Martina Siemann

535 citations
19 papers · 379 indexed · h-index 12
Topics
Behavioral and Psychological Studies (11 papers)Cognitive and developmental aspects of mathematical skills (7 papers)Animal Nutrition and Physiology (6 papers)
Partner nations
GermanyArgentinaJapan

In The Last Decade

Martina Siemann

19 papers receiving 336 citations

Peers

Martina Siemann
Comparison fields: 5 of 52
  • Developmental and Educational Psychology 213
  • Statistics and Probability 143
  • Cognitive Neuroscience 130
  • Animal Science and Zoology 57
  • Education 56
Replace Héctor C. Santiago with:
Héctor C. Santiago United States
Daren H. Kaiser United States
Valerie D. Hollard New Zealand
Donald F. Kendrick United States
Jennifer J. Higa United States
Janice Steirn United States
Leyre Castro United States
Masako Jitsumori Japan
Margaret Chalmers United Kingdom
Janice E. Weaver United States
Martina Siemann relative to Héctor C. Santiago United States Héctor C. Santiago's profile →
Citations per field
00.5×
Héctor C. Santiago · 1×
Citations per year

Countries citing papers authored by Martina Siemann

Since Specialization
Citations

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

Fields of papers citing papers by Martina Siemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martina Siemann

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 1
2 21
3 61
4 4
5
Cognitions of birds as products of evolved brains
7
6
Dose shift effects on an apomorphine-elicited response
6
7 42
8 61
9 22
10
Kognition bei Tieren
4
11 25
12 28
13 2
14 11
15 12
16 14
17 14
18 21
19 23

About Martina Siemann

Martina Siemann is a scholar working on Developmental and Educational Psychology, Developmental Biology and Statistics and Probability, having authored 19 papers that have together received 379 indexed citations. Recurring topics across this work include Behavioral and Psychological Studies (11 papers), Cognitive and developmental aspects of mathematical skills (7 papers) and Animal Nutrition and Physiology (6 papers). The work is most often cited by research in Statistics and Probability (143 citations), Developmental and Educational Psychology (213 citations) and Developmental Biology (25 citations). Martina Siemann has collaborated with scholars based in Germany, Argentina and Japan. Frequent co-authors include Juan D. Delius, Xia Li, Jacky Emmerton, Anthony A. Wright, Pascual Ángel Gargiulo, Masako Jitsumori, Xia Li, Xia Li, Bettina Förster and Xia Li. Their work appears in journals such as Physiology & Behavior, Biological Cybernetics and Perception.

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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