Antonio Arreola‐Risa

20 papers receiving 498 citations

Peers

Antonio Arreola‐Risa
Comparison fields: 5 of 53
  • Management Information Systems 422
  • Strategy and Management 234
  • Industrial and Manufacturing Engineering 170
  • Management Science and Operations Research 88
  • Marketing 31
Replace Chi Chiang with:
Chi Chiang Taiwan
Seung‐Lae Kim United States
Ralph W.L. Ip Hong Kong
Kevin Watson United States
Karla E. Bourland United States
Stephen N. Chapman United States
Aïcha Aguezzoul France
Grace Lin United States
E.B. Diks Netherlands
D. Acharya India
Antonio Arreola‐Risa relative to Chi Chiang Taiwan Chi Chiang's profile →
Citations per field
00.5×1.5×2.3×
Chi Chiang · 1×
Citations per year

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
#WorkIndexed citations
1 4
2 1
3 0
4 7
5 7
6 10
7 24
8
Designing Supply Chains for New Product Development
5
9 4
10 15
11 11
12 35
13 25
14 6
15 133
16 0
17 64
18 81
19 20
20 69

About Antonio Arreola‐Risa

Antonio Arreola‐Risa is a scholar working on Management Information Systems, Industrial and Manufacturing Engineering and Management Science and Operations Research, having authored 22 papers that have together received 528 indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (17 papers), Scheduling and Optimization Algorithms (8 papers) and Advanced Queuing Theory Analysis (7 papers). The work is most often cited by research in Management Information Systems (422 citations), Industrial and Manufacturing Engineering (170 citations) and Strategy and Management (234 citations). Antonio Arreola‐Risa has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Gregory A. DeCroix, Emre Berk, Kenneth H. Doerr, Víctor Giménez, Thomas Schmitt, Bruce Faaland, Matthew F. Keblis and Zhen Tan. Their work appears in journals such as Management Science, European Journal of Operational Research and International Journal of Production Economics.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026