C. E. M. Pearce

5.8k total citations · 1 hit paper
149 papers, 3.7k citations indexed

About

C. E. M. Pearce is a scholar working on Applied Mathematics, Computational Theory and Mathematics and Statistical and Nonlinear Physics. According to data from OpenAlex, C. E. M. Pearce has authored 149 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Applied Mathematics, 31 papers in Computational Theory and Mathematics and 28 papers in Statistical and Nonlinear Physics. Recurrent topics in C. E. M. Pearce's work include Mathematical Inequalities and Applications (38 papers), Advanced Queuing Theory Analysis (24 papers) and Functional Equations Stability Results (24 papers). C. E. M. Pearce is often cited by papers focused on Mathematical Inequalities and Applications (38 papers), Advanced Queuing Theory Analysis (24 papers) and Functional Equations Stability Results (24 papers). C. E. M. Pearce collaborates with scholars based in Australia, Croatia and United States. C. E. M. Pearce's co-authors include Derek Abbott, Mark D. McDonnell, Nigel G. Stocks, ‎Josip Pečarić, Stephen S. Burkhart, Sever S Dragomir, Andrew Thompson, A. M. Rubinov, Peter Taylor and W. Henderson and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Automatic Control and Physics Letters A.

In The Last Decade

C. E. M. Pearce

139 papers receiving 3.4k citations

Hit Papers

Stochastic Resonance 2008 2026 2014 2020 2008 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
C. E. M. Pearce Australia 26 1.5k 780 632 552 367 149 3.7k
Yong Xu China 38 2.8k 1.8× 283 0.4× 946 1.5× 349 0.6× 13 0.0× 262 5.0k
Erik M. Bollt United States 34 2.0k 1.3× 69 0.1× 1.2k 1.9× 327 0.6× 8 0.0× 165 3.8k
Ivo Petráš Slovakia 32 1.7k 1.1× 552 0.7× 915 1.4× 73 0.1× 26 0.1× 99 7.1k
Ahmed H. Tewfik United States 37 137 0.1× 123 0.2× 821 1.3× 560 1.0× 34 0.1× 432 6.5k
V. Chellaboina United States 28 612 0.4× 180 0.2× 1.3k 2.1× 53 0.1× 20 0.1× 193 5.2k
Sue Ann Campbell Canada 28 1.1k 0.7× 52 0.1× 1.5k 2.3× 492 0.9× 8 0.0× 74 2.7k
Lihong Huang China 38 1.9k 1.3× 528 0.7× 3.3k 5.1× 167 0.3× 15 0.0× 225 4.7k
Karthikeyan Rajagopal India 44 5.0k 3.3× 63 0.1× 3.1k 5.0× 1.6k 2.8× 19 0.1× 543 8.1k
Michael Kirby United States 22 322 0.2× 27 0.0× 92 0.1× 298 0.5× 13 0.0× 186 4.7k
Guo–Cheng Wu China 40 2.3k 1.5× 1.4k 1.8× 833 1.3× 88 0.2× 10 0.0× 173 5.9k

Countries citing papers authored by C. E. M. Pearce

Since Specialization
Citations

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

Fields of papers citing papers by C. E. M. Pearce

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. E. M. Pearce. 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 C. E. M. Pearce. The network helps show where C. E. M. Pearce may publish in the future.

