Virginia Spiegler

1.6k citations
21 papers · 1.2k indexed · 1 hit paper · h-index 16

Virginia Spiegler

21 papers receiving 1.1k citations

Hit Papers

Big data analytics in supply chain management: A state-of...3612017202620202023100200300

Peers

Virginia Spiegler
Comparison fields: 5 of 74
  • Management Information Systems 734
  • Strategy and Management 770
  • Industrial and Manufacturing Engineering 226
  • Business and International Management 36
  • Management Science and Operations Research 137
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David Nowicki United States
Rainer Lasch Germany
Cristina López Spain
Ajay Pal Singh Rathore India
Sahar Validi Ireland
Murari Lal Mittal India
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Citations per year

Countries citing papers authored by Virginia Spiegler

Since Specialization
Citations

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

Fields of papers citing papers by Virginia Spiegler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 20 scholars most cited alongside Virginia Spiegler, 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 Virginia Spiegler Line = papers co-authored together Virginia Spiegler links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202315
2 202215
3 202213
4 202145
5 202135
6 202125
7 201918
8 201727
9
Big data analytics in supply chain management: A state-of-the-art literature reviewbreakdown →
2017361
10 201717
11 201730
12 201735
13
Socially responsible purchasing practices and supply chain performance in the food and beverage industry
20163
14 2016122
15 20166
16 201540
17 201576
18 201321
19 2012256
20
The impact of capacitated logistics operations on supply chain dynamics
20102

About Virginia Spiegler

Virginia Spiegler is a scholar working on Management Information Systems, Strategy and Management and Business and International Management, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (12 papers), Supply Chain Resilience and Risk Management (11 papers), Quality and Supply Management (10 papers), Sustainable Supply Chain Management (7 papers), Scheduling and Optimization Algorithms (3 papers), Complex Systems and Decision Making (2 papers), Forecasting Techniques and Applications (2 papers) and Big Data and Business Intelligence (1 paper). The work is most often cited by research in Management Information Systems (734 citations), Strategy and Management (770 citations) and Industrial and Manufacturing Engineering (226 citations). Virginia Spiegler has collaborated with scholars based in United Kingdom, Sweden and China. Frequent co-authors include Mohamed Mohamed Naim, Joakim Wikner, Li Zhou, Truong Van Nguyen, Petros Ieromonachou, Yong Lin, D.R. Towill, Laura Purvis, Mohamed Naim and Junyi Lin. Their work appears in journals such as European Journal of Operational Research, International Journal of Production Economics and International Journal of Production 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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