Martin Telefont

2.6k citations
9 papers · 429 indexed · h-index 7
Topics
Stress Responses and Cortisol (3 papers)Hypothalamic control of reproductive hormones (3 papers)Biomedical Text Mining and Ontologies (3 papers)

In The Last Decade

Martin Telefont

9 papers receiving 414 citations

Peers

Martin Telefont
Comparison fields: 5 of 113
  • Cognitive Neuroscience 162
  • Cellular and Molecular Neuroscience 96
  • Molecular Biology 63
  • Endocrinology, Diabetes and Metabolism 63
  • Electrical and Electronic Engineering 50
Replace G. Tavares with:
G. Tavares Brazil
Jiebiao Wang United States
Germán Cuesto Spain
Do Young Kim South Korea
Zuxin Chen China
Samuel A. Deadwyler United States
Lilah Toker Israel
Paul Klemm Germany
Silvia Viana da Silva France
Martin Telefont relative to G. Tavares Brazil G. Tavares's profile →
Citations per field
00.5×10×
G. Tavares · 1×
Citations per year

Countries citing papers authored by Martin Telefont

Since Specialization
Citations

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

Fields of papers citing papers by Martin Telefont

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Telefont

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 188
2 14
3 88
4
Bluima: a UIMA-based NLP Toolkit for Neuroscience.
5
5 2
6 25
7 8
8 14
9 85

About Martin Telefont

Martin Telefont is a scholar working on Behavioral Neuroscience, Reproductive Medicine and Endocrine and Autonomic Systems, having authored 9 papers that have together received 429 indexed citations. Recurring topics across this work include Stress Responses and Cortisol (3 papers), Hypothalamic control of reproductive hormones (3 papers) and Biomedical Text Mining and Ontologies (3 papers). The work is most often cited by research in Cognitive Neuroscience (162 citations), Cellular and Molecular Neuroscience (96 citations) and Health Informatics (6 citations). Martin Telefont has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Thomas Lippert, J. F. Esteban Müller, Alois Knoll, Katrin Amunts, Henry Markram, Rodrigo Perin, Estela Cuevas‐Romero, Eva Ausó, Gabriella Morreale de Escobar and Constantino Sotelo. Their work appears in journals such as Neuron, Bioinformatics and European Journal of 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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