Noah Gans

3.5k citations
37 papers · 2.4k indexed · 2 hit papers · h-index 16

Noah Gans

35 papers receiving 2.3k citations

Hit Papers

Statistical Analysis of a Telephone Call Center5582003202620102018250500750

Peers

Noah Gans
Comparison fields: 5 of 98
  • Management Information Systems 1.6k
  • Management Science and Operations Research 582
  • Emergency Medical Services 296
  • Industrial and Manufacturing Engineering 401
  • Transportation 198
Replace Mor Armony with:
Mor Armony United States
Shaler Stidham United States
Achal Bassamboo United States
Moshe Haviv Israel
K. D. Glazebrook United Kingdom
Uri Yechiali Israel
Xiuli Chao United States
Jan A. Van Mieghem United States
Ger Koole Netherlands
Hüseyin Topaloğlu United States
Noah Gans relative to Mor Armony United States Mor Armony's profile →
Citations per field
00.5×1.5×1.9×
Mor Armony · 1×
Citations per year

Countries citing papers authored by Noah Gans

Since Specialization
Citations

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

Fields of papers citing papers by Noah Gans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 21 scholars most cited alongside Noah Gans, 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 Noah Gans Line = papers co-authored together Noah Gans links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20162
3 201533
4 20147
5 201343
6
Parametric Stochastic Programming Models for Call-Center Workforce Scheduling
20129
7 20101
8
Estimating the Operational Impact of Container Inspections at International Ports
20102
9 20103
10 200962
11 20091
12 20081
13 200875
14 200768
15 200760
16 20062
17 200382
18
Telephone Call Centers: Tutorial, Review, and Research Prospectsbreakdown →
2003990
19 200291
20 19981

About Noah Gans

Noah Gans is a scholar working on Management Information Systems, Management Science and Operations Research, Industrial and Manufacturing Engineering, Software and Statistics and Probability, having authored 37 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Queuing Theory Analysis (12 papers), Supply Chain and Inventory Management (6 papers), Scheduling and Optimization Algorithms (6 papers), Auction Theory and Applications (5 papers), Simulation Techniques and Applications (5 papers), Transportation and Mobility Innovations (4 papers), Statistical Methods in Clinical Trials (4 papers) and Advanced Wireless Network Optimization (4 papers). The work is most often cited by research in Management Information Systems (1.6k citations), Management Science and Operations Research (582 citations), Emergency Medical Services (296 citations), Industrial and Manufacturing Engineering (401 citations) and Transportation (198 citations). Noah Gans has collaborated with scholars based in United States, France and Netherlands. Frequent co-authors include Avishai Mandelbaum, Ger Koole, Yong‐Pin Zhou, Haipeng Shen, Lawrence Brown, Sergey Zeltyn, Anat Sakov, Linda Zhao, Stephen E. Chick and Sergei Savin. Their work appears in journals such as Management Science, Operations Research, Manufacturing & Service Operations Management, Advances in Applied Probability and Journal of the American Statistical Association.

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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