James Yackel

988 total citations
14 papers, 695 citations indexed

About

James Yackel is a scholar working on Computational Theory and Mathematics, Discrete Mathematics and Combinatorics and Geometry and Topology. According to data from OpenAlex, James Yackel has authored 14 papers receiving a total of 695 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computational Theory and Mathematics, 3 papers in Discrete Mathematics and Combinatorics and 3 papers in Geometry and Topology. Recurrent topics in James Yackel's work include Advanced Topology and Set Theory (3 papers), Limits and Structures in Graph Theory (3 papers) and Advanced Graph Theory Research (2 papers). James Yackel is often cited by papers focused on Advanced Topology and Set Theory (3 papers), Limits and Structures in Graph Theory (3 papers) and Advanced Graph Theory Research (2 papers). James Yackel collaborates with scholars based in United States, Russia and United Kingdom. James Yackel's co-authors include Shirley A. Bayer, Prem Puri, David S. Moore, Jack E. Graver, Eugene M. Klimko, Walter T. Fédérer and Michael D. McKay and has published in prestigious journals such as Science, Journal of the American Statistical Association and The Annals of Statistics.

In The Last Decade

James Yackel

14 papers receiving 641 citations

Peers

James Yackel
Daniel L. Sussman United States
R. D. Baker United States
A.M. Uttley United Kingdom
Xiling Wen United States
Susan V. Smith United States
D. A. Sholl United Kingdom
Daniel L. Sussman United States
James Yackel
Citations per year, relative to James Yackel James Yackel (= 1×) peers Daniel L. Sussman

Countries citing papers authored by James Yackel

Since Specialization
Citations

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

Fields of papers citing papers by James Yackel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Yackel

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

All Works

14 of 14 papers shown
1.
Bayer, Shirley A., James Yackel, & Prem Puri. (1982). Neurons in the Rat Dentate Gyrus Granular Layer Substantially Increase During Juvenile and Adult Life. Science. 216(4548). 890–892. 494 indexed citations
2.
Moore, David S. & James Yackel. (1977). Consistency Properties of Nearest Neighbor Density Function Estimators. The Annals of Statistics. 5(1). 68 indexed citations
3.
Klimko, Eugene M. & James Yackel. (1975). Optimal search strategies for Wienér processes. Stochastic Processes and their Applications. 3(1). 19–33. 12 indexed citations
4.
McKay, Michael D., David S. Moore, & James Yackel. (1975). Applicable Finite Mathematics.. Journal of the American Statistical Association. 70(351). 733–733. 2 indexed citations
5.
Yackel, James & Walter T. Fédérer. (1974). Statistics and Society: Data Collection and Interpretation.. Journal of the American Statistical Association. 69(347). 831–831. 12 indexed citations
6.
Yackel, James. (1972). Inequalities and asymptotic bounds for Ramsey numbers. Journal of Combinatorial Theory Series B. 13(1). 56–68. 6 indexed citations
7.
Klimko, Eugene M. & James Yackel. (1970). Entropy of first return partitions of a Markov chain. Probability Theory and Related Fields. 14(3). 251–253. 1 indexed citations
8.
Graver, Jack E. & James Yackel. (1968). Some graph theoretic results associated with Ramsey's theorem. Journal of Combinatorial Theory. 4(2). 125–175. 64 indexed citations
9.
Yackel, James. (1968). A Random Time Change Relating Semi-Markov and Markov Processes. The Annals of Mathematical Statistics. 39(2). 358–364. 5 indexed citations
10.
Yackel, James. (1968). A characterization of normal Markov chains. Proceedings of the American Mathematical Society. 19(6). 1464–1468. 1 indexed citations
11.
Yackel, James. (1968). A Characterization of Normal Markov Chains. Proceedings of the American Mathematical Society. 19(6). 1464–1464. 1 indexed citations
12.
Yackel, James. (1966). Limit Theorems for Semi-Markov Processes. Transactions of the American Mathematical Society. 123(2). 402–402. 4 indexed citations
13.
Graver, Jack E. & James Yackel. (1966). An upper bound for Ramsey numbers. Bulletin of the American Mathematical Society. 72(6). 1076–1079. 3 indexed citations
14.
Yackel, James. (1966). Limit theorems for semi-Markov processes. Transactions of the American Mathematical Society. 123(2). 402–424. 22 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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