Julia L. Higle

43 papers receiving 1.4k citations

Peers

Julia L. Higle
Comparison fields: 5 of 92
  • Management Science and Operations Research 791
  • Management Information Systems 391
  • Industrial and Manufacturing Engineering 257
  • Transportation 148
  • Control and Systems Engineering 469
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Countries citing papers authored by Julia L. Higle

Since Specialization
Citations

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

Fields of papers citing papers by Julia L. Higle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia L. Higle. 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 Julia L. Higle. The network helps show where Julia L. Higle may publish in the future.

Co-authors

The 11 scholars most cited alongside Julia L. Higle, 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 Julia L. Higle Line = papers co-authored together Julia L. Higle links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991348
2 1996149
3 1999143
4 2005124
5 1996109
6 199294
7 200582
8 200364
9 199452
10 199146
11
Bayesian identification of hazardous locations
198840
12 199638
13 201030
14 199930
15 199829
16 199228
17
A COMPARISON OF TECHNIQUES FOR THE IDENTIFICATION OF HAZARDOUS LOCATIONS
198927
18 200513
19 199412
20 200710

About Julia L. Higle

Julia L. Higle is a scholar working on Management Science and Operations Research, Control and Systems Engineering, Management Information Systems, Computational Theory and Mathematics and Numerical Analysis, having authored 44 papers that have together received 1.6k indexed citations. Recurring topics across this work include Risk and Portfolio Optimization (19 papers), Optimization and Mathematical Programming (14 papers), Optimization and Variational Analysis (8 papers), Advanced Optimization Algorithms Research (7 papers), Supply Chain and Inventory Management (7 papers), Water resources management and optimization (6 papers), Stochastic processes and financial applications (5 papers) and Economic theories and models (5 papers). The work is most often cited by research in Management Science and Operations Research (791 citations), Management Information Systems (391 citations), Industrial and Manufacturing Engineering (257 citations), Transportation (148 citations) and Control and Systems Engineering (469 citations). Julia L. Higle has collaborated with scholars based in United States, Norway and China. Frequent co-authors include Suvrajeet Sen, James C. Bean, Robert L. Smith, Stein W. Wallace, Karl G. Kempf, Lewis Ntaimo, Charles J. Corrado, Susan M. Sanchez, Lei Zhao and John R. Birge. Their work appears in journals such as Annals of Operations Research, Mathematical Programming, Mathematics of Operations Research, European Journal of Operational Research and INFORMS Journal on Applied Analytics.

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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