Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Network economics: a variational inequality approach
1994727 citationsAnna Nagurney et al.European Journal of Operational Researchprofile →
Network Economics: A Variational Inequality Approach
This map shows the geographic impact of Anna Nagurney'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 Anna Nagurney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Nagurney more than expected).
This network shows the impact of papers produced by Anna Nagurney. 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 Anna Nagurney. The network helps show where Anna Nagurney may publish in the future.
Co-authorship network of co-authors of Anna Nagurney
This figure shows the co-authorship network connecting the top 25 collaborators of Anna Nagurney.
A scholar is included among the top collaborators of Anna Nagurney 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 Anna Nagurney. Anna Nagurney is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Nagurney, Ladimer S. & Anna Nagurney. (2017). Observation of the Braess Paradox in Electric Circuits. Bulletin of the American Physical Society. 2017.1 indexed citations
11.
Nagurney, Anna. (2016). Freight Service Provision for Disaster Relief: A Competitive Network Model with Computations. SSRN Electronic Journal.3 indexed citations
12.
Nagurney, Anna, Dong Li, & Ladimer S. Nagurney. (2013). Pharmaceutical Supply Chain Networks with Outsourcing Under Price and Quality Competition. SSRN Electronic Journal.3 indexed citations
13.
Rouskas, George N., Ilya Baldin, Kenneth L. Calvert, et al.. (2013). ChoiceNet: Network innovation through choice. 1–6.18 indexed citations
14.
Liu, Zugang & Anna Nagurney. (2009). An Integrated Electric Power Supply Chain and Fuel Market Network Framework: Theoretical Modeling With Empirical Analysis for New England. SSRN Electronic Journal.2 indexed citations
15.
Nagurney, Anna & Qiang Qiang. (2008). An efficiency measure for dynamic networks with application to the Internet and vulnerability analysis. NETNOMICS Economic Research and Electronic Networking. 9(1).6 indexed citations
16.
Nagurney, Anna & Qiang Qiang. (2007). A Transportation Network Efficiency Measure that Captures Flows, Behavior, and Costs with Applications to Network Component Importance Identification and Vulnerability. 11th World Conference on Transport ResearchWorld Conference on Transport Research Society.7 indexed citations
17.
Nagurney, Anna, et al.. (2004). SUPPLY CHAIN SUPERNETWORKS WITH RANDOM DEMANDS. IN: URBAN AND REGIONAL TRANSPORTATION MODELING. ESSAYS IN HONOR OF DAVID BOYCE.1 indexed citations
18.
Nagurney, Anna & R. Ramanujam. (1995). Command and control for congestion pricing of general multimodal transportation networks. Scientia Iranica. 2(3).1 indexed citations
19.
Nagurney, Anna, et al.. (1994). Network economics: a variational inequality approach. European Journal of Operational Research. 72(3). 611–611.727 indexed citations breakdown →
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.