Maya Geva‐Sagiv

903 citations
11 papers · 537 indexed · h-index 7
Topics
Memory and Neural Mechanisms (6 papers)Neuroscience and Neuropharmacology Research (4 papers)Bat Biology and Ecology Studies (3 papers)
Partner nations
IsraelUnited States

In The Last Decade

Maya Geva‐Sagiv

11 papers receiving 521 citations

Peers

Maya Geva‐Sagiv
Comparison fields: 5 of 89
  • Cognitive Neuroscience 310
  • Cellular and Molecular Neuroscience 196
  • Ecology, Evolution, Behavior and Systematics 98
  • Ecology 67
  • Sensory Systems 59
Replace Melissa L. Caras with:
Melissa L. Caras United States
Roberto Bermejo United States
А. В. Латанов Russia
Kazuo Imaizumi United States
Dany Paleressompoulle France
Aharon Weissbrod Israel
Jorge J. Prieto Spain
Johannes C Dahmen United Kingdom
Alexandre Kempf France
Christian Bech Christensen Denmark
Maya Geva‐Sagiv relative to Melissa L. Caras United States Melissa L. Caras's profile →
Citations per field
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Melissa L. Caras · 1×
Citations per year

Countries citing papers authored by Maya Geva‐Sagiv

Since Specialization
Citations

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

Fields of papers citing papers by Maya Geva‐Sagiv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maya Geva‐Sagiv. 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 Maya Geva‐Sagiv. The network helps show where Maya Geva‐Sagiv may publish in the future.

Co-authorship network of co-authors of Maya Geva‐Sagiv

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 3
2 3
3 61
4 3
5 28
6 63
7 75
8 57
9 182
10 2
11 60

About Maya Geva‐Sagiv

Maya Geva‐Sagiv is a scholar working on Cognitive Neuroscience, Developmental Biology and Endocrine and Autonomic Systems, having authored 11 papers that have together received 537 indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (6 papers), Neuroscience and Neuropharmacology Research (4 papers) and Bat Biology and Ecology Studies (3 papers). The work is most often cited by research in Developmental Biology (49 citations), Cognitive Neuroscience (310 citations) and Sensory Systems (59 citations). Maya Geva‐Sagiv has collaborated with scholars based in Israel and United States. Frequent co-authors include Nachum Ulanovsky, Liora Las, Yossi Yovel, Yuval Nir, Sandro Romani, Noam Sobel, Lavi Secundo, Aharon Weissbrod, Nachum Soroker and Michael M. Yartsev. Their work appears in journals such as Cell, Nature Neuroscience and Nature reviews. 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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