David Bloom
Impact in
- Ecological Modeling top 1%
- Species Distribution and Climate Change
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- Scientific Computing and Data Management
Papers in ⓘ
-
- Species Distribution and Climate Change 6
- Urology 2
- Urological Disorders and Treatments 2
- Co-authors
- Robert Guralnick (4 shared papers)John Wieczorek (6 shared papers)Tim Robertson (2 shared papers)Markus Döring (2 shared papers)Dave Vieglais (1 shared paper)Stan Blum (1 shared paper)Renato De Giovanni (1 shared paper)Laura Russell (3 shared papers)
- Journals
- PLoS ONE (3 papers)Urology (2 papers)The Journal of Urology (1 paper)Database (1 paper)Biodiversity Information Science and Standards (1 paper)
- Partner nations
- United StatesBelgiumIreland
In The Last Decade
David Bloom
10 papers receiving 869 citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Ecological Modeling 458
- Information Systems and Management 107
- Ecology 351
- Nature and Landscape Conservation 135
- Ecology, Evolution, Behavior and Systematics 201
Countries citing papers authored by David Bloom
This map shows the geographic impact of David Bloom'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 Bloom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Bloom more than expected).
Fields of papers citing papers by David Bloom
This network shows the impact of papers produced by David Bloom. 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 Bloom. The network helps show where David Bloom may publish in the future.
Co-authors
The 25 scholars most cited alongside David Bloom, 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 | 694 |
| 2 | 2014 | 151 | |
| 3 | 1997 | 29 | |
| 4 | 2016 | 28 | |
| 5 | 1997 | 19 | |
| 6 | 2024 | 6 | |
| 7 | 1994 | 5 | |
| 8 | 2000 | 4 | |
| 9 | 2017 | 4 | |
| 10 | 1993 | 1 | |
| 11 | 2020 | 1 | |
| 12 | 2020 | 1 |
About David Bloom
David Bloom is a scholar working on Ecological Modeling, Urology, Information Systems and Management, Information Systems and Obstetrics and Gynecology, having authored 12 papers that have together received 943 indexed citations. Recurring topics across this work include Species Distribution and Climate Change (6 papers), Environmental DNA in Biodiversity Studies (3 papers), Research Data Management Practices (3 papers), Urological Disorders and Treatments (2 papers), Gas Sensing Nanomaterials and Sensors (1 paper), Urologic and reproductive health conditions (1 paper), History of Medicine Studies (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Ecological Modeling (458 citations), Information Systems and Management (107 citations), Ecology (351 citations), Nature and Landscape Conservation (135 citations) and Ecology, Evolution, Behavior and Systematics (201 citations). David Bloom has collaborated with scholars based in United States, Belgium and Ireland. Frequent co-authors include Robert Guralnick, John Wieczorek, Tim Robertson, Markus Döring, Dave Vieglais, Stan Blum, Renato De Giovanni, Laura Russell, Javier Otegui and Peter Desmet. Their work appears in journals such as PLoS ONE, Urology, The Journal of Urology, Database and Biodiversity Information Science and Standards.
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.