Niaz Chalabianloo

21 total papers · 902 total citations
15 papers, 603 citations indexed

About

Niaz Chalabianloo is a scholar working on Cardiology and Cardiovascular Medicine, Experimental and Cognitive Psychology and Biomedical Engineering. According to data from OpenAlex, Niaz Chalabianloo has authored 15 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cardiology and Cardiovascular Medicine, 6 papers in Experimental and Cognitive Psychology and 5 papers in Biomedical Engineering. Recurrent topics in Niaz Chalabianloo's work include Heart Rate Variability and Autonomic Control (8 papers), Emotion and Mood Recognition (5 papers) and Non-Invasive Vital Sign Monitoring (3 papers). Niaz Chalabianloo is often cited by papers focused on Heart Rate Variability and Autonomic Control (8 papers), Emotion and Mood Recognition (5 papers) and Non-Invasive Vital Sign Monitoring (3 papers). Niaz Chalabianloo collaborates with scholars based in Türkiye, United Kingdom and Canada. Niaz Chalabianloo's co-authors include Cem Ersoy, Yekta Said Can, Deniz Ekiz, Muhammad Umair, Corina Sas, Gürkan Gür, Javier Fernández‐Álvarez, Giuseppe Riva, Claudia Repetto and Heather Iles‐Smith and has published in prestigious journals such as PLoS ONE, IEEE Access and Sensors.

In The Last Decade

Niaz Chalabianloo

12 papers receiving 575 citations

Author Peers

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

Author Last Decade Papers Cites
Niaz Chalabianloo 235 202 167 130 80 15 603
Alexander T. Adams 138 0.6× 51 0.3× 154 0.9× 135 1.0× 65 0.8× 21 613
Giuseppina Schiavone 106 0.5× 117 0.6× 62 0.4× 305 2.3× 34 0.4× 22 641
Karen Hovsepian 255 1.1× 135 0.7× 101 0.6× 64 0.5× 43 0.5× 12 585
Sten Hanke 244 1.0× 69 0.3× 48 0.3× 177 1.4× 79 1.0× 36 545
Heli Koskimäki 56 0.2× 100 0.5× 162 1.0× 55 0.4× 31 0.4× 38 638
Sougata Sen 103 0.4× 58 0.3× 141 0.8× 45 0.3× 26 0.3× 54 580
Patrícia Bota 210 0.9× 92 0.5× 102 0.6× 181 1.4× 68 0.8× 17 634
Adriana Arza 125 0.5× 276 1.4× 261 1.6× 114 0.9× 73 0.9× 29 571
Christos D. Katsis 302 1.3× 161 0.8× 201 1.2× 303 2.3× 103 1.3× 18 649
Dennis Majoe 148 0.6× 71 0.4× 76 0.5× 301 2.3× 27 0.3× 39 591

Countries citing papers authored by Niaz Chalabianloo

Since Specialization
Citations

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

Fields of papers citing papers by Niaz Chalabianloo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niaz Chalabianloo

This figure shows the co-authorship network connecting the top 25 collaborators of Niaz Chalabianloo. A scholar is included among the top collaborators of Niaz Chalabianloo 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 Niaz Chalabianloo. Niaz Chalabianloo 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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