Padideh Nasseri

24 total papers · 563 total citations
13 papers, 335 citations indexed

About

Padideh Nasseri is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine and Experimental and Cognitive Psychology. According to data from OpenAlex, Padideh Nasseri has authored 13 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 6 papers in Cardiology and Cardiovascular Medicine and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Padideh Nasseri's work include Heart Rate Variability and Autonomic Control (6 papers), Functional Brain Connectivity Studies (5 papers) and EEG and Brain-Computer Interfaces (3 papers). Padideh Nasseri is often cited by papers focused on Heart Rate Variability and Autonomic Control (6 papers), Functional Brain Connectivity Studies (5 papers) and EEG and Brain-Computer Interfaces (3 papers). Padideh Nasseri collaborates with scholars based in United States, Iran and Germany. Padideh Nasseri's co-authors include Hamed Ekhtiari, Michael A. Nitsche, Fatemeh Yavari, John Monterosso, I. Lalezari, Mara Mather, Paul M. Lehrer, Jungwon Min, Kaoru Nashiro and Julian F. Thayer and has published in prestigious journals such as Journal of Pharmaceutical Sciences, Progress in brain research and Frontiers in Human Neuroscience.

In The Last Decade

Padideh Nasseri

12 papers receiving 331 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Padideh Nasseri 149 118 63 49 30 13 335
Tineke K. Steiger 183 1.2× 50 0.4× 12 0.2× 45 0.9× 72 2.4× 11 397
Diana Harasym 107 0.7× 69 0.6× 33 0.5× 10 0.2× 85 2.8× 9 350
Heng‐Liang Yeh 172 1.2× 21 0.2× 50 0.8× 37 0.8× 25 0.8× 14 326
Shalmali Dharmadhikari 190 1.3× 47 0.4× 20 0.3× 17 0.3× 27 0.9× 24 377
Paola Bo 108 0.7× 23 0.2× 21 0.3× 20 0.4× 28 0.9× 12 361
Weronika Dębowska 84 0.6× 45 0.4× 11 0.2× 46 0.9× 20 0.7× 15 391
Hui Li 185 1.2× 93 0.8× 46 0.7× 86 1.8× 25 0.8× 17 393
C. Opper 40 0.3× 16 0.1× 38 0.6× 56 1.1× 46 1.5× 14 358
Minna Husso-Saastamoinen 79 0.5× 34 0.3× 65 1.0× 15 0.3× 9 0.3× 8 369
J. Pfannmöller 121 0.8× 37 0.3× 21 0.3× 28 0.6× 35 1.2× 12 293

Countries citing papers authored by Padideh Nasseri

Since Specialization
Citations

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

Fields of papers citing papers by Padideh Nasseri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Padideh Nasseri

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

All Works

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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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