David P. Feldman

1.5k total citations
16 papers, 870 citations indexed

About

David P. Feldman is a scholar working on Statistical and Nonlinear Physics, Condensed Matter Physics and Computational Theory and Mathematics. According to data from OpenAlex, David P. Feldman has authored 16 papers receiving a total of 870 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Statistical and Nonlinear Physics, 5 papers in Condensed Matter Physics and 5 papers in Computational Theory and Mathematics. Recurrent topics in David P. Feldman's work include Theoretical and Computational Physics (5 papers), Statistical Mechanics and Entropy (4 papers) and Cellular Automata and Applications (4 papers). David P. Feldman is often cited by papers focused on Theoretical and Computational Physics (5 papers), Statistical Mechanics and Entropy (4 papers) and Cellular Automata and Applications (4 papers). David P. Feldman collaborates with scholars based in United States. David P. Feldman's co-authors include James P. Crutchfield, Cosma Rohilla Shalizi and Susan R. McKay and has published in prestigious journals such as Physics Today, Physics Letters A and Chaos An Interdisciplinary Journal of Nonlinear Science.

In The Last Decade

David P. Feldman

15 papers receiving 827 citations

Peers

David P. Feldman
Nihat Ay Germany
Ruedi Stoop Switzerland
Robert Shaw United States
Susanne Still United States
Nihat Ay Germany
David P. Feldman
Citations per year, relative to David P. Feldman David P. Feldman (= 1×) peers Nihat Ay

Countries citing papers authored by David P. Feldman

Since Specialization
Citations

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

Fields of papers citing papers by David P. Feldman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David P. Feldman. 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 David P. Feldman. The network helps show where David P. Feldman may publish in the future.

Co-authorship network of co-authors of David P. Feldman

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

All Works

16 of 16 papers shown
1.
2.
Feldman, David P.. (2019). Chaos and Dynamical Systems. Princeton University Press eBooks. 12 indexed citations
3.
Feldman, David P.. (2019). Chaos and Dynamical Systems. Princeton University Press eBooks. 12 indexed citations
4.
Feldman, David P.. (2015). Introduction to Modern Dynamics: Chaos, Networks, Space and Time. Physics Today. 68(12). 56–56. 1 indexed citations
5.
Feldman, David P.. (2012). Chaos and Fractals: An Elementary Introduction. CERN Document Server (European Organization for Nuclear Research). 41 indexed citations
6.
Feldman, David P.. (2012). Chaos and Fractals. Oxford University Press eBooks. 47 indexed citations
7.
Feldman, David P., et al.. (2011). Local entropy and structure in a two-dimensional frustrated system. Chaos An Interdisciplinary Journal of Nonlinear Science. 21(3). 37114–37114. 18 indexed citations
8.
Feldman, David P. & James P. Crutchfield. (2004). SYNCHRONIZING TO PERIODICITY: THE TRANSIENT INFORMATION AND SYNCHRONIZATION TIME OF PERIODIC SEQUENCES. Advances in Complex Systems. 7(03n04). 329–355. 8 indexed citations
9.
Feldman, David P. & James P. Crutchfield. (2003). Structural information in two-dimensional patterns: Entropy convergence and excess entropy. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 67(5). 51104–51104. 71 indexed citations
10.
Crutchfield, James P. & David P. Feldman. (2003). Regularities unseen, randomness observed: Levels of entropy convergence. Chaos An Interdisciplinary Journal of Nonlinear Science. 13(1). 25–54. 231 indexed citations
11.
Crutchfield, James P. & David P. Feldman. (2001). SYNCHRONIZING TO THE ENVIRONMENT: INFORMATION-THEORETIC CONSTRAINTS ON AGENT LEARNING. Advances in Complex Systems. 4(02n03). 251–264. 9 indexed citations
12.
Feldman, David P.. (2000). Monte Carlo Methods: Monte Carlo Methods in Statistical Physics. Computing in Science & Engineering. 2(6). 73–74.
13.
Crutchfield, James P., David P. Feldman, & Cosma Rohilla Shalizi. (2000). Comment I on “Simple measure for complexity”. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 62(2). 2996–2997. 37 indexed citations
14.
Feldman, David P.. (1998). Computational mechanics of classical spin systems. PhDT. 5891. 23 indexed citations
15.
Feldman, David P. & James P. Crutchfield. (1998). Measures of statistical complexity: Why?. Physics Letters A. 238(4-5). 244–252. 280 indexed citations
16.
Crutchfield, James P. & David P. Feldman. (1997). Statistical complexity of simple one-dimensional spin systems. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 55(2). R1239–R1242. 78 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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