John F. Elder

4.6k total citations · 3 hit papers
69 papers, 3.2k citations indexed

About

John F. Elder is a scholar working on Ecology, Environmental Chemistry and Artificial Intelligence. According to data from OpenAlex, John F. Elder has authored 69 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Ecology, 16 papers in Environmental Chemistry and 15 papers in Artificial Intelligence. Recurrent topics in John F. Elder's work include Water Quality and Resources Studies (12 papers), Soil and Water Nutrient Dynamics (12 papers) and Data Mining Algorithms and Applications (7 papers). John F. Elder is often cited by papers focused on Water Quality and Resources Studies (12 papers), Soil and Water Nutrient Dynamics (12 papers) and Data Mining Algorithms and Applications (7 papers). John F. Elder collaborates with scholars based in United States, Netherlands and Ireland. John F. Elder's co-authors include Bruce J. Turner, Giovanni Seni, Robert Nisbet, Gary Miner, Robert Dolan, Michael S. Fenster, Thomas F. Laughlin, H.C. Mattraw, Alexander J. Horne and Isaac J. Schlosser and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and Environmental Science & Technology.

In The Last Decade

John F. Elder

63 papers receiving 2.9k citations

Hit Papers

Concerted Evolution of Repetitive DNA Sequences in Eukary... 1995 2026 2005 2015 1995 2009 2010 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Concerted Evolution of Repetitive DNA Sequences in Eukaryotes
    1995 509 citations John F. Elder, Bruce J. Turner The Quarterly Review of Biology profile →
  2. Handbook of Statistical Analysis and Data Mining Applications
    2009 459 citations John F. Elder et al. profile →
  3. Ensemble Methods in Data Mining: Improving Accuracy Through Combining Predictions
    2010 343 citations John F. Elder et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John F. Elder United States 27 611 486 484 475 400 69 3.2k
You‐Gan Wang Australia 39 691 1.1× 382 0.8× 518 1.1× 315 0.7× 194 0.5× 241 5.3k
John J. Beauchamp United States 27 387 0.6× 171 0.4× 584 1.2× 299 0.6× 190 0.5× 89 4.1k
Adele Cutler United States 17 1.6k 2.7× 389 0.8× 533 1.1× 398 0.8× 230 0.6× 29 5.2k
Elizabeth A. Peck United States 5 428 0.7× 124 0.3× 422 0.9× 147 0.3× 316 0.8× 7 5.0k
Ulrike Grömping Germany 14 719 1.2× 132 0.3× 180 0.4× 329 0.7× 412 1.0× 40 4.2k
Thomas Augustin Germany 21 461 0.8× 266 0.5× 840 1.7× 440 0.9× 119 0.3× 127 4.4k
Marvin N. Wright Germany 15 886 1.5× 193 0.4× 492 1.0× 284 0.6× 345 0.9× 38 4.7k
K. R. Gabriel United States 24 247 0.4× 596 1.2× 419 0.9× 353 0.7× 1.1k 2.7× 52 5.4k
Eric P. Smith United States 34 1.5k 2.4× 230 0.5× 214 0.4× 120 0.3× 194 0.5× 143 4.2k
Michael J. Phillips Malaysia 40 1.2k 2.0× 162 0.3× 118 0.2× 600 1.3× 300 0.8× 204 5.8k

Countries citing papers authored by John F. Elder

Since Specialization
Citations

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

Fields of papers citing papers by John F. Elder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John F. Elder. 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 John F. Elder. The network helps show where John F. Elder may publish in the future.

Co-authorship network of co-authors of John F. Elder

This figure shows the co-authorship network connecting the top 25 collaborators of John F. Elder. A scholar is included among the top collaborators of John F. Elder 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 John F. Elder. John F. Elder 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.
Elder, John F., et al.. (2016). POPULATION GENETIC DIVERGENCE OF ISLE ROYALE PEARL DACE, Margarita margariscus (CYPRINIDAE). 74(2). 1. 1 indexed citations
2.
Johnson, G. T., et al.. (2011). Phylogeny of the freshwater crayfish subfamily Cambarinae based on 16S rDNA gene analysis.. 97–113. 5 indexed citations
3.
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Elder, John F.. (2005). Top 10 data mining mistakes. 1 pp.–1 pp.. 5 indexed citations
6.
Elder, John F.. (2003). Global R/sup d/ optimization when probes are expensive: the GROPE algorithm. 577–582. 12 indexed citations
7.
Ross, Kirstin, Naomi L. Cooper, Joseph R. Bidwell, & John F. Elder. (2002). Genetic diversity and metal tolerance of two marine species: a comparison between populations from contaminated and reference sites. Marine Pollution Bulletin. 44(7). 671–679. 62 indexed citations
8.
Elder, John F.. (2001). Fusing the Results of Diverse Algorithms. 2 indexed citations
9.
Elder, John F. & Donald E. Brown. (2000). Induction and polynomial networks. Intellect Books. 143–198. 10 indexed citations
10.
Elder, John F., et al.. (1998). Knowledge discovery and the interface of computing and statistics. Knowledge Discovery and Data Mining. 375–378. 2 indexed citations
11.
Elder, John F., et al.. (1996). A statistical perspective on knowledge discovery in databases. Knowledge Discovery and Data Mining. 83–113. 71 indexed citations
12.
Elder, John F. & Daryl Pregibon. (1995). A statistical perspective on KDD. Knowledge Discovery and Data Mining. 87–93. 26 indexed citations
13.
Elder, John F. & Bruce J. Turner. (1995). Concerted Evolution of Repetitive DNA Sequences in Eukaryotes. The Quarterly Review of Biology. 70(3). 297–320. 509 indexed citations breakdown →
14.
Elder, John F., David P. Krabbenhoft, & John F. Walker. (1992). Water, Energy, and Biogeochemical Budgets (WEBB) program: Data availability and research at the Northern Temperate Lakes site in north-central Wisconsin. Antarctica A Keystone in a Changing World. 10 indexed citations
15.
Elder, John F., et al.. (1991). Freshwater Molluscs as Indicators of Bioavailability and Toxicity of Metals in Surface-Water Systems. Reviews of Environmental Contamination and Toxicology. 122. 37–79. 132 indexed citations
16.
17.
Elder, John F.. (1988). Metal biogeochemistry in surface-water systems; a review of principles and concepts. U.S. Geological Survey circular. 80 indexed citations
18.
Welsh, Jim & John F. Elder. (1979). Introduction to Pascal. CERN Document Server (European Organization for Nuclear Research). 14 indexed citations
19.
Leonard, Robert L., Louis A. Kaplan, John F. Elder, Robert Coats, & Charles R. Goldman. (1979). Nutrient Transport in Surface Runoff from a Subalpine Watershed, Lake Tahoe Basin, California. Ecological Monographs. 49(3). 281–310. 51 indexed citations
20.
Leland, Harry V., et al.. (1978). Water pollution: heavy metals and related trace elements. 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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