Jay Yellen

19 papers receiving 1.2k citations

Hit Papers

Graph Theory and Its Applications 2005 · 876 citations
8762005202620122019250500750

Peers

Jay Yellen
Comparison fields: 5 of 133
  • Computational Theory and Mathematics 300
  • Discrete Mathematics and Combinatorics 59
  • Geometry and Topology 140
  • Safety, Risk, Reliability and Quality 139
  • Computer Networks and Communications 277
Replace Sergiy Butenko with:
Sergiy Butenko United States
Earl Barnes United States
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Citations per year

Countries citing papers authored by Jay Yellen

Since Specialization
Citations

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

Fields of papers citing papers by Jay Yellen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Jay Yellen, 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 Jay Yellen Line = papers co-authored together Jay Yellen links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1
Graph Theory and Its Applications
Hit paper breakdown →
2005876
2 2018139
3 199292
4
Graph Theory and Its Applications, Second Edition (Discrete Mathematics and Its Applications)
200558
5 197948
6 199229
7 199226
8 201124
9 199619
10 199515
11 201210
12 20136
13
Course Timetabling Using Graph Coloring and A.I. Techniques
20143
14 20033
15 20202
16 20232
17 19751
18 20021
19 19751

About Jay Yellen

Jay Yellen is a scholar working on Discrete Mathematics and Combinatorics, Safety, Risk, Reliability and Quality, Management Science and Operations Research, Industrial and Manufacturing Engineering and Computational Theory and Mathematics, having authored 19 papers that have together received 1.4k indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (4 papers), Scheduling and Timetabling Solutions (4 papers), Vehicle Routing Optimization Methods (3 papers), Finite Group Theory Research (3 papers), Advanced Graph Theory Research (3 papers), Constraint Satisfaction and Optimization (3 papers), Coding theory and cryptography (2 papers) and graph theory and CDMA systems (2 papers). The work is most often cited by research in Computational Theory and Mathematics (300 citations), Discrete Mathematics and Combinatorics (59 citations), Geometry and Topology (140 citations), Safety, Risk, Reliability and Quality (139 citations) and Computer Networks and Communications (277 citations). Jay Yellen has collaborated with scholars based in United States, Kuwait and United Kingdom. Frequent co-authors include Jonathan L. Gross, Jonathan L. Gross, Mark Anderson, Talal M. Alkhamis, S. Vemuri, Jonathan Groß, Robert A. Liebler, Jewgeni H. Dshalalow, Rong Qu and Edmund Burke. Their work appears in journals such as Proceedings of the American Mathematical Society, Annals of Operations Research, IEEE Transactions on Power Systems, Computers & Operations Research and Pacific Journal of Mathematics.

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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