Tiaza Bem

755 citations
32 papers · 615 · h-index 15

Impact in

Papers in

Tiaza Bem

30 papers receiving 592 citations

Peers

Tiaza Bem
Comparison fields: 5 of 75
  • Cognitive Neuroscience 225
  • Cellular and Molecular Neuroscience 206
  • Small Animals 80
  • Endocrine and Autonomic Systems 60
  • Pathology and Forensic Medicine 156
Replace J.‐M. Cabelguen with:
J.‐M. Cabelguen France
Sergey N. Markin United States
George John Romanes United Kingdom
Katinka Stecina Canada
Paul R. Lennard United States
C. Perret France
Tuan V. Bui Canada
Shik Ml
Reinhold Necker Germany
Ari Berkowitz United States
Tiaza Bem relative to J.‐M. Cabelguen France J.‐M. Cabelguen's profile →
Citations per field
00.5×4.7×
J.‐M. Cabelguen · 1×
Citations per year

Countries citing papers authored by Tiaza Bem

Since Specialization
Citations

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

Fields of papers citing papers by Tiaza Bem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997102
2 199560
3 200457
4 200352
5 199347
6 201639
7 200532
8 199630
9
Hindlimb swing, stance and step relationships during unrestrained walking in cats with lateral funicular lesion.
199325
10 199321
11 200220
12 200316
13 199315
14 201914
15 201114
16 201213
17 199512
18
Hindlimb muscle activity during unrestrained walking in cats with lesions of the lateral funiculi.
199312
19 20087
20 20175

About Tiaza Bem

Tiaza Bem is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Small Animals, Statistical and Nonlinear Physics and Biomedical Engineering, having authored 32 papers that have together received 615 indexed citations. Recurring topics across this work include Neural dynamics and brain function (14 papers), Photoreceptor and optogenetics research (7 papers), Memory and Neural Mechanisms (6 papers), Veterinary Orthopedics and Neurology (6 papers), Neuroscience and Neuropharmacology Research (6 papers), stochastic dynamics and bifurcation (5 papers), Neuroscience and Neural Engineering (4 papers) and Veterinary Pharmacology and Anesthesia (3 papers). The work is most often cited by research in Cognitive Neuroscience (225 citations), Cellular and Molecular Neuroscience (206 citations), Small Animals (80 citations), Endocrine and Autonomic Systems (60 citations) and Pathology and Forensic Medicine (156 citations). Tiaza Bem has collaborated with scholars based in Poland, France and United States. Frequent co-authors include Henryk Majczyński, Teresa Górska, Jean‐Marie Cabelguen, John Rinzel, Pierre Meyrand, Yves Le Feuvre, Sten Grillner, Örjan Ekeberg, Bruno Bontempi and Olivier Nicole. Their work appears in journals such as Scientific Reports, Journal of Neurophysiology, PLoS ONE, Biological Cybernetics and Experimental Brain Research.

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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