Can CPAP machines be repurposed to solve the ventilator shortage?

2020/9/29

LoRa-based Device-to-Device Smartphone Communication for Crisis Scenarios

2020/5

See List of Professors in Jonas Höchst University(Philipps-Universität Marburg)

Co-Authors

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