R.D. van der Mei

54 papers receiving 455 citations

Peers

R.D. van der Mei
Comparison fields: 5 of 35
  • Management Information Systems 393
  • Computer Networks and Communications 271
  • Electrical and Electronic Engineering 157
  • Transportation 139
  • Management Science and Operations Research 98
Replace E.M.M. Winands with:
E.M.M. Winands Netherlands
Tuan Phung-Duc Japan
Martin Eisenberg United States
R. Núñez Queija Netherlands
Yonatan Levy United States
Ram Chakka United Kingdom
Alexandre Brandwajn France
Bart Steyaert Belgium
Valentina Klimenok Belarus
P. P. Bocharov Russia
R.D. van der Mei relative to E.M.M. Winands Netherlands E.M.M. Winands's profile →
Citations per field
00.5×1.5×1.8×
E.M.M. Winands · 1×
Citations per year

Countries citing papers authored by R.D. van der Mei

Since Specialization
Citations

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

Fields of papers citing papers by R.D. van der Mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.D. van der Mei. 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 R.D. van der Mei. The network helps show where R.D. van der Mei may publish in the future.

Co-authorship network of co-authors of R.D. van der Mei

This figure shows the co-authorship network connecting the top 25 collaborators of R.D. van der Mei. A scholar is included among the top collaborators of R.D. van der Mei 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 R.D. van der Mei. R.D. van der Mei 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
#WorkIndexed citations
1 1
2 0
3 1
4 5
5 5
6
Analysis of a two-layered network with correlated queues by means of the power-series algorithm
2
7 3
8 3
9 14
10 1
11 21
12
Middleware performance: a quantitative modelling approach
8
13 65
14 18
15 15
16 3
17 14
18
Waiting-time approximations for multiple-server polling systems
1
19
Analysis of multiple-server polling systems by means of the power-series algorithm
1
20
Optimization of polling systems with Bernoulli schedules
2

About R.D. van der Mei

R.D. van der Mei is a scholar working on Management Information Systems, Transportation and Computer Networks and Communications, having authored 58 papers that have together received 509 indexed citations. Recurring topics across this work include Advanced Queuing Theory Analysis (47 papers), Network Traffic and Congestion Control (26 papers) and Transportation Planning and Optimization (20 papers). The work is most often cited by research in Management Information Systems (393 citations), Transportation (139 citations) and Computer Networks and Communications (271 citations). R.D. van der Mei has collaborated with scholars based in Netherlands, United States and Israel. Frequent co-authors include Tava Lennon Olsen, E.M.M. Winands, Hanoch Levy, R. Hariharan, J.P.C. Blanc, S.C. Borst, Sem Borst, Sandjai Bhulai, Jacques Resing and René Bekker. Their work appears in journals such as Computers & Operations Research, Journal of Pharmaceutical and Biomedical Analysis and Annals of Operations Research.

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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