Neil O’Connell

3.6k citations
85 papers · 2.3k · h-index 24

Impact in

Papers in

Neil O’Connell

80 papers receiving 2.2k citations

Peers

Neil O’Connell
Comparison fields: 5 of 49
  • Mathematical Physics 841
  • Statistics and Probability 768
  • Discrete Mathematics and Combinatorics 250
  • Management Information Systems 371
  • Algebra and Number Theory 89
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J. H. B. Kemperman United States
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Vadim Aleksandrovich Malyshev Russia
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Citations per field
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Citations per year

Countries citing papers authored by Neil O’Connell

Since Specialization
Citations

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

Fields of papers citing papers by Neil O’Connell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995347
2 2001150
3 2001123
4 2004114
5 1995109
6 2012105
7 200299
8 201476
9 200170
10 200064
11 200562
12 201361
13 200358
14 200257
15 199844
16
Big Queues, Springer Lecture Notes in Mathematics
200442
17 199536
18 200233
19 200333
20 199431

About Neil O’Connell

Neil O’Connell is a scholar working on Statistics and Probability, Mathematical Physics, Management Information Systems, Discrete Mathematics and Combinatorics and Applied Mathematics, having authored 85 papers that have together received 2.3k indexed citations. Recurring topics across this work include Random Matrices and Applications (29 papers), Stochastic processes and statistical mechanics (27 papers), Advanced Queuing Theory Analysis (21 papers), Probability and Statistical Research (16 papers), Advanced Combinatorial Mathematics (9 papers), Network Traffic and Congestion Control (5 papers), Stochastic processes and financial applications (5 papers) and Probability and Risk Models (4 papers). The work is most often cited by research in Mathematical Physics (841 citations), Statistics and Probability (768 citations), Discrete Mathematics and Combinatorics (250 citations), Management Information Systems (371 citations) and Algebra and Number Theory (89 citations). Neil O’Connell has collaborated with scholars based in United Kingdom, Ireland and United States. Frequent co-authors include Nick G. Duffield, Marc Yor, C. P. Hughes, Jonathan P. Keating, Damon Wischik, Wolfgang König, Ayalvadi J. Ganesh, Timo Seppäläinen, John T. Lewis and Ray Russell. Their work appears in journals such as Lecture notes in mathematics, Journal of Applied Probability, Stochastic Processes and their Applications, Electronic Journal of Probability and Probability Theory and Related Fields.

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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