Jason B. Ernst

883 total citations · 1 hit paper
24 papers, 460 citations indexed

About

Jason B. Ernst is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Jason B. Ernst has authored 24 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Networks and Communications, 12 papers in Electrical and Electronic Engineering and 3 papers in Artificial Intelligence. Recurrent topics in Jason B. Ernst's work include Mobile Ad Hoc Networks (12 papers), Wireless Networks and Protocols (12 papers) and Advanced Wireless Network Optimization (10 papers). Jason B. Ernst is often cited by papers focused on Mobile Ad Hoc Networks (12 papers), Wireless Networks and Protocols (12 papers) and Advanced Wireless Network Optimization (10 papers). Jason B. Ernst collaborates with scholars based in Canada, Portugal and United States. Jason B. Ernst's co-authors include Victor C. M. Leung, Wei Cai, Zhen Hong, Chen Feng, Zehua Wang, Joel J. P. C. Rodrigues, Stefan C. Kremer, Mieso K. Denko, Joseph Alexander Brown and Anna T. Ławniczak and has published in prestigious journals such as IEEE Access, Journal of Computer and System Sciences and Journal of Ambient Intelligence and Humanized Computing.

In The Last Decade

Jason B. Ernst

24 papers receiving 441 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Decentralized Applications: The Blockchain-Empowered Software System

2018 290 citations Wei Cai, Zehua Wang et al. IEEE Access profile →

Peers

Jason B. Ernst

IS

CNC

EEE

AI

MIS

Robert Elsenpeter

Toby J. Velte United States

Anthony Velte

Igor Nai-Fovino Italy

Seong-Kyu Kim South Korea

Do van Thanh Norway

Mohammad Dabbagh Malaysia

Morgen E. Peck United States

Marco Conoscenti Italy

Yanjun Zuo United States

Robert Elsenpeter

Jason B. Ernst

308 ×1.2

IS

226 ×1.0

CNC

81 ×0.9

EEE

89 ×1.3

AI

50 ×0.9

MIS

Citations per year, relative to Jason B. Ernst Jason B. Ernst (= 1×) peers Robert Elsenpeter

Countries citing papers authored by Jason B. Ernst

Since Specialization

Citations

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

Fields of papers citing papers by Jason B. Ernst

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason B. Ernst. 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 Jason B. Ernst. The network helps show where Jason B. Ernst may publish in the future.

Co-authorship network of co-authors of Jason B. Ernst

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Kunze, Herb, et al.. (2023). A Novel Cross-Layer Adaptive Fuzzy-Based Ad Hoc On-Demand Distance Vector Routing Protocol for MANETs. IEEE Access. 11. 50805–50822. 14 indexed citations

2.

Safari, Fatemeh, et al.. (2023). The Diverse Technology of MANETs: A Survey of Applications and Challenges. International Journal of Future Computer and Communication. 37–48. 10 indexed citations

3.

Kunze, Herb, et al.. (2023). A Review of AI-based MANET Routing Protocols. 43–50. 4 indexed citations

4.

Cai, Wei, Zehua Wang, Jason B. Ernst, et al.. (2018). Decentralized Applications: The Blockchain-Empowered Software System. IEEE Access. 6. 53019–53033. 290 indexed citations breakdown →

5.

Ernst, Jason B., Stefan C. Kremer, & Joel J. P. C. Rodrigues. (2015). Heterogeneous wireless network RAT selection with multiple operators and service contracts. 3. 6011–6017. 2 indexed citations

6.

Ernst, Jason B., Stefan C. Kremer, & Joel J. P. C. Rodrigues. (2014). A Wi-Fi Simulation Model Which Supports Channel Scanning across Multiple Non-overlapping Channels in NS3. 268–275. 3 indexed citations

7.

Ławniczak, Anna T., et al.. (2014). Biomimicry based Learning Outcomes of Simple Cognitive Agents. Procedia Computer Science. 36. 508–514. 5 indexed citations

8.

Ernst, Jason B., Stefan C. Kremer, & Joel J. P. C. Rodrigues. (2014). A utility based access point selection method for IEEE 802.11 wireless networks with enhanced quality of experience. 2363–2368. 17 indexed citations

9.

Ławniczak, Anna T., et al.. (2014). Naïve creature learns to cross a highway in a simulated CA-like environment. 5. 30–37. 7 indexed citations

10.

Ernst, Jason B., Stefan C. Kremer, & Joel J. P. C. Rodrigues. (2014). A survey of QoS/QoE mechanisms in heterogeneous wireless networks. Physical Communication. 13. 61–72. 29 indexed citations

11.

Ławniczak, Anna T., et al.. (2014). Naïve Creature with Fear and Desire Learning to Cross a Highway. Procedia Computer Science. 29. 343–353. 1 indexed citations

12.

Ernst, Jason B. & Joseph Alexander Brown. (2013). Performance evaluation of mixed-bias scheduling schemes for wireless mesh networks. 3(1). 22–22. 12 indexed citations

13.

Ławniczak, Anna T., et al.. (2013). Simulated Naïve Creature Crossing a Highway. Procedia Computer Science. 18. 2611–2614. 9 indexed citations

14.

Ernst, Jason B., Nidal Nasser, & Joel J. P. C. Rodrigues. (2012). Co-channel interference modelling between RATs in heterogeneous wireless networks. 5321–5325. 6 indexed citations

15.

Ernst, Jason B. & Joseph Alexander Brown. (2012). Co-existence of Evolutionary Mixed-Bias Scheduling with Quiescence and IEEE 802.11 DCF for Wireless Mesh Networks. 3390. 678–683. 2 indexed citations

16.

Ernst, Jason B. & Mieso K. Denko. (2010). The design and evaluation of fair scheduling in wireless mesh networks. Journal of Computer and System Sciences. 77(4). 652–664. 12 indexed citations

17.

Ernst, Jason B. & Mieso K. Denko. (2010). Cross-Layer Mixed Bias Scheduling for Wireless Mesh Networks. 1–5. 6 indexed citations

18.

Ernst, Jason B. & Mieso K. Denko. (2009). A review of cross-layer scheduling and resource allocation for wireless mesh networks. 24. 776–781. 2 indexed citations

19.

Ernst, Jason B. & Mieso K. Denko. (2009). Fair Scheduling with Multiple Gateways in Wireless Mesh Networks. 106–112. 7 indexed citations

20.

Denko, Mieso K., et al.. (2009). Data ubiquity in autonomic wireless mesh networks. Journal of Ambient Intelligence and Humanized Computing. 1(1). 3–13. 5 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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