Charles Tier

56 papers receiving 795 citations

Peers

Charles Tier
Comparison fields: 5 of 96
  • Management Information Systems 257
  • Statistical and Nonlinear Physics 229
  • Management Science and Operations Research 141
  • Nature and Landscape Conservation 124
  • Ecological Modeling 41
Replace P. K. Pollett with:
P. K. Pollett Australia
Floyd B. Hanson United States
P. A. P. Morán
Robin K. Milne Australia
Peter Jagers Sweden
J. D. Biggins United Kingdom
J. Theodore Cox United States
Ben Hambly United Kingdom
David Griffeath United States
T. L. Vincent United States
Charles Tier relative to P. K. Pollett Australia P. K. Pollett's profile →
Citations per field
00.5×3.7×
P. K. Pollett · 1×
Citations per year

Countries citing papers authored by Charles Tier

Since Specialization
Citations

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

Fields of papers citing papers by Charles Tier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Charles Tier, 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 Charles Tier Line = papers co-authored together Charles Tier links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994165
2 198480
3 198151
4 199348
5 198448
6 198547
7 198343
8 198433
9 198629
10 198626
11 198223
12 198619
13 199018
14 199818
15 198617
16 198615
17 199215
18 198115
19 198715
20 197814

About Charles Tier

Charles Tier is a scholar working on Management Information Systems, Management Science and Operations Research, Statistical and Nonlinear Physics, Statistics and Probability and Mathematical Physics, having authored 59 papers that have together received 933 indexed citations. Recurring topics across this work include Advanced Queuing Theory Analysis (35 papers), Probability and Risk Models (16 papers), Random Matrices and Applications (12 papers), stochastic dynamics and bifurcation (11 papers), Stochastic processes and statistical mechanics (10 papers), Advanced Thermodynamics and Statistical Mechanics (7 papers), Stochastic processes and financial applications (6 papers) and Evolution and Genetic Dynamics (6 papers). The work is most often cited by research in Management Information Systems (257 citations), Statistical and Nonlinear Physics (229 citations), Management Science and Operations Research (141 citations), Nature and Landscape Conservation (124 citations) and Ecological Modeling (41 citations). Charles Tier has collaborated with scholars based in United States and Israel. Frequent co-authors include Charles Knessl, B. J. Matkowsky, Z. Schuss, Marc Mangel, Floyd B. Hanson, M. Mangel, Joseph B. Keller, Richard W. Jordan and Steven M. Baer. Their work appears in journals such as SIAM Journal on Applied Mathematics, Mathematical Biosciences, Queueing Systems, Journal of Statistical Physics and Performance Evaluation.

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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