Jacques Resing

67 papers receiving 856 citations

Peers

Jacques Resing
Comparison fields: 5 of 70
  • Management Information Systems 498
  • Management Science and Operations Research 286
  • Industrial and Manufacturing Engineering 180
  • Computer Networks and Communications 271
  • Statistics and Probability 92
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V. G. Kulkarni United States
Linn I. Sennott United States
Hans Daduna Germany
Quan‐Lin Li China
Michael A. Zazanis United States
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Bong Dae Choi South Korea
J. B. G. Frenk Netherlands
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Bruno Gaujal France
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Citations per year

Countries citing papers authored by Jacques Resing

Since Specialization
Citations

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

Fields of papers citing papers by Jacques Resing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jacques Resing, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jacques Resing Line = papers co-authored together Jacques Resing links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993145
2 2018113
3 199555
4 199642
5 199036
6 201234
7 200832
8 200131
9 201528
10 201928
11 200328
12 200527
13 199021
14 199817
15 202116
16 201416
17 201014
18 201414
19 199013
20 200912

About Jacques Resing

Jacques Resing is a scholar working on Management Information Systems, Management Science and Operations Research, Computer Networks and Communications, Electrical and Electronic Engineering and Computational Theory and Mathematics, having authored 69 papers that have together received 933 indexed citations. Recurring topics across this work include Advanced Queuing Theory Analysis (44 papers), Probability and Risk Models (22 papers), Simulation Techniques and Applications (12 papers), Network Traffic and Congestion Control (11 papers), Petri Nets in System Modeling (7 papers), Random Matrices and Applications (6 papers), Advanced Wireless Network Optimization (6 papers) and Transportation Planning and Optimization (5 papers). The work is most often cited by research in Management Information Systems (498 citations), Management Science and Operations Research (286 citations), Industrial and Manufacturing Engineering (180 citations), Computer Networks and Communications (271 citations) and Statistics and Probability (92 citations). Jacques Resing has collaborated with scholars based in Netherlands, France and Finland. Frequent co-authors include Ivo Adan, Onno Boxma, René de Koster, Ivo Adan, Debjit Roy, Shobhit Nigam, Gerard Hooghiemstra, Johan S. H. van Leeuwaarden, Michaël Keane and Stella Kapodistria. Their work appears in journals such as Queueing Systems, Performance Evaluation, Advances in Applied Probability, Probability in the Engineering and Informational Sciences and Journal of Applied Probability.

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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