C. Douglas Howard

411 total citations
13 papers, 173 citations indexed

About

C. Douglas Howard is a scholar working on Statistics and Probability, Mathematical Physics and Condensed Matter Physics. According to data from OpenAlex, C. Douglas Howard has authored 13 papers receiving a total of 173 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Statistics and Probability, 8 papers in Mathematical Physics and 4 papers in Condensed Matter Physics. Recurrent topics in C. Douglas Howard's work include Stochastic processes and statistical mechanics (8 papers), Markov Chains and Monte Carlo Methods (6 papers) and Random Matrices and Applications (4 papers). C. Douglas Howard is often cited by papers focused on Stochastic processes and statistical mechanics (8 papers), Markov Chains and Monte Carlo Methods (6 papers) and Random Matrices and Applications (4 papers). C. Douglas Howard collaborates with scholars based in United States and Russia. C. Douglas Howard's co-authors include Charles M. Newman and Andrew Kalotay and has published in prestigious journals such as American Mathematical Monthly, Journal of Statistical Physics and The Annals of Probability.

In The Last Decade

C. Douglas Howard

12 papers receiving 158 citations

Peers

C. Douglas Howard

MP

SP

CMP

CTM

AI

Steven Kalikow United States

Jean-François Le Gall France

Balázs Ráth Hungary

Örjan Stenflo Sweden

Michèle Soria France

Dominique Poulalhon France

Thomas Cass United Kingdom

Thierry de la Rue France

Bernhard Gittenberger Austria

Bruno Schapira France

Steven Kalikow United States

C. Douglas Howard

239 ×2.1

MP

70 ×0.8

SP

35 ×0.9

CMP

53 ×1.7

CTM

21 ×0.9

AI

Citations per year, relative to C. Douglas Howard C. Douglas Howard (= 1×) peers Steven Kalikow

Countries citing papers authored by C. Douglas Howard

Since Specialization

Citations

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

Fields of papers citing papers by C. Douglas Howard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Douglas Howard. 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. Douglas Howard. The network helps show where C. Douglas Howard may publish in the future.

Co-authorship network of co-authors of C. Douglas Howard

This figure shows the co-authorship network connecting the top 25 collaborators of C. Douglas Howard. A scholar is included among the top collaborators of C. Douglas Howard 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. Douglas Howard. C. Douglas Howard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

1.

Kalotay, Andrew & C. Douglas Howard. (2014). The Tax Option in Municipal Bonds. The Journal of Portfolio Management. 40(2). 94–102. 8 indexed citations

2.

Howard, C. Douglas & Charles M. Newman. (2003). The Percolation Transition for the Zero-Temperature Stochastic Ising Model on the Hexagonal Lattice. Journal of Statistical Physics. 111(1-2). 57–62. 7 indexed citations

3.

Howard, C. Douglas & Charles M. Newman. (2001). Special Invited Paper: Geodesics And Spanning Tees For Euclidean First-Passage Percolaton. The Annals of Probability. 29(2). 34 indexed citations

4.

Howard, C. Douglas. (2001). Differentiability and monotonicity of expected passage time in Euclidean first-passage percolation. Journal of Applied Probability. 38(4). 815–827.

5.

Howard, C. Douglas. (2000). Zero-temperature ising spin dynamics on the homogeneous tree of degree three. Journal of Applied Probability. 37(3). 736–747. 3 indexed citations

6.

Howard, C. Douglas. (2000). Lower bounds for point-to-point wandering exponents in Euclidean first-passage percolation. Journal of Applied Probability. 37(4). 1061–1073. 1 indexed citations

7.

Howard, C. Douglas. (2000). Zero-temperature ising spin dynamics on the homogeneous tree of degree three. Journal of Applied Probability. 37(3). 736–747. 18 indexed citations

8.

Howard, C. Douglas. (1998). Good Paths Don't Double Back. American Mathematical Monthly. 105(4). 354–354. 1 indexed citations

9.

Howard, C. Douglas. (1998). Good Paths Don't Double Back. American Mathematical Monthly. 105(4). 354–357. 1 indexed citations

10.

Howard, C. Douglas & Charles M. Newman. (1997). Euclidean models of first-passage percolation. Probability Theory and Related Fields. 108(2). 153–170. 46 indexed citations

11.

Howard, C. Douglas. (1997). Distinguishing certain random sceneries on ##Z## via random walks. Statistics & Probability Letters. 34(2). 123–132. 14 indexed citations

12.

Howard, C. Douglas. (1996). Detecting defects in periodic scenery by random walks on Z. Random Structures and Algorithms. 8(1). 59–74. 20 indexed citations

13.

Howard, C. Douglas. (1996). Orthogonality of Measures Induced by Random Walks with Scenery. Combinatorics Probability Computing. 5(3). 247–256. 20 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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