J.L. van den Berg

560 total citations
35 papers, 268 citations indexed

About

J.L. van den Berg is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Management Information Systems. According to data from OpenAlex, J.L. van den Berg has authored 35 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Networks and Communications, 22 papers in Electrical and Electronic Engineering and 12 papers in Management Information Systems. Recurrent topics in J.L. van den Berg's work include Advanced MIMO Systems Optimization (12 papers), Advanced Wireless Network Optimization (12 papers) and Advanced Queuing Theory Analysis (11 papers). J.L. van den Berg is often cited by papers focused on Advanced MIMO Systems Optimization (12 papers), Advanced Wireless Network Optimization (12 papers) and Advanced Queuing Theory Analysis (11 papers). J.L. van den Berg collaborates with scholars based in Netherlands. J.L. van den Berg's co-authors include Onno Boxma, Michel Mandjes, Remco Litjens, R. Núñez Queija, Geert Heijenk, W.P. Groenendijk, Desislava Dimitrova, R.D. van der Mei, Mehdi Amirijoo and Lars Christoph Schmelz and has published in prestigious journals such as IEEE Transactions on Vehicular Technology, Journal of the Royal Statistical Society Series A (Statistics in Society) and Queueing Systems.

In The Last Decade

J.L. van den Berg

32 papers receiving 240 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J.L. van den Berg Netherlands 9 184 165 114 30 16 35 268
Gang Uk Hwang South Korea 11 218 1.2× 180 1.1× 111 1.0× 35 1.2× 4 0.3× 37 300
Latha Kant United States 11 247 1.3× 114 0.7× 19 0.2× 24 0.8× 20 1.3× 44 315
Che Soong Kim South Korea 11 126 0.7× 99 0.6× 226 2.0× 103 3.4× 4 0.3× 24 268
Thomas Begin France 10 232 1.3× 120 0.7× 54 0.5× 15 0.5× 68 4.3× 35 303
D. Logothetis United States 9 109 0.6× 107 0.6× 83 0.7× 9 0.3× 11 0.7× 19 240
Konosuke Kawashima Japan 7 300 1.6× 206 1.2× 123 1.1× 7 0.2× 20 1.3× 25 353
R.H. Cardwell United States 7 245 1.3× 240 1.5× 34 0.3× 7 0.2× 5 0.3× 14 362
Zsehong Tsai Taiwan 10 241 1.3× 189 1.1× 38 0.3× 17 0.6× 27 1.7× 60 293
Evsey Morozov Russia 11 132 0.7× 122 0.7× 281 2.5× 110 3.7× 19 1.2× 60 346
Peerapol Tinnakornsrisuphap United States 9 343 1.9× 236 1.4× 62 0.5× 4 0.1× 11 0.7× 24 409

Countries citing papers authored by J.L. van den Berg

Since Specialization
Citations

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

Fields of papers citing papers by J.L. van den Berg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.L. van den Berg. 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 J.L. van den Berg. The network helps show where J.L. van den Berg may publish in the future.

Co-authorship network of co-authors of J.L. van den Berg

This figure shows the co-authorship network connecting the top 25 collaborators of J.L. van den Berg. A scholar is included among the top collaborators of J.L. van den Berg 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 J.L. van den Berg. J.L. van den Berg 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.
Berg, J.L. van den, et al.. (2023). Analytical Approach for Optimal Deployment of Drone Base Stations in Cellular Networks. University of Twente Research Information. 6591–6596. 1 indexed citations
2.
Berg, J.L. van den, et al.. (2021). Drone-Assisted Cellular Networks: Optimal Positioning and Load Management. TU/e Research Portal. 6 indexed citations
3.
Berg, J.L. van den, et al.. (2012). Modeling and Evaluation of LTE in Intelligent Transportation Systems. University of Twente Research Information. 48–59. 26 indexed citations
4.
Berg, J.L. van den, et al.. (2012). Impact of relay station positioning on LTE uplink performance at flow level. University of Twente Research Information. 1586–1592. 3 indexed citations
5.
Wolterink, Wouter Klein, Geert Heijenk, & J.L. van den Berg. (2012). An analytical model for the performance of geographical multi-hop broadcast. University of Twente Research Information. 29. 242–249. 2 indexed citations
6.
Dimitrova, Desislava, et al.. (2010). Sensitivity Analysis of the Optimal Parameter Settings of an LTE Packet Scheduler. University of Twente Research Information. 1–6. 1 indexed citations
7.
Dimitrova, Desislava, et al.. (2010). Scheduling strategies for LTE uplink with flow behaviour analysis. University of Twente Research Information. 15–26. 9 indexed citations
8.
Dimitrova, Desislava, J.L. van den Berg, & Geert Heijenk. (2009). Analyzing the impact of relay station characteristics on uplink performance in cellular network. University of Twente Research Information. 31–42. 1 indexed citations
9.
Schmelz, Lars Christoph, J.L. van den Berg, Remco Litjens, et al.. (2009). Self-organisation in wireless networks: use cases and their interrelations. 27 indexed citations
10.
Dimitrova, Desislava, Geert Heijenk, & J.L. van den Berg. (2009). Performance of relay-enabled uplink in cellular networks - a flow level analysis. University of Twente Research Information. 1–8. 1 indexed citations
11.
Mandjes, Michel, et al.. (2008). A feedback fluid queue with two congestion control thresholds. Mathematical Methods of Operations Research. 70(1). 149–169. 11 indexed citations
12.
Dimitrova, Desislava, Geert Heijenk, J.L. van den Berg, & Remco Litjens. (2008). Impact of Inter-cell Interference on Flow Level Performance of Scheduling Schemes for the UMTS EUL. University of Twente Research Information. 106–112. 2 indexed citations
13.
Berg, J.L. van den, Richard J. Boucherie, Sonia Heemstra de Groot, et al.. (2006). Architectural and QoS Aspects of Personal Networks. 9. 1–3. 1 indexed citations
14.
Mei, R.D. van der, et al.. (2005). Sojourn time approximations in queueing networks with feedback. Performance Evaluation. 63(8). 743–758. 7 indexed citations
15.
Pras, Aiko, et al.. (2004). Burstiness predictions based on rough network traffic measurements. UvA-DARE (University of Amsterdam). 1 indexed citations
16.
Queija, R. Núñez, J.L. van den Berg, & Michel Mandjes. (1999). Performance evaluation of strategies for integration of elastic and stream traffic. 9903(3). 1–17. 37 indexed citations
17.
Berg, J.L. van den & Onno Boxma. (1993). Sojourn times in feedback and processor sharing queues. 97. 1467–1475. 7 indexed citations
18.
Berg, J.L. van den, et al.. (1992). Cell loss performance of the Gauss ATM switch. com 35. 717–726 vol.2. 4 indexed citations
19.
Berg, J.L. van den & Onno Boxma. (1991). TheM/G/1 queue with processor sharing and its relation to a feedback queue. Queueing Systems. 9(4). 365–401. 46 indexed citations
20.
Berg, J.L. van den, Onno Boxma, & W.P. Groenendijk. (1989). Sojourn times in the m/g/1 queue with deterministic feedback. Communications in Statistics Stochastic Models. 5(1). 115–129. 17 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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