Co-authorship network of co-authors of C. E. M. Pearce

This figure shows the co-authorship network connecting the top 25 collaborators of C. E. M. Pearce. A scholar is included among the top collaborators of C. E. M. Pearce based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with C. E. M. Pearce. C. E. M. Pearce is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Allison, Andrew, C. E. M. Pearce, & Derek Abbott. (2014). A Variational Approach to the Analysis of Dissipative Electromechanical Systems. PLoS ONE. 9(2). e77190–e77190. 7 indexed citations
2.
Albrecht, Amie, Phil Howlett, & C. E. M. Pearce. (2011). Necessary and sufficient conditions for the inversion of linearly-perturbed bounded linear operators on Banach space using Laurent series. Journal of Mathematical Analysis and Applications. 383(1). 95–110. 8 indexed citations
3.
Cohen, Samuel N., Robert J. Elliott, & C. E. M. Pearce. (2010). A general comparison theorem for backward stochastic differential equations. Advances in Applied Probability. 42(3). 878–898. 17 indexed citations
4.
McDonnell, Mark D., Derek Abbott, Nigel G. Stocks, & C. E. M. Pearce. (2008). Stochastic Resonance. arXiv (Cornell University). 1223 indexed citations breakdown →
5.
Pearce, C. E. M., Julia Piantadosi, & Phil Howlett. (2007). On an optimal control policy for stormwater management in two connected dams. Journal of Industrial and Management Optimization. 3(2). 313–320. 4 indexed citations
6.
Dragomir, Sever S, C. E. M. Pearce, & ‎Josip Pečarić. (2001). Some New Inequalities for the Logarithmic Map, with Applications to Entropy and Mutual Information. Kyungpook mathematical journal. 41(1). 115–115.
7.
Pearce, C. E. M., et al.. (2001). HADAMARD AND DRAGOMIR-AGARWAL INEQUALITIES, HIGHER-ORDER CONVEXITY AND THE EULER FORMULA. Journal of the Korean Mathematical Society. 38(6). 1235–1243. 2 indexed citations
8.
Cerone, Pietro, Sever S Dragomir, & C. E. M. Pearce. (2000). A Generalized Trapezoid Inequality for Functions of Bounded Variation. TURKISH JOURNAL OF MATHEMATICS. 24(2). 147–163. 42 indexed citations
9.
Pearce, C. E. M. & ‎Josip Pečarić. (2000). Inequalities for differentiable mappings with application to special means and quadrature formulæ. Applied Mathematics Letters. 13(2). 51–55. 209 indexed citations
10.
Pearce, C. E. M., et al.. (1998). Multiple Choice Problems Related to the Duration of the Secretary Problem. Kyoto University Research Information Repository (Kyoto University). 1068(79). 75–86. 1 indexed citations
11.
Pearce, C. E. M., ‎Josip Pečarić, & Bernhard Neumann. (1998). On weighted generalized logarithmic means. Houston journal of mathematics. 24(3). 459–466. 7 indexed citations
12.
Rhee, Kyung-Hyune & C. E. M. Pearce. (1997). ON SOME BASIC PROPERTIES OF THE INHOMOGENEOUS QUASI-BIRTH-AND-DEATH PROCESS. Communications of the Korean Mathematical Society. 12(1). 177–192. 1 indexed citations
13.
Mond, B., C. E. M. Pearce, & ‎Josip Pečarić. (1997). The logarithmic mean is a mean. Mathematical communications. 2(1). 35–39. 10 indexed citations
14.
Pearce, C. E. M.. (1997). Faculty of Textile Technology. 168(8). 969–73. 1 indexed citations
15.
Gill, Peter M. W., C. E. M. Pearce, & ‎Josip Pečarić. (1997). Hadamard's Inequality forr-Convex Functions. Journal of Mathematical Analysis and Applications. 215(2). 461–470. 55 indexed citations
16.
Pearce, C. E. M., et al.. (1996). Some generalizations of the Beckenbach-Dresher inequality. Houston journal of mathematics. 22(3). 629–638. 4 indexed citations
17.
Pearce, C. E. M. & ‎Josip Pečarić. (1996). On Some Inequalities of Brenner and Alzer for Concave Functions. Journal of Mathematical Analysis and Applications. 198(1). 282–288. 5 indexed citations
18.
Pearce, C. E. M. & ‎Josip Pečarić. (1994). An Inequality for Convex Functions. Journal of Mathematical Analysis and Applications. 183(3). 523–527. 8 indexed citations
19.
Henderson, W., C. E. M. Pearce, P. K. Pollett, & Peter Taylor. (1992). Connecting internally balanced quasi-reversible Markov processes. Advances in Applied Probability. 24(4). 934–959. 2 indexed citations
20.
Pearce, C. E. M. & R. B. Potts. (1976). Symmetric square roots of the infinite identity matrix. Journal of the Australian Mathematical Society. 22(3). 343–361. 1 indexed citations

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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