Stephanie N. Seifert

6.2k citations
41 papers · 3.4k indexed · 1 hit paper · h-index 18

Stephanie N. Seifert

39 papers receiving 3.4k citations

Hit Papers

Ecological niche modeling in Maxent: the importance of mo...1.7k201020262015202050010001.5k

Peers

Stephanie N. Seifert
Comparison fields: 5 of 133
  • Ecological Modeling 1.5k
  • Infectious Diseases 1.1k
  • Nature and Landscape Conservation 594
  • Ecology 1.0k
  • Modeling and Simulation 150
Replace Luis E. Escobar with:
Luis E. Escobar United States
Kris A. Murray United Kingdom
Denise Kühnert Germany
Fumin Lei China
Henk P. van der Jeugd Netherlands
Marco Tschapka Germany
Pelayo Acevedo Spain
Michel Gauthier‐Clerc France
Alexandre Hassanin France
Colleen T. Webb United States
Stephanie N. Seifert relative to Luis E. Escobar United States Luis E. Escobar's profile →
Citations per field
00.5×3.0×
Luis E. Escobar · 1×
Citations per year

Countries citing papers authored by Stephanie N. Seifert

Since Specialization
Citations

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

Fields of papers citing papers by Stephanie N. Seifert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephanie N. Seifert. 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 Stephanie N. Seifert. The network helps show where Stephanie N. Seifert may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20252
3 20246
4 20248
5 202311
6 20234
7 20238
8 202223
9 20224
10 2020321
11 20197
12 201890
13 201518
14 201329
15 2013108
16 2013235
17 20124
18 20129
19 20123
20
Ecological niche modeling in Maxent: the importance of model complexity and the performance of model selection criteriabreakdown →
20101732

About Stephanie N. Seifert

Stephanie N. Seifert is a scholar working on Infectious Diseases, Virology and Modeling and Simulation, having authored 41 papers that have together received 3.4k indexed citations. Recurring topics across this work include Viral Infections and Vectors (15 papers), Zoonotic diseases and public health (9 papers), Viral Infections and Outbreaks Research (8 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Virology and Viral Diseases (5 papers), Mosquito-borne diseases and control (5 papers), Animal Virus Infections Studies (5 papers) and Malaria Research and Control (5 papers). The work is most often cited by research in Ecological Modeling (1.5k citations), Infectious Diseases (1.1k citations) and Nature and Landscape Conservation (594 citations). Stephanie N. Seifert has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Dan L. Warren, Vincent J. Munster, Michael Letko, Kevin J. Olival, Raina K. Plowright, H. Bradley Shaffer, Amber N. Wright, Louis Lambrechts, Thomas W. Scott and Lauren B. Carrington.

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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