Neil O’Connell

66 papers receiving 1.6k citations

Peers

Neil O’Connell
Comparison fields: 5 of 80
  • Statistics and Probability 778
  • Discrete Mathematics and Combinatorics 266
  • Mathematical Physics 703
  • Management Information Systems 430
  • Computer Networks and Communications 483
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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 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995330
2 1995104
3 2004101
4 200195
5 200195
6 200275
7
DIRECTED POLYMERS AND THE QUANTUM TODA LATTICE
200972
8 200158
9 200547
10 200245
11
Big Queues, Springer Lecture Notes in Mathematics
200440
12 200336
13 199836
14 201336
15 200232
16 199530
17 199427
18 200024
19 199323
20 200821

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 Artificial Intelligence, having authored 71 papers that have together received 1.7k indexed citations. Recurring topics across this work include Random Matrices and Applications (34 papers), Stochastic processes and statistical mechanics (27 papers), Advanced Queuing Theory Analysis (17 papers), Advanced Combinatorial Mathematics (14 papers), Markov Chains and Monte Carlo Methods (11 papers), Bayesian Methods and Mixture Models (11 papers), Theoretical and Computational Physics (8 papers) and Stochastic processes and financial applications (7 papers). The work is most often cited by research in Statistics and Probability (778 citations), Discrete Mathematics and Combinatorics (266 citations), Mathematical Physics (703 citations), Management Information Systems (430 citations) and Computer Networks and Communications (483 citations). Neil O’Connell has collaborated with scholars based in United Kingdom, Ireland and United States. Frequent co-authors include Nick Duffield, Marc Yor, Damon Wischik, Ayalvadi Ganesh, Wolfgang König, Jonathan P. Keating, C. P. Hughes, R. Russell, J. T. Lewis and Philippe Bougerol. Their work appears in journals such as Journal of Applied Probability, Stochastic Processes and their Applications, Probability Theory and Related Fields, Annales de l Institut Henri Poincaré Probabilités et Statistiques and The Annals of Applied Probability.

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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