Jaime Miranda

16 papers receiving 651 citations

Peers

Jaime Miranda
Comparison fields: 5 of 124
  • Management Science and Operations Research 173
  • Chemical Health and Safety 8
  • Computer Science Applications 61
  • Statistics, Probability and Uncertainty 65
  • Management Information Systems 71
Replace Sigifredo Laengle with:
Sigifredo Laengle Chile
Wanru Wang China
Mingshuo Cao China
Vera Miguéis Portugal
Gonen Singer Israel
T. Miranda Lakshmi India
Sumin Yu China
Min-Chun Yu Taiwan
Gürdal Ertek Türkiye
Xueqing Wang China
Jaime Miranda relative to Sigifredo Laengle Chile Sigifredo Laengle's profile →
Citations per field
00.5×2.7×
Sigifredo Laengle · 1×
Citations per year

Countries citing papers authored by Jaime Miranda

Since Specialization
Citations

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

Fields of papers citing papers by Jaime Miranda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Jaime Miranda, 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 Jaime Miranda Line = papers co-authored together Jaime Miranda links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2017260
2 201978
3 202061
4 200748
5 200938
6 201836
7 202127
8 201927
9 201721
10 201121
11 201014
12 201614
13 200613
14 20059
15 20195
16 20182

About Jaime Miranda

Jaime Miranda is a scholar working on Management Science and Operations Research, Artificial Intelligence, Industrial and Manufacturing Engineering, Signal Processing and Computer Science Applications, having authored 16 papers that have together received 674 indexed citations. Recurring topics across this work include Scheduling and Timetabling Solutions (6 papers), Stock Market Forecasting Methods (3 papers), Vehicle Routing Optimization Methods (3 papers), Time Series Analysis and Forecasting (3 papers), Intelligent Tutoring Systems and Adaptive Learning (2 papers), Neural Networks and Applications (2 papers), Online Learning and Analytics (2 papers) and Business Process Modeling and Analysis (1 paper). The work is most often cited by research in Management Science and Operations Research (173 citations), Chemical Health and Safety (8 citations), Computer Science Applications (61 citations), Statistics, Probability and Uncertainty (65 citations) and Management Information Systems (71 citations). Jaime Miranda has collaborated with scholars based in Chile, United States and Belgium. Frequent co-authors include José M. Merigó, Sebastián Maldonado, Immanuel M. Bomze, Emanuele Borgonovo, Ruud Teunter, Roman Słowiński, José Fernando Oliveira, Sigifredo Laengle, Robert G. Dyson and Richard W. Weber. Their work appears in journals such as INFORMS Journal on Applied Analytics, Decision Support Systems, Safety Science, Knowledge-Based Systems and European Journal of Operational Research.

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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