Massimo Bardi

2.0k citations
67 papers · 1.6k · h-index 26

Impact in

Papers in

Massimo Bardi

66 papers receiving 1.5k citations

Peers

Massimo Bardi
Comparison fields: 5 of 104
  • Behavioral Neuroscience 631
  • Social Psychology 1.0k
  • Developmental Biology 103
  • Biological Psychiatry 71
  • Small Animals 125
Replace Jules B. Panksepp with:
Jules B. Panksepp United States
Allyson J. Bennett United States
Maria Bernardete Cordeiro de Sousa Brazil
Sonia A. Cavigelli United States
Caroline M. Coppens Netherlands
Timothy K. Newman United States
Benjamin C. Nephew United States
Maribeth Champoux United States
Sylvia Kaiser Germany
Robert L. Meisel United States
Massimo Bardi relative to Jules B. Panksepp United States Jules B. Panksepp's profile →
Citations per field
00.5×1.5×
Jules B. Panksepp · 1×
Citations per year

Countries citing papers authored by Massimo Bardi

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Bardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002127
2 200669
3 200765
4 200455
5 200352
6 201650
7 200250
8 201145
9 200142
10 201042
11 200136
12 200335
13 201832
14 201732
15 201131
16 201231
17
Paternal experience and stress responses in California mice (Peromyscus californicus).
201131
18 201430
19 200429
20 201329

About Massimo Bardi

Massimo Bardi is a scholar working on Social Psychology, Behavioral Neuroscience, Ecology, Evolution, Behavior and Systematics, Ecology and Experimental and Cognitive Psychology, having authored 67 papers that have together received 1.6k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (39 papers), Neuroendocrine regulation and behavior (36 papers), Primate Behavior and Ecology (22 papers), Animal Behavior and Reproduction (6 papers), Wildlife Ecology and Conservation (5 papers), Circadian rhythm and melatonin (5 papers), Evolutionary Psychology and Human Behavior (5 papers) and Human-Animal Interaction Studies (5 papers). The work is most often cited by research in Behavioral Neuroscience (631 citations), Social Psychology (1.0k citations), Developmental Biology (103 citations), Biological Psychiatry (71 citations) and Small Animals (125 citations). Massimo Bardi has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Michael A. Huffman, Kelly G. Lambert, Silvana M. Borgognini‐Tarli, Keiko Shimizu, Craig H. Kinsley, Akio Mori, Linda Brent, Molly M. Hyer, Jeffrey A. French and Matthew R. McLennan. Their work appears in journals such as Hormones and Behavior, American Journal of Primatology, Developmental Psychobiology, Stress and Neuroscience.

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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