John Schormans

1.2k total citations
102 papers, 764 citations indexed

About

John Schormans is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Management Information Systems. According to data from OpenAlex, John Schormans has authored 102 papers receiving a total of 764 indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Computer Networks and Communications, 62 papers in Electrical and Electronic Engineering and 27 papers in Management Information Systems. Recurrent topics in John Schormans's work include Network Traffic and Congestion Control (49 papers), Advanced Wireless Network Optimization (32 papers) and Advanced Queuing Theory Analysis (27 papers). John Schormans is often cited by papers focused on Network Traffic and Congestion Control (49 papers), Advanced Wireless Network Optimization (32 papers) and Advanced Queuing Theory Analysis (27 papers). John Schormans collaborates with scholars based in United Kingdom, China and Spain. John Schormans's co-authors include J.M. Pitts, Kok Keong Chai, Laurie Cuthbert, Lexi Xu, Yue Chen, Jonathan Loo, Yanru Wang, Steven G. Gilmour, E.M. Scharf and Yue Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Technometrics and IEEE Access.

In The Last Decade

John Schormans

96 papers receiving 732 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Schormans United Kingdom 14 550 498 107 99 62 102 764
Sridhar Machiraju United States 15 631 1.1× 411 0.8× 53 0.5× 31 0.3× 48 0.8× 22 866
Srinivas Shakkottai United States 7 670 1.2× 355 0.7× 34 0.3× 32 0.3× 17 0.3× 8 762
Μιλτιάδης Αναγνώστου Greece 15 519 0.9× 265 0.5× 62 0.6× 16 0.2× 153 2.5× 88 696
Zhu Ji United States 12 666 1.2× 539 1.1× 71 0.7× 57 0.6× 74 1.2× 17 866
I. Gopal United States 18 921 1.7× 427 0.9× 84 0.8× 14 0.1× 19 0.3× 40 1.0k
M. Chiang United States 16 1.1k 2.0× 887 1.8× 20 0.2× 51 0.5× 16 0.3× 26 1.3k
M.U. Çağlayan Türkiye 14 290 0.5× 167 0.3× 32 0.3× 63 0.6× 17 0.3× 53 526
Kimmo Raatikainen Finland 14 593 1.1× 249 0.5× 23 0.2× 14 0.1× 97 1.6× 62 732
Mayank Sharma United States 12 245 0.4× 218 0.4× 87 0.8× 10 0.1× 39 0.6× 50 590
Sergey Gorinsky United States 17 625 1.1× 174 0.3× 21 0.2× 61 0.6× 50 0.8× 53 840

Countries citing papers authored by John Schormans

Since Specialization
Citations

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

Fields of papers citing papers by John Schormans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Schormans

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

All Works

20 of 20 papers shown
1.
Schormans, John, et al.. (2023). Significance of Cross-Correlated QoS Configurations for Validating the Subjective and Objective QoE of Cloud Gaming Applications. Future Internet. 15(2). 64–64. 6 indexed citations
2.
Schormans, John, et al.. (2020). Proximity as a Service for the Use Case of Access Enhancement Via Cellular Network-Assisted Mobile Device-to-Device. IEEE Access. 8. 31562–31573. 16 indexed citations
3.
Chen, Yue, et al.. (2018). User Experience Aware Active Queue Management in Cellular Networks. Journal of Communications. 588–593. 1 indexed citations
4.
Chen, Yue, et al.. (2017). Channel quality aware active queue management in cellular networks. 183–188. 1 indexed citations
5.
Chai, Kok Keong, et al.. (2017). QoS-Aware Energy-Efficient Cooperative Scheme for Cluster-Based IoT Systems. IEEE Systems Journal. 11(3). 1447–1455. 43 indexed citations
6.
Huang, Gang, et al.. (2017). CAP: A ContAct based Proximity service via opportunistic device-to-device relay. 337–342. 2 indexed citations
8.
Gilmour, Steven G., et al.. (2014). Utility based framework for optimal network measurement. IET Networks. 4(1). 10–20. 1 indexed citations
9.
Xu, Lexi, Yue Chen, Kok Keong Chai, et al.. (2013). User Relay Assisted Traffic Shifting in LTE-Advanced Systems. ePrints Soton (University of Southampton). 1–6. 40 indexed citations
10.
Schormans, John, et al.. (2013). Evaluating QoE in Cognitive Radio Networks for Improved Network and User Performance. IEEE Communications Letters. 17(12). 2376–2379. 3 indexed citations
11.
Xu, Lexi, Yue Chen, Kok Keong Chai, et al.. (2012). Cooperative load balancing for OFDMA cellular networks. European Wireless Conference. 1–7. 19 indexed citations
12.
Xu, Lexi, Yue Chen, John Schormans, Laurie Cuthbert, & Tiankui Zhang. (2011). User-vote assisted self-organizing load balancing for OFDMA cellular systems. 217–221. 29 indexed citations
13.
Lu, Shaowen & John Schormans. (2008). Time-stepped approach for accelerated simulation of mobile ad hoc networks. IET Communications. 2(5). 609–620.
14.
Pitts, J.M. & John Schormans. (2006). Configuring IP QoS Mechanisms for Graceful Degradation of Real-Time Services. 1–7. 5 indexed citations
15.
Schormans, John, et al.. (2003). Measurement-based end to end latency performance prediction for SLA verification. 412–417. 4 indexed citations
16.
Schormans, John, et al.. (2003). Accurate decay rate prediction for burst-scale queueing in packet buffers. Electronics Letters. 39(2). 253–254. 2 indexed citations
17.
Schormans, John & J.M. Pitts. (2002). New models for admission control of priority traffic in ATM networks. 1. 206–210.
18.
Schormans, John & J.M. Pitts. (1998). Decay rate (ER) modelling of G/D/1 queue, and resultsfor ATMtelecommunications. Electronics Letters. 34(10). 943–945. 6 indexed citations
19.
Pitts, J.M. & John Schormans. (1996). Introduction to ATM design and performance: with applications analysis software. CERN Document Server (European Organization for Nuclear Research). 30 indexed citations
20.
Schormans, John, et al.. (1996). Performance, interarrival, and correlation analysis of four-phase MMPP model in ATM-based B-ISDN. IEE Proceedings - Communications. 143(6). 363–363. 3 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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