R.M.J. Heuts

649 total citations
40 papers, 462 citations indexed

About

R.M.J. Heuts is a scholar working on Management Information Systems, Management Science and Operations Research and Industrial and Manufacturing Engineering. According to data from OpenAlex, R.M.J. Heuts has authored 40 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Management Information Systems, 14 papers in Management Science and Operations Research and 11 papers in Industrial and Manufacturing Engineering. Recurrent topics in R.M.J. Heuts's work include Supply Chain and Inventory Management (16 papers), Forecasting Techniques and Applications (11 papers) and Advanced Manufacturing and Logistics Optimization (6 papers). R.M.J. Heuts is often cited by papers focused on Supply Chain and Inventory Management (16 papers), Forecasting Techniques and Applications (11 papers) and Advanced Manufacturing and Logistics Optimization (6 papers). R.M.J. Heuts collaborates with scholars based in Netherlands and Belgium. R.M.J. Heuts's co-authors include L.W.G. Strijbosch, J. Ashayeri, A.G. de Kok, Willem Selen, J.P.C. Kleijnen, Fred Janssen, O. D. Anderson, Matthias Wilhelm, F.A. van der Duyn Schouten and J.J.A. Moors and has published in prestigious journals such as European Journal of Operational Research, Journal of the Operational Research Society and International Journal of Production Research.

In The Last Decade

R.M.J. Heuts

35 papers receiving 411 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R.M.J. Heuts Netherlands 14 236 192 148 80 71 40 462
Robert R. Britney Canada 10 146 0.6× 74 0.4× 68 0.5× 49 0.6× 73 1.0× 14 329
Norman Keith Womer United States 14 113 0.5× 246 1.3× 537 3.6× 44 0.6× 71 1.0× 36 913
Chandrasekhar Das Canada 14 369 1.6× 138 0.7× 129 0.9× 59 0.7× 138 1.9× 32 489
Anand Paul United States 14 185 0.8× 153 0.8× 83 0.6× 19 0.2× 92 1.3× 35 379
Doğan A. Serel Türkiye 10 366 1.6× 119 0.6× 73 0.5× 84 1.1× 262 3.7× 17 478
Lorenzo Peccati Italy 13 142 0.6× 148 0.8× 36 0.2× 71 0.9× 139 2.0× 29 495
John M. Charnes United States 15 63 0.3× 149 0.8× 117 0.8× 51 0.6× 107 1.5× 38 602
Seyed Gholamreza Jalali Naini Iran 12 115 0.5× 74 0.4× 87 0.6× 36 0.5× 188 2.6× 26 478
Joline Uichanco United States 12 362 1.5× 287 1.5× 96 0.6× 28 0.3× 79 1.1× 24 644
James L. Zydiak United States 11 360 1.5× 237 1.2× 109 0.7× 13 0.2× 215 3.0× 23 568

Countries citing papers authored by R.M.J. Heuts

Since Specialization
Citations

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

Fields of papers citing papers by R.M.J. Heuts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.M.J. Heuts. 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.M.J. Heuts. The network helps show where R.M.J. Heuts may publish in the future.

Co-authorship network of co-authors of R.M.J. Heuts

This figure shows the co-authorship network connecting the top 25 collaborators of R.M.J. Heuts. A scholar is included among the top collaborators of R.M.J. Heuts 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.M.J. Heuts. R.M.J. Heuts 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.
Strijbosch, L.W.G., R.M.J. Heuts, & J.J.A. Moors. (2007). Hierarchical estimation as a basis for hierarchical forecasting. IMA Journal of Management Mathematics. 19(2). 193–205. 9 indexed citations
2.
Strijbosch, L.W.G., et al.. (2000). A combined forecast—inventory control procedure for spare parts. Journal of the Operational Research Society. 51(10). 1184–1192. 64 indexed citations
3.
Strijbosch, L.W.G., et al.. (1998). Improved Spare Parts Inventory Management : A Case Study. Data Archiving and Networked Services (DANS). 5 indexed citations
4.
Janssen, Fred, R.M.J. Heuts, & A.G. de Kok. (1998). On the (R, s, Q) inventory model when demand is modelled as a compound Bernoulli process. European Journal of Operational Research. 104(3). 423–436. 42 indexed citations
5.
Moors, J.J.A., et al.. (1996). Characterizing systems of distributions by quantile measures. Statistica Neerlandica. 50(3). 417–430. 13 indexed citations
6.
Schouten, F.A. van der Duyn, et al.. (1994). The Value of Supplier Information to Improve Management of a Retailer's Inventory. Decision Sciences. 25(1). 1–14. 17 indexed citations
7.
Heuts, R.M.J., et al.. (1992). Analysis and comparison of two strategies for multi-item inventory systems with joint replenishment costs. European Journal of Operational Research. 59(3). 405–412. 40 indexed citations
8.
Heuts, R.M.J., Hans‐Peter Seidel, & Willem Selen. (1992). A comparison of two lot sizing-sequencing heuristics for the process industry. European Journal of Operational Research. 59(3). 413–424. 11 indexed citations
9.
Strijbosch, L.W.G. & R.M.J. Heuts. (1991). Investigating several alternatives for estimating the compound lead time demand in an (s,Q) inventory model. Data Archiving and Networked Services (DANS). 1 indexed citations
10.
Heuts, R.M.J., et al.. (1990). Analysis and comparison of two strategies for multi-item inventory systems with joint replenishment costs. Data Archiving and Networked Services (DANS). 1 indexed citations
11.
Selen, Willem & R.M.J. Heuts. (1990). Operational production planning in a chemical manufacturing environment. European Journal of Operational Research. 45(1). 38–46. 19 indexed citations
12.
Heuts, R.M.J., et al.. (1989). Comparison of automatic monitoring systems in automatic forecasting. research memorandum. 1 indexed citations
13.
Gooijer, Jan G. De & R.M.J. Heuts. (1987). Higher order moments of bilinear time series processes with symmetrically distributed errors. research memorandum. 2 indexed citations
14.
Heuts, R.M.J., et al.. (1985). The quality of some approximation formulas in a continuous review inventory model. Data Archiving and Networked Services (DANS). 1 indexed citations
15.
Heuts, R.M.J.. (1982). The use of non-linear transformations in ARIMA-models when the data are non-Gaussian distributed. RePEc: Research Papers in Economics. 1 indexed citations
16.
Gooijer, Jan G. De & R.M.J. Heuts. (1981). The Corner Method: An Investigation of an Order Discrimination Procedure for General ARMA Processes. Journal of the Operational Research Society. 32(11). 1039–1042. 8 indexed citations
17.
Heuts, R.M.J.. (1978). Portfolio models and time series analysis. Other publications TiSEM. 3 indexed citations
18.
Heuts, R.M.J., et al.. (1977). A Monte Carlo study to obtain the percentage points of some goodness of fit tests in testing normality, when observations satisfy a certain low order ARMA-scheme. RePEc: Research Papers in Economics. 2 indexed citations
20.
Heuts, R.M.J., et al.. (1972). A numerical comparison among some algorithms for unconstrained non-linear function minimization. Data Archiving and Networked Services (DANS). 34. 1 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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