John Noga

810 citations
24 papers · 374 · h-index 10

Impact in

Papers in

John Noga

22 papers receiving 352 citations

Peers

John Noga
Comparison fields: 5 of 39
  • Industrial and Manufacturing Engineering 179
  • Computer Networks and Communications 327
  • Management Science and Operations Research 69
  • Computational Theory and Mathematics 47
  • Management Information Systems 19
Replace Lene M. Favrholdt with:
Lene M. Favrholdt Denmark
Stanley P. Y. Fung Hong Kong
Zeynep Kiziltan Italy
Arindam Khan India
Belaïd Benhamou France
Derrell V. Foster United States
Bruno Baynat France
Lucio Levi Germany
Tanja Mayerhofer Austria
Giorgio Lucarelli France
John Noga relative to Lene M. Favrholdt Denmark Lene M. Favrholdt's profile →
Citations per field
00.5×2.7×
Lene M. Favrholdt · 1×
Citations per year

Countries citing papers authored by John Noga

Since Specialization
Citations

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

Fields of papers citing papers by John Noga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside John Noga, 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 John Noga Line = papers co-authored together John Noga links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200068
2 200165
3 200254
4 199938
5 200120
6 200719
7 200319
8 200617
9 199814
10 20029
11 19996
12 20026
13 20055
14 20005
15 20025
16 20094
17 20034
18 19984
19 20034
20
Online medians via online bribery
20063

About John Noga

John Noga is a scholar working on Computer Networks and Communications, Industrial and Manufacturing Engineering, Computational Theory and Mathematics, Management Science and Operations Research and Artificial Intelligence, having authored 24 papers that have together received 374 indexed citations. Recurring topics across this work include Optimization and Search Problems (22 papers), Scheduling and Optimization Algorithms (7 papers), Caching and Content Delivery (6 papers), Auction Theory and Applications (5 papers), Complexity and Algorithms in Graphs (5 papers), Distributed systems and fault tolerance (5 papers), Algorithms and Data Compression (3 papers) and Age of Information Optimization (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (179 citations), Computer Networks and Communications (327 citations), Management Science and Operations Research (69 citations), Computational Theory and Mathematics (47 citations) and Management Information Systems (19 citations). John Noga has collaborated with scholars based in United States, Austria and Israel. Frequent co-authors include Marek Chrobák, Gerhard J. Woeginger, Leah Epstein, Dimitris Achlioptas, Jiřı́ Sgall, Steven S. Seiden, Neal E. Young, Claire Kenyon, Tomáš Tichý and Rob van Stee. Their work appears in journals such as Theoretical Computer Science, Algorithmica, Journal of Algorithms, Operations Research Letters and Journal of Computer and System Sciences.

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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