Nan Kong

2.7k citations
135 papers · 1.8k indexed · h-index 24
Topics
Healthcare Operations and Scheduling Optimization (14 papers)Vehicle Routing Optimization Methods (12 papers)Facility Location and Emergency Management (11 papers)
Journals
CirculationSHILAP Revista de lepidopterologíaNeuroImage

In The Last Decade

Nan Kong

121 papers receiving 1.7k citations

Peers

Nan Kong
Comparison fields: 5 of 168
  • Management Science and Operations Research 256
  • Marketing 196
  • Information Systems and Management 186
  • Economics and Econometrics 186
  • Emergency Medical Services 183
Replace Julie Swann with:
Julie Swann United States
Lampros Stergioulas United Kingdom
Navonil Mustafee United Kingdom
Paul M. Griffin United States
Christine Currie United Kingdom
Cristiano André da Costa Brazil
Tillal Eldabi United Kingdom
Joris van de Klundert Netherlands
Bhakti Stephan Onggo United Kingdom
Taesik Lee South Korea
Nan Kong relative to Julie Swann United States Julie Swann's profile →
Citations per field
00.5×3.7×
Julie Swann · 1×
Citations per year

Countries citing papers authored by Nan Kong

Since Specialization
Citations

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

Fields of papers citing papers by Nan Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nan Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Nan Kong. A scholar is included among the top collaborators of Nan Kong 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 Nan Kong. Nan Kong 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 5
2 1
3 16
4 1
5 1
6 1
7 5
8 1
9 2
10 4
11 5
12 2
13 6
14 41
15 1
16 1
17 1
18 20
19
Does Content Knowledge Affect TOEFL iBT[TM] Reading Performance? A Confirmatory Approach to Differential Item Functioning. TOEFL iBT Research Report. RR-09-29.
2
20
An Initial Investigation of a Modified Procedure for Parallel Analysis. Research Report. ETS RR-07-41.
1

About Nan Kong

Nan Kong is a scholar working on Emergency Medical Services, Emergency Medicine and Management Science and Operations Research, having authored 135 papers that have together received 1.8k indexed citations. Recurring topics across this work include Healthcare Operations and Scheduling Optimization (14 papers), Vehicle Routing Optimization Methods (12 papers) and Facility Location and Emergency Management (11 papers). The work is most often cited by research in Information Systems and Management (186 citations), Emergency Medical Services (183 citations) and Marketing (196 citations). Nan Kong has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Kathryn S. Campy, Min Zhou, Lindu Zhao, Andrew J. Schaefer, Shujuan Qu, Pratik Parikh, Oleg A. Prokopyev, Maneesh Agrawala, Jeffrey Heer and Na Li. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and NeuroImage.

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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