Stan Blum
Impact in
- Ecological Modeling top 1%
- Species Distribution and Climate Change
- Ecology top 5%
- Environmental DNA in Biodiversity Studies
- Wildlife Ecology and Conservation
Papers in
-
- Species Distribution and Climate Change 5
- Ecology 5
- Environmental DNA in Biodiversity Studies 5
- Microbial Community Ecology and Physiology 1
- Wildlife Ecology and Conservation 1
- Co-authors
- John R. Wieczorek (3 shared papers)Markus Döring (2 shared papers)Tim Robertson (2 shared papers)David Bloom (1 shared paper)Robert Guralnick (1 shared paper)Renato De Giovanni (1 shared paper)Dave Vieglais (1 shared paper)Guido Sautter (1 shared paper)
- Journals
- Science (1 paper)D-Lib Magazine (1 paper)PLoS ONE (1 paper)BMC Biology (1 paper)Standards in Genomic Sciences (2 papers)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Stan Blum
6 papers receiving 1.0k citations
Stan Blum's Hit Papers
Peers
Comparison fields: 5 of 90
- Ecological Modeling 495
- Ecology 410
- Information Systems and Management 102
- Nature and Landscape Conservation 141
- Ecology, Evolution, Behavior and Systematics 204
Countries citing papers authored by Stan Blum
This map shows the geographic impact of Stan Blum'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 Stan Blum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stan Blum more than expected).
Fields of papers citing papers by Stan Blum
This network shows the impact of papers produced by Stan Blum. 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 Stan Blum. The network helps show where Stan Blum may publish in the future.
Co-authors
The 25 scholars most cited alongside Stan Blum, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Darwin Core: An Evolving Community-Developed Biodiversity Data Standard Hit paper breakdown → | 2012 | 831 |
| 2 | 2014 | 199 | |
| 3 | 2012 | 31 | |
| 4 | Determining Space from Place for Natural History Collections In a Distributed Digital Library Environment | 2004 | 13 |
| 5 | 2014 | 10 | |
| 6 | 2012 | 4 |
About Stan Blum
Stan Blum is a scholar working on Ecological Modeling, Ecology, Molecular Biology, Social Psychology and Genetics, having authored 6 papers that have together received 1.1k indexed citations. Recurring topics across this work include Species Distribution and Climate Change (5 papers), Environmental DNA in Biodiversity Studies (5 papers), Genomics and Phylogenetic Studies (3 papers), Genetic diversity and population structure (1 paper), Animal and Plant Science Education (1 paper), Mediterranean and Iberian flora and fauna (1 paper), Microbial Community Ecology and Physiology (1 paper) and Wildlife Ecology and Conservation (1 paper). The work is most often cited by research in Ecological Modeling (495 citations), Ecology (410 citations), Information Systems and Management (102 citations), Nature and Landscape Conservation (141 citations) and Ecology, Evolution, Behavior and Systematics (204 citations). Stan Blum has collaborated with scholars based in United States, Germany and France. Frequent co-authors include John R. Wieczorek, Markus Döring, Tim Robertson, David Bloom, Robert Guralnick, Renato De Giovanni, Dave Vieglais, Guido Sautter, N. Dean Pentcheff and Teodor Georgiev. Their work appears in journals such as Science, D-Lib Magazine, PLoS ONE, BMC Biology and Standards in Genomic Sciences.
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.