Julia L. Higle

32 papers receiving 1.1k citations

Peers

Julia L. Higle
Comparison fields: 5 of 87
  • Management Science and Operations Research 616
  • Control and Systems Engineering 373
  • Management Information Systems 295
  • Industrial and Manufacturing Engineering 186
  • Computational Theory and Mathematics 151
Replace Rüdiger Schultz with:
Rüdiger Schultz Germany
Peter Kall Switzerland
Andy Philpott New Zealand
A. L. Soyster United States
Karthik Natarajan Singapore
Aurélie Thiele United States
Virginie Gabrel France
Cécile Murat France
Richard M. Van Slyke United States
Alexander Goryashko Russia
Julia L. Higle relative to Rüdiger Schultz Germany Rüdiger Schultz's profile →
Citations per field
00.5×1.5×
Rüdiger Schultz · 1×
Citations per year

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-authorship network of co-authors of Julia L. Higle

This figure shows the co-authorship network connecting the top 25 collaborators of Julia L. Higle. A scholar is included among the top collaborators of Julia L. Higle 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 Julia L. Higle. Julia L. Higle 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 1
2 4
3 7
4 6
5 0
6 55
7 19
8 127
9 31
10 4
11 6
12 12
13 7
14 25
15 3
16 30
17 9
18
A COMPARISON OF TECHNIQUES FOR THE IDENTIFICATION OF HAZARDOUS LOCATIONS
27
19 2
20
BAYESIAN IDENTIFICATION OF HAZARDOUS LOCATIONS (WITH DISCUSSION AND CLOSURE)
4

About Julia L. Higle

Julia L. Higle is a scholar working on Management Science and Operations Research, Numerical Analysis and Architecture, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include Risk and Portfolio Optimization (15 papers), Optimization and Mathematical Programming (9 papers) and Optimization and Variational Analysis (7 papers). The work is most often cited by research in Management Science and Operations Research (616 citations), Management Information Systems (295 citations) and Industrial and Manufacturing Engineering (186 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, Charles J. Corrado, Susan M. Sanchez, Lei Zhao, John R. Birge and P. A. Eibeck. Their work appears in journals such as Journal of the American Statistical Association, European Journal of Operational Research and Operations 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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