Paul Waggoner

696 total citations
27 papers, 487 citations indexed

About

Paul Waggoner is a scholar working on Genetics, Biomedical Engineering and Small Animals. According to data from OpenAlex, Paul Waggoner has authored 27 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Genetics, 11 papers in Biomedical Engineering and 8 papers in Small Animals. Recurrent topics in Paul Waggoner's work include Human-Animal Interaction Studies (13 papers), Advanced Chemical Sensor Technologies (10 papers) and Animal Behavior and Welfare Studies (7 papers). Paul Waggoner is often cited by papers focused on Human-Animal Interaction Studies (13 papers), Advanced Chemical Sensor Technologies (10 papers) and Animal Behavior and Welfare Studies (7 papers). Paul Waggoner collaborates with scholars based in United States, United Kingdom and India. Paul Waggoner's co-authors include Gopikrishna Deshpande, Lucia Lazarowski, Jeffrey S. Katz, Thomas S. Denney, Ronald J. Beyers, Vitaly Vodyanoy, Nouha Salibi, Edward E. Morrison, Oleg Pustovyy and John Schumacher and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Paul Waggoner

27 papers receiving 473 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul Waggoner United States 14 254 124 123 120 97 27 487
Christophe Cox United States 14 73 0.3× 187 1.5× 43 0.3× 111 0.9× 89 0.9× 44 671
Irit Gazit Israel 8 165 0.6× 86 0.7× 58 0.5× 116 1.0× 73 0.8× 13 351
Bart Weetjens United States 14 54 0.2× 152 1.2× 37 0.3× 82 0.7× 72 0.7× 32 601
Helen Zulch United Kingdom 19 602 2.4× 47 0.4× 139 1.1× 92 0.8× 467 4.8× 39 926
Amanda J. Davidson United Kingdom 13 74 0.3× 43 0.3× 194 1.6× 295 2.5× 64 0.7× 21 784
Timothy L. Edwards United States 12 69 0.3× 91 0.7× 39 0.3× 53 0.4× 55 0.6× 48 457
Lucia Lazarowski United States 16 427 1.7× 152 1.2× 119 1.0× 142 1.2× 246 2.5× 46 659
Paolo Baragli Italy 19 497 2.0× 72 0.6× 210 1.7× 52 0.4× 431 4.4× 75 1.0k
Patrick Pageat France 19 573 2.3× 28 0.2× 272 2.2× 202 1.7× 518 5.3× 83 1.1k
Aleksandra Górecka-Bruzda Poland 17 292 1.1× 94 0.8× 51 0.4× 100 0.8× 424 4.4× 63 938

Countries citing papers authored by Paul Waggoner

Since Specialization
Citations

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

Fields of papers citing papers by Paul Waggoner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul Waggoner. 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 Paul Waggoner. The network helps show where Paul Waggoner may publish in the future.

Co-authorship network of co-authors of Paul Waggoner

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Waggoner. A scholar is included among the top collaborators of Paul Waggoner 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 Paul Waggoner. Paul Waggoner 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
1.
Medrano, Alba, et al.. (2025). The effect of training paradigm on dogs’ (Canis familiaris) acquisition and generalization of smokeless powders. Applied Animal Behaviour Science. 284. 106527–106527. 1 indexed citations
2.
Lazarowski, Lucia, et al.. (2025). Effectiveness of marker training for detection dogs. Frontiers in Veterinary Science. 12. 1538452–1538452. 1 indexed citations
3.
Waggoner, Paul, et al.. (2024). Impact of variations in training schedules on dogs’ acquisition and retention of an odor detection task. Applied Animal Behaviour Science. 282. 106474–106474. 2 indexed citations
4.
Ma, Xiaolei, Lucia Lazarowski, Yue Zhang, et al.. (2024). Associations between memory performance and Bifidobacterium pseudolongum abundance in the canine gut microbiome. iScience. 27(5). 109611–109611. 2 indexed citations
5.
Deshpande, Gopikrishna, Paul Waggoner, Ronald J. Beyers, et al.. (2024). Two Separate Brain Networks for Predicting Trainability and Tracking Training-Related Plasticity in Working Dogs. Animals. 14(7). 1082–1082. 3 indexed citations
6.
Lazarowski, Lucia, et al.. (2023). Longitudinal stability of detection dog behavioral assessment: A follow-up study of long-term working success. Applied Animal Behaviour Science. 268. 106082–106082. 8 indexed citations
7.
Lazarowski, Lucia, et al.. (2023). A method for validating a non-hazardous canine training aid. 3. 2 indexed citations
8.
Lazarowski, Lucia, et al.. (2021). Generalization Across Acetone Peroxide Homemade Explosives by Detection Dogs. 1. 9 indexed citations
9.
Lazarowski, Lucia, et al.. (2021). Dog–human social relationship: representation of human face familiarity and emotions in the dog brain. Animal Cognition. 24(2). 251–266. 10 indexed citations
10.
Lazarowski, Lucia, et al.. (2021). Development and Training for Working Dogs. Veterinary Clinics of North America Small Animal Practice. 51(4). 921–931. 3 indexed citations
11.
Lazarowski, Lucia, et al.. (2020). A Review of the Types of Training Aids Used for Canine Detection Training. Frontiers in Veterinary Science. 7. 313–313. 30 indexed citations
12.
MacCrehan, William A., et al.. (2020). Two-temperature preparation method for PDMS-based canine training aids for explosives. Forensic Chemistry. 21. 100290–100290. 13 indexed citations
13.
Waggoner, Paul, et al.. (2018). Separate brain areas for processing human and dog faces as revealed by awake fMRI in dogs (Canis familiaris). Learning & Behavior. 46(4). 561–573. 30 indexed citations
14.
Pustovyy, Oleg, Paul Waggoner, Ronald J. Beyers, et al.. (2018). Zinc Nanoparticles Enhance Brain Connectivity in the Canine Olfactory Network: Evidence From an fMRI Study in Unrestrained Awake Dogs. Frontiers in Veterinary Science. 5. 127–127. 15 indexed citations
15.
Robinson, Jennifer L., Jeffrey S. Katz, Paul Waggoner, et al.. (2016). Characterization of Structural Connectivity of the Default Mode Network in Dogs using Diffusion Tensor Imaging. Scientific Reports. 6(1). 36851–36851. 18 indexed citations
16.
Deshpande, Gopikrishna, et al.. (2016). Functional Magnetic Resonance Imaging of the Domestic Dog: Research, Methodology, and Conceptual Issues. SHILAP Revista de lepidopterología. 11. 63–82. 31 indexed citations
17.
Passler, Thomas, et al.. (2016). Real-Time Detection of a Virus Using Detection Dogs. Frontiers in Veterinary Science. 2. 79–79. 43 indexed citations
18.
Jia, Hao, Oleg Pustovyy, Yun Wang, et al.. (2015). Enhancement of Odor-Induced Activity in the Canine Brain by Zinc Nanoparticles: A Functional MRI Study in Fully Unrestrained Conscious Dogs. Chemical Senses. 41(1). 53–67. 28 indexed citations
19.
Kyathanahally, Sreenath P., Hao Jia, Oleg Pustovyy, et al.. (2014). Anterior–posterior dissociation of the default mode network in dogs. Brain Structure and Function. 220(2). 1063–1076. 27 indexed citations
20.
Jia, Hao, Oleg Pustovyy, Paul Waggoner, et al.. (2014). Functional MRI of the Olfactory System in Conscious Dogs. PLoS ONE. 9(1). e86362–e86362. 61 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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