John F. Elder

63 papers receiving 2.9k citations

John F. Elder's Hit Papers

Ensemble Methods in Data Mining: Improving Accuracy Through Combining Predictions 2010 · 346 citations
3460+10+20Years since publication100200300400500

Peers

John F. Elder
Comparison fields: 5 of 194
  • Environmental Chemistry 262
  • Ecology 608
  • Health, Toxicology and Mutagenesis 268
  • Nature and Landscape Conservation 238
  • Pollution 213
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Paul Harris United Kingdom
Hao Ye China
Feng China
Elizabeth A. Peck United States
You‐Gan Wang Australia
Eric P. Smith United States
Li Guo China
David M. Miller United States
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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-authors

The 25 scholars most cited alongside John F. Elder, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John F. Elder Line = papers co-authored together John F. Elder links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Concerted Evolution of Repetitive DNA Sequences in Eukaryotes
Hit paper breakdown →
1995509
2
Handbook of Statistical Analysis and Data Mining Applications
Hit paper breakdown →
2009466
3
Ensemble Methods in Data Mining: Improving Accuracy Through Combining Predictions
Hit paper breakdown →
2010346
4 2010148
5 1991132
6 1996125
7 2000124
8 1990107
9 198880
10 201076
11 199272
12
A statistical perspective on knowledge discovery in databases
199671
13 197864
14 200262
15 200660
16 200054
17 198553
18 197951
19 199848
20 199443

About John F. Elder

John F. Elder is a scholar working on Ecology, Environmental Chemistry, Artificial Intelligence, Water Science and Technology and Nature and Landscape Conservation, having authored 69 papers that have together received 3.2k indexed citations. Recurring topics across this work include Soil and Water Nutrient Dynamics (12 papers), Water Quality and Resources Studies (12 papers), Fish Ecology and Management Studies (7 papers), Aquatic Ecosystems and Phytoplankton Dynamics (7 papers), Genetic diversity and population structure (7 papers), Data Mining Algorithms and Applications (7 papers), Neural Networks and Applications (6 papers) and Ecology and biodiversity studies (5 papers). The work is most often cited by research in Environmental Chemistry (262 citations), Ecology (608 citations), Health, Toxicology and Mutagenesis (268 citations), Nature and Landscape Conservation (238 citations) and Pollution (213 citations). John F. Elder has collaborated with scholars based in United States, Netherlands and Japan. Frequent co-authors include Bruce J. Turner, Giovanni Seni, Gary Miner, Robert Nisbet, Michael S. Fenster, Robert Dolan, Thomas F. Laughlin, H.C. Mattraw, Alexander J. Horne and Isaac J. Schlosser. Their work appears in journals such as Proceedings of the National Academy of Sciences, Ecology, The Quarterly Review of Biology, Evolution and JAWRA Journal of the American Water Resources Association.

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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