Gerard Gaalman

93 papers receiving 1.8k citations

Peers

Gerard Gaalman
Comparison fields: 5 of 85
  • Industrial and Manufacturing Engineering 1.3k
  • Management Information Systems 834
  • Management Science and Operations Research 406
  • Strategy and Management 302
  • Management of Technology and Innovation 157
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Citations per field
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Citations per year

Countries citing papers authored by Gerard Gaalman

Since Specialization
Citations

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

Fields of papers citing papers by Gerard Gaalman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerard Gaalman

This figure shows the co-authorship network connecting the top 25 collaborators of Gerard Gaalman. A scholar is included among the top collaborators of Gerard Gaalman 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 Gerard Gaalman. Gerard Gaalman 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 11
3
Bullwhip behaviour in the order-up to policy with ARIMA demand
4
4
Modeling expected inventory order crossovers
3
5 19
6 5
7 46
8 65
9
A DECISION AID FOR MAKE-TO-ORDER AND MAKE-TO-STOCK CLASSIFICATION IN FOOD PROCESSING INDUSTRIES
6
10 26
11
Investigation of an order-up-to policy with condition expected forecasting and arbitrary lead-times
2
12
State space investigation of bullwhip with arbitrary demand processes
1
13
Assignment flexibility in a cellualr manufacturing system - Machine pooling versus Labor chaining
2
14 47
15
ELSP with combined make-to-order and make-to-stock: practical challenges in food processing industry
4
16 10
17
Production and Operations Management Aspects of Cellular Manufacturing - a Survey of Users
10
18 4
19 24
20 13

About Gerard Gaalman

Gerard Gaalman is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems and Management Science and Operations Research, having authored 97 papers that have together received 1.9k indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (51 papers), Advanced Manufacturing and Logistics Optimization (32 papers) and Supply Chain and Inventory Management (27 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (1.3k citations), Management Information Systems (834 citations) and Management Science and Operations Research (406 citations). Gerard Gaalman has collaborated with scholars based in Netherlands, United Kingdom and Japan. Frequent co-authors include Martin Land, Dirk Pieter van Donk, Chetan Soman, Stephen Michael Disney, Jasper Veldman, Jannes Slomp, Jos A.C. Bokhorst, Wout van Wezel, Mark Stevenson and Qinyun Li. Their work appears in journals such as IEEE Transactions on Automatic Control, Management Science and Journal of Cleaner Production.

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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