David B. Preston

5.4k total citations · 1 hit paper
2 papers, 4.0k citations indexed

About

David B. Preston is a scholar working on Infectious Diseases, Organic Chemistry and Surgery. According to data from OpenAlex, David B. Preston has authored 2 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 0 papers in Infectious Diseases, 0 papers in Organic Chemistry and 0 papers in Surgery. Recurrent topics in David B. Preston's work include . David B. Preston is often cited by papers focused on . David B. Preston collaborates with scholars based in . David B. Preston's co-authors include Mark Priestley and has published in prestigious journals such as Technometrics.

In The Last Decade

David B. Preston

2 papers receiving 3.5k citations

Hit Papers

Spectral Analysis and Time Series 1983 2026 1997 2011 1983 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David B. Preston 2 699 478 471 469 441 2 4.0k
Mark Priestley United Kingdom 26 893 1.3× 648 1.4× 520 1.1× 784 1.7× 872 2.0× 79 4.9k
Andrew T. Walden United Kingdom 29 1.2k 1.8× 708 1.5× 999 2.1× 627 1.3× 257 0.6× 110 7.6k
L. H. Koopmans United States 16 394 0.6× 377 0.8× 558 1.2× 383 0.8× 498 1.1× 39 3.0k
Peter Bloomfield United States 31 1.0k 1.5× 764 1.6× 359 0.8× 331 0.7× 693 1.6× 81 6.5k
Genshiro Kitagawa Japan 28 612 0.9× 573 1.2× 523 1.1× 1.1k 2.3× 810 1.8× 88 6.0k
Murray Rosenblatt United States 27 894 1.3× 1.2k 2.5× 517 1.1× 744 1.6× 2.1k 4.8× 67 7.7k
Georg Lindgren Sweden 25 644 0.9× 1.6k 3.4× 137 0.3× 194 0.4× 951 2.2× 95 6.2k
John W. Van Ness United States 15 2.3k 3.3× 1.7k 3.6× 521 1.1× 389 0.8× 610 1.4× 37 6.4k
Frank R. Hampel Switzerland 17 378 0.5× 394 0.8× 321 0.7× 442 0.9× 3.6k 8.1× 33 6.2k
M. R. Leadbetter United States 23 928 1.3× 2.4k 5.0× 343 0.7× 398 0.8× 1.7k 3.8× 65 7.3k

Countries citing papers authored by David B. Preston

Since Specialization
Citations

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

Fields of papers citing papers by David B. Preston

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David B. Preston

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

All Works

2 of 2 papers shown
1.
Preston, David B.. (1983). Spectral Analysis and Time Series. Technometrics. 25(2). 213–214. 3587 indexed citations breakdown →
2.
Preston, David B. & Mark Priestley. (1983). Spectral Analysis and Time Series. Technometrics. 25(2). 213–213. 371 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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