Antonio Arreola‐Risa

662 total citations
22 papers, 528 citations indexed

About

Antonio Arreola‐Risa is a scholar working on Management Information Systems, Industrial and Manufacturing Engineering and Management Science and Operations Research. According to data from OpenAlex, Antonio Arreola‐Risa has authored 22 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Management Information Systems, 10 papers in Industrial and Manufacturing Engineering and 6 papers in Management Science and Operations Research. Recurrent topics in Antonio Arreola‐Risa's work include Supply Chain and Inventory Management (17 papers), Scheduling and Optimization Algorithms (8 papers) and Advanced Queuing Theory Analysis (7 papers). Antonio Arreola‐Risa is often cited by papers focused on Supply Chain and Inventory Management (17 papers), Scheduling and Optimization Algorithms (8 papers) and Advanced Queuing Theory Analysis (7 papers). Antonio Arreola‐Risa collaborates with scholars based in United States, China and Spain. Antonio Arreola‐Risa's co-authors include Gregory A. DeCroix, Emre Berk, Kenneth H. Doerr, Víctor Giménez, Bruce Faaland, Thomas Schmitt, Matthew F. Keblis and Zhen Tan and has published in prestigious journals such as Management Science, European Journal of Operational Research and International Journal of Production Economics.

In The Last Decade

Antonio Arreola‐Risa

20 papers receiving 498 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Antonio Arreola‐Risa United States 11 422 234 170 88 31 22 528
Chi Chiang Taiwan 15 457 1.1× 202 0.9× 235 1.4× 82 0.9× 53 1.7× 24 573
Ki Ling Cheung Hong Kong 12 450 1.1× 266 1.1× 148 0.9× 83 0.9× 90 2.9× 22 572
Seung‐Lae Kim United States 11 544 1.3× 419 1.8× 215 1.3× 68 0.8× 46 1.5× 20 632
Doğan A. Serel Türkiye 10 366 0.9× 262 1.1× 73 0.4× 119 1.4× 50 1.6× 17 478
Geoffrey A. Chua Singapore 8 254 0.6× 126 0.5× 130 0.8× 63 0.7× 37 1.2× 21 361
Scott R. Swenseth United States 10 252 0.6× 182 0.8× 102 0.6× 62 0.7× 19 0.6× 14 381
Gwo-Ji Sheen Taiwan 6 293 0.7× 241 1.0× 81 0.5× 102 1.2× 99 3.2× 8 445
James A. Rappold United States 10 233 0.6× 137 0.6× 86 0.5× 75 0.9× 16 0.5× 15 351
Grace Lin United States 5 251 0.6× 102 0.4× 165 1.0× 69 0.8× 15 0.5× 8 346
Stephen N. Chapman United States 8 270 0.6× 146 0.6× 106 0.6× 130 1.5× 20 0.6× 12 408

Countries citing papers authored by Antonio Arreola‐Risa

Since Specialization
Citations

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

Fields of papers citing papers by Antonio Arreola‐Risa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Antonio Arreola‐Risa. 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 Antonio Arreola‐Risa. The network helps show where Antonio Arreola‐Risa may publish in the future.

Co-authorship network of co-authors of Antonio Arreola‐Risa

This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Arreola‐Risa. A scholar is included among the top collaborators of Antonio Arreola‐Risa 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 Antonio Arreola‐Risa. Antonio Arreola‐Risa 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.
Tan, Zhen, et al.. (2023). On the improvement of uncertain cloud service capacity. International Journal of Production Economics. 258. 108779–108779. 4 indexed citations
2.
Arreola‐Risa, Antonio, et al.. (2022). Optimizing a single-product production-inventory system under constant absolute risk aversion. Top. 31(3). 510–537. 1 indexed citations
3.
Arreola‐Risa, Antonio, et al.. (2021). Minimizing conditional value‐at‐risk under a modified basestock policy. Production and Operations Management. 31(4). 1822–1838. 7 indexed citations
4.
Arreola‐Risa, Antonio, et al.. (2020). On minimizing downside risk in make‐to‐stock, risk‐averse firms. Naval Research Logistics (NRL). 68(2). 199–213. 7 indexed citations
5.
Arreola‐Risa, Antonio, et al.. (2020). Optimizing a production-inventory system under a cost target. Computers & Operations Research. 123. 105015–105015. 10 indexed citations
6.
Arreola‐Risa, Antonio, et al.. (2016). Financial risk, inventory decision and process improvement for a firm with random capacity. European Journal of Operational Research. 260(1). 183–194. 24 indexed citations
7.
Arreola‐Risa, Antonio, et al.. (2013). Designing Supply Chains for New Product Development. TU Digital Collections (Thammasat University). 5 indexed citations
8.
Arreola‐Risa, Antonio & Matthew F. Keblis. (2012). Design of Stockless Production Systems. Production and Operations Management. 22(1). 203–215. 4 indexed citations
9.
Arreola‐Risa, Antonio, et al.. (2011). Optimizing stochastic production-inventory systems: A heuristic based on simulation and regression analysis. European Journal of Operational Research. 213(1). 107–118. 15 indexed citations
10.
Faaland, Bruce, Thomas Schmitt, & Antonio Arreola‐Risa. (2004). Economic lot scheduling with lost sales and setup times. IIE Transactions. 36(7). 629–640. 11 indexed citations
11.
Doerr, Kenneth H. & Antonio Arreola‐Risa. (2000). A worker-based approach for modeling variability in task completion times. IIE Transactions. 32(7). 625–636. 35 indexed citations
12.
Doerr, Kenneth H. & Antonio Arreola‐Risa. (2000). . IIE Transactions. 32(7). 625–636. 3 indexed citations
13.
DeCroix, Gregory A. & Antonio Arreola‐Risa. (1998). On offering economic incentives to backorder. IIE Transactions. 30(8). 715–721. 25 indexed citations
14.
Arreola‐Risa, Antonio. (1998). On Inventory Abatement via Manufacturing Randomness Reductions*. Decision Sciences. 29(4). 983–1004.
15.
Arreola‐Risa, Antonio & Gregory A. DeCroix. (1998). Inventory management under random supply disruptions and partial backorders. Naval Research Logistics (NRL). 45(7). 687–703. 6 indexed citations
16.
Arreola‐Risa, Antonio & Gregory A. DeCroix. (1998). Inventory management under random supply disruptions and partial backorders. Naval Research Logistics (NRL). 45(7). 687–703. 133 indexed citations
17.
DeCroix, Gregory A. & Antonio Arreola‐Risa. (1998). Optimal Production and Inventory Policy for Multiple Products Under Resource Constraints. Management Science. 44(7). 950–961. 81 indexed citations
18.
Arreola‐Risa, Antonio & Gregory A. DeCroix. (1998). Make-to-order versus make-to-stock in a production—inventory system with general production times. IIE Transactions. 30(8). 705–713. 64 indexed citations
19.
Arreola‐Risa, Antonio. (1996). Integrated multi-item production-inventory systems. European Journal of Operational Research. 89(2). 326–340. 20 indexed citations
20.
Berk, Emre & Antonio Arreola‐Risa. (1994). Note on “future supply uncertainty in EOQ models”. Naval Research Logistics (NRL). 41(1). 129–132. 69 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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