Jennifer C. Geib

646 total citations
9 papers, 469 citations indexed

About

Jennifer C. Geib is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics and Insect Science. According to data from OpenAlex, Jennifer C. Geib has authored 9 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Ecology, Evolution, Behavior and Systematics, 6 papers in Genetics and 5 papers in Insect Science. Recurrent topics in Jennifer C. Geib's work include Plant and animal studies (8 papers), Insect and Arachnid Ecology and Behavior (5 papers) and Insect and Pesticide Research (5 papers). Jennifer C. Geib is often cited by papers focused on Plant and animal studies (8 papers), Insect and Arachnid Ecology and Behavior (5 papers) and Insect and Pesticide Research (5 papers). Jennifer C. Geib collaborates with scholars based in United States, Sweden and Ireland. Jennifer C. Geib's co-authors include Candace Galen, Nicole E. Miller‐Struttmann, Rainee L. Kaczorowski, Robert A. Raguso, James P. Strange, Ricardo M. Holdø, Peter G. Kevan, Diane Ebert‐May, David Heise and Johannes Schul and has published in prestigious journals such as Science, PLoS ONE and Ecology.

In The Last Decade

Jennifer C. Geib

9 papers receiving 454 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jennifer C. Geib United States	9	401	204	191	186	113	9	469
Flávia Fonseca Pezzini United Kingdom	7	405 1.0×	134 0.7×	299 1.6×	185 1.0×	104 0.9×	20	480
Antônio J. C. Aguiar Brazil	14	372 0.9×	214 1.0×	118 0.6×	180 1.0×	44 0.4×	32	399
Aline C. Martins Brazil	15	527 1.3×	258 1.3×	223 1.2×	201 1.1×	82 0.7×	28	635
Daniela Rodrigues Brazil	12	470 1.2×	281 1.4×	183 1.0×	165 0.9×	105 0.9×	39	579
Mascha Bischoff United States	12	432 1.1×	143 0.7×	89 0.5×	279 1.5×	160 1.4×	16	485
Laura Moquet Belgium	11	342 0.9×	278 1.4×	113 0.6×	190 1.0×	92 0.8×	24	442
María C. Rodríguez‐Rodríguez Spain	8	357 0.9×	162 0.8×	109 0.6×	211 1.1×	136 1.2×	10	385
Marco Antônio Costa Brazil	14	376 0.9×	241 1.2×	335 1.8×	233 1.3×	54 0.5×	57	564
Jessica R. Litman Switzerland	10	469 1.2×	165 0.8×	271 1.4×	158 0.8×	58 0.5×	13	516
Karen W. Wright United States	7	316 0.8×	212 1.0×	140 0.7×	102 0.5×	75 0.7×	18	358

Countries citing papers authored by Jennifer C. Geib

Since Specialization

Citations

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

Fields of papers citing papers by Jennifer C. Geib

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer C. Geib. 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 Jennifer C. Geib. The network helps show where Jennifer C. Geib may publish in the future.

Co-authorship network of co-authors of Jennifer C. Geib

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer C. Geib. A scholar is included among the top collaborators of Jennifer C. Geib 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 Jennifer C. Geib. Jennifer C. Geib is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Christmas, Matthew J., Julia C. Jones, Anna Olsson, et al.. (2021). A genomic and morphometric analysis of alpine bumblebees: Ongoing reductions in tongue length but no clear genetic component. Molecular Ecology. 31(4). 1111–1127. 11 indexed citations

Christmas, Matthew J., Julia C. Jones, Anna Olsson, et al.. (2021). Genetic Barriers to Historical Gene Flow between Cryptic Species of Alpine Bumblebees Revealed by Comparative Population Genomics. Molecular Biology and Evolution. 38(8). 3126–3143. 38 indexed citations

Geib, Jennifer C.. (2020). Biodemography: An Introduction to Concepts and Methods. American Entomologist. 66(4). 62–63. 11 indexed citations

Miller‐Struttmann, Nicole E., David Heise, Johannes Schul, Jennifer C. Geib, & Candace Galen. (2017). Flight of the bumble bee: Buzzes predict pollination services. PLoS ONE. 12(6). e0179273–e0179273. 27 indexed citations

Geib, Jennifer C., James P. Strange, & Candace Galen. (2015). Bumble bee nest abundance, foraging distance, and host‐plant reproduction: implications for management and conservation. Ecological Applications. 25(3). 768–778. 63 indexed citations

Miller‐Struttmann, Nicole E., Jennifer C. Geib, Peter G. Kevan, et al.. (2015). Functional mismatch in a bumble bee pollination mutualism under climate change. Science. 349(6255). 1541–1544. 175 indexed citations

Geib, Jennifer C. & Candace Galen. (2012). Tracing impacts of partner abundance in facultative pollination mutualisms: from individuals to populations. Ecology. 93(7). 1581–1592. 16 indexed citations

Galen, Candace, et al.. (2011). Dosage-Dependent Impacts of a Floral Volatile Compound on Pollinators, Larcenists, and the Potential for Floral Evolution in the Alpine SkypilotPolemonium viscosum. The American Naturalist. 177(2). 258–272. 104 indexed citations

Galen, Candace & Jennifer C. Geib. (2007). DENSITY-DEPENDENT EFFECTS OF ANTS ON SELECTION FOR BUMBLE BEE POLLINATION INPOLEMONIUM VISCOSUM. Ecology. 88(5). 1202–1209. 24 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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