Patrick W. Sweeney

37 papers receiving 937 citations

Patrick W. Sweeney's Hit Papers

Widespread sampling biases in herbaria revealed from large‐scale digitization 2017 · 296 citations
2960+3+6Years since publication50100150200250

Peers

Patrick W. Sweeney
Comparison fields: 5 of 76
  • Ecological Modeling 304
  • Ecology, Evolution, Behavior and Systematics 486
  • Nature and Landscape Conservation 233
  • Plant Science 317
  • Ecology 167
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Gil Nelson United States
Frank A. Bisby United Kingdom
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Countries citing papers authored by Patrick W. Sweeney

Since Specialization
Citations

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

Fields of papers citing papers by Patrick W. Sweeney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick W. Sweeney. 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 Patrick W. Sweeney. The network helps show where Patrick W. Sweeney may publish in the future.

Co-authors

The 25 scholars most cited alongside Patrick W. Sweeney, 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 Patrick W. Sweeney Line = papers co-authored together Patrick W. Sweeney links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Widespread sampling biases in herbaria revealed from large‐scale digitization
Hit paper breakdown →
2017296
2 202082
3 201575
4 200856
5 201454
6 201852
7 201952
8 202043
9 201839
10 200036
11 202223
12 200823
13 201921
14 201819
15
The Battle for New York: A Case Study of Applied Digital Threat Modeling at the Enterprise Level.
201814
16 202410
17 20188
18 20017
19 20076
20 20106

About Patrick W. Sweeney

Patrick W. Sweeney is a scholar working on Ecology, Evolution, Behavior and Systematics, Plant Science, Molecular Biology, Computer Networks and Communications and Ecological Modeling, having authored 41 papers that have together received 962 indexed citations. Recurring topics across this work include Plant Diversity and Evolution (13 papers), Plant and Fungal Species Descriptions (9 papers), Natural Compound Pharmacology Studies (9 papers), Plant and animal studies (7 papers), Species Distribution and Climate Change (6 papers), Network Security and Intrusion Detection (4 papers), Ecology and Vegetation Dynamics Studies (4 papers) and Information and Cyber Security (4 papers). The work is most often cited by research in Ecological Modeling (304 citations), Ecology, Evolution, Behavior and Systematics (486 citations), Nature and Landscape Conservation (233 citations), Plant Science (317 citations) and Ecology (167 citations). Patrick W. Sweeney has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Michael J. Donoghue, Erika J. Edwards, Charles C. Davis, Wendy L. Clement, Elizabeth L. Spriggs, David S. Barrington, David R. Foster, Charles G. Willis, Tristram G. Seidler and Barnabas H. Daru. Their work appears in journals such as ZooKeys, Systematic Botany, Systematic Biology, Applications in Plant Sciences and American Journal of Botany.

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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