Neil Olver

577 citations
36 papers · 319 · h-index 11

Impact in

Papers in

Neil Olver

33 papers receiving 307 citations

Peers

Neil Olver
Comparison fields: 5 of 48
  • Management Science and Operations Research 129
  • Computational Theory and Mathematics 101
  • Computer Networks and Communications 107
  • Transportation 27
  • Computer Graphics and Computer-Aided Design 14
Replace László A. Végh with:
László A. Végh United Kingdom
Claire M. Kenyon-Mathieu United States
Naonori Kakimura Japan
René Beier Germany
Luciano Gualà Italy
Britta Peis Germany
Hossein Esfandiari United States
Ariel Kulik Israel
Nawal Benabbou France
Nir Halman Israel
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Citations per field
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László A. Végh · 1×
Citations per year

Countries citing papers authored by Neil Olver

Since Specialization
Citations

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

Fields of papers citing papers by Neil Olver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Neil Olver, 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 Neil Olver Line = papers co-authored together Neil Olver links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201334
2 201232
3 201130
4
A Priority-based Model of Routing
200829
5 200827
6
Pipage Rounding, Pessimistic Estimators and Matrix Concentration
201415
7 201715
8
200814
9 200713
10 201312
11 201012
12 201710
13 201610
14 201810
15 20157
16 20056
17 20135
18 20205
19 20224
20 20204

About Neil Olver

Neil Olver is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications, Transportation, Statistics and Probability and Management Science and Operations Research, having authored 36 papers that have together received 319 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (15 papers), Advanced Graph Theory Research (9 papers), Optimization and Search Problems (6 papers), Transportation Planning and Optimization (5 papers), Optimization and Packing Problems (4 papers), Cooperative Communication and Network Coding (4 papers), Game Theory and Applications (4 papers) and Markov Chains and Monte Carlo Methods (4 papers). The work is most often cited by research in Management Science and Operations Research (129 citations), Computational Theory and Mathematics (101 citations), Computer Networks and Communications (107 citations), Transportation (27 citations) and Computer Graphics and Computer-Aided Design (14 citations). Neil Olver has collaborated with scholars based in Netherlands, United States and Canada. Frequent co-authors include Adrian R. Vetta, José Correa, F. Bruce Shepherd, Navin Goyal, Vasilis Gkatzelis, Richard Cole, Vahab Mirrokni, Rico Zenklusen, Thomas Rothvoß and Michel X. Goemans. Their work appears in journals such as Mathematical Programming, Journal of Graph Algorithms and Applications, Transportation Research Part B Methodological, Operations Research and Journal of the ACM.

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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