Steven P. Bachman

6.8k total citations · 2 hit papers
37 papers, 3.0k citations indexed

About

Steven P. Bachman is a scholar working on Ecological Modeling, Ecology, Evolution, Behavior and Systematics and Nature and Landscape Conservation. According to data from OpenAlex, Steven P. Bachman has authored 37 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Ecological Modeling, 28 papers in Ecology, Evolution, Behavior and Systematics and 23 papers in Nature and Landscape Conservation. Recurrent topics in Steven P. Bachman's work include Species Distribution and Climate Change (31 papers), Plant and animal studies (25 papers) and Ecology and Vegetation Dynamics Studies (23 papers). Steven P. Bachman is often cited by papers focused on Species Distribution and Climate Change (31 papers), Plant and animal studies (25 papers) and Ecology and Vegetation Dynamics Studies (23 papers). Steven P. Bachman collaborates with scholars based in United Kingdom, United States and Switzerland. Steven P. Bachman's co-authors include Justin Moat, Ben Scott, Andrew Hill, Javier de la Torre, Eimear Nic Lughadha, Neil Brummitt, Malin Rivers, Eve Lucas, Ary Teixeira de Oliveira‐Filho and William J. Baker and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Steven P. Bachman

36 papers receiving 2.9k citations

Hit Papers

Supporting Red List threat assessments with GeoCAT: geosp... 2011 2026 2016 2021 2011 2024 400 800 1.2k

Peers

Steven P. Bachman
Jan J. Wieringa Netherlands
Thomas B. Croat United States
Porter P. Lowry United States
George E. Schatz United States
Darren M. Crayn Australia
Barnabas H. Daru South Africa
David J. Harris United Kingdom
Steven P. Bachman
Citations per year, relative to Steven P. Bachman Steven P. Bachman (= 1×) peers João Renato Stehmann

Countries citing papers authored by Steven P. Bachman

Since Specialization
Citations

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

Fields of papers citing papers by Steven P. Bachman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven P. Bachman. 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 Steven P. Bachman. The network helps show where Steven P. Bachman may publish in the future.

Co-authorship network of co-authors of Steven P. Bachman

This figure shows the co-authorship network connecting the top 25 collaborators of Steven P. Bachman. A scholar is included among the top collaborators of Steven P. Bachman 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 Steven P. Bachman. Steven P. Bachman 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
2.
Bachman, Steven P., Matilda J. M. Brown, Tarciso C. C. Leão, Eimear Nic Lughadha, & Barnaby E. Walker. (2024). Extinction risk predictions for the world's flowering plants to support their conservation. New Phytologist. 242(2). 797–808. 38 indexed citations breakdown →
3.
Ribeiro, Bruno R., Santiago José Elías Velazco, Karlo G. Guidoni‐Martins, et al.. (2022). bdc : A toolkit for standardizing, integrating and cleaning biodiversity data. Methods in Ecology and Evolution. 13(7). 1421–1428. 42 indexed citations
4.
Walker, Barnaby E., Tarciso C. C. Leão, Steven P. Bachman, Eve Lucas, & Eimear Nic Lughadha. (2022). Evidence‐based guidelines for automated conservation assessments of plant species. Conservation Biology. 37(1). e13992–e13992. 7 indexed citations
5.
Walker, Barnaby E., et al.. (2022). Plant species biogeographic origin shapes their current and future distribution on the world's highest island mountain. Journal of Ecology. 111(2). 372–379. 8 indexed citations
6.
Bellot, Sidonie, Alexandre Antonelli, William J. Baker, et al.. (2022). The likely extinction of hundreds of palm species threatens their contributions to people and ecosystems. Nature Ecology & Evolution. 6(11). 1710–1722. 16 indexed citations
7.
Ribeiro, Bruno R., Karlo G. Guidoni‐Martins, Geiziane Tessarolo, et al.. (2022). Issues with species occurrence data and their impact on extinction risk assessments. Biological Conservation. 273. 109674–109674. 11 indexed citations
8.
Bachman, Steven P., et al.. (2020). Rapid Least Concern: towards automating Red List assessments. ZooKeys. 8. e47018–e47018. 27 indexed citations
9.
Moat, Justin, et al.. (2020). To clean or not to clean: Cleaning open‐source data improves extinction risk assessments for threatened plant species. Conservation Science and Practice. 2(12). 20 indexed citations
10.
Walker, Barnaby E., Tarciso C. C. Leão, Steven P. Bachman, Eve Lucas, & Eimear Nic Lughadha. (2019). Addressing Uncertainties in Machine Learning Predictions of Conservation Status. Biodiversity Information Science and Standards. 3. 1 indexed citations
11.
Bachman, Steven P., et al.. (2019). Incorporating evolutionary history into conservation assessments of a highly threatened group of species, South African Dioscorea (Dioscoreaceae). South African Journal of Botany. 123. 296–307. 4 indexed citations
12.
Bachman, Steven P., Paul Wilkin, Tom Reader, et al.. (2019). Extinction risk and conservation gaps for Aloe (Asphodelaceae) in the Horn of Africa. Biodiversity and Conservation. 29(1). 77–98. 12 indexed citations
13.
Lughadha, Eimear Nic, Barnaby E. Walker, Cátia Canteiro, et al.. (2018). The use and misuse of herbarium specimens in evaluating plant extinction risks. Philosophical Transactions of the Royal Society B Biological Sciences. 374(1763). 20170402–20170402. 92 indexed citations
14.
Forest, Félix, Justin Moat, Elisabeth Baloch, et al.. (2018). Gymnosperms on the EDGE. Scientific Reports. 8(1). 6053–6053. 79 indexed citations
15.
Joppa, Lucas, Stuart H. M. Butchart, Michael Hoffmann, et al.. (2015). Impact of alternative metrics on estimates of extent of occurrence for extinction risk assessment. Conservation Biology. 30(2). 362–370. 63 indexed citations
16.
Rakotoarinivo, Mijoro, John Dransfield, Steven P. Bachman, Justin Moat, & William J. Baker. (2014). Comprehensive Red List Assessment Reveals Exceptionally High Extinction Risk to Madagascar Palms. PLoS ONE. 9(7). e103684–e103684. 25 indexed citations
17.
Bachman, Steven P., Justin Moat, Andrew Hill, Javier de la Torre, & Ben Scott. (2011). Supporting Red List threat assessments with GeoCAT: geospatial conservation assessment tool. ZooKeys. 150(150). 117–126. 1449 indexed citations breakdown →
18.
Rivers, Malin, Steven P. Bachman, Thomas R. Meagher, Eimear Nic Lughadha, & Neil Brummitt. (2010). Subpopulations, locations and fragmentation: applying IUCN red list criteria to herbarium specimen data. Biodiversity and Conservation. 19(7). 2071–2085. 69 indexed citations
19.
Brummitt, Neil, Ary Teixeira de Oliveira‐Filho, Steven P. Bachman, et al.. (2008). Plant Diversity Hotspots in the Atlantic Coastal Forests of Brazil. Conservation Biology. 23(1). 151–163. 209 indexed citations
20.
Bachman, Steven P., et al.. (2006). A taxonomic revision of <i>Acaciella</i> (Leguminosae, Mimosoideae). SHILAP Revista de lepidopterología. 17 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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