Valentin Goverdovsky

1.3k citations
24 papers · 968 indexed · h-index 15

Impact in

Papers in

Valentin Goverdovsky

24 papers receiving 948 citations

Peers

Valentin Goverdovsky
Comparison fields: 5 of 105
  • Cognitive Neuroscience 514
  • Human-Computer Interaction 85
  • Cardiology and Cardiovascular Medicine 284
  • Signal Processing 102
  • Experimental and Cognitive Psychology 118
Replace Hasan Al‐Nashash with:
Hasan Al‐Nashash United Arab Emirates
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Citations per year

Countries citing papers authored by Valentin Goverdovsky

Since Specialization
Citations

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

Fields of papers citing papers by Valentin Goverdovsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 22 scholars most cited alongside Valentin Goverdovsky, 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 Valentin Goverdovsky Line = papers co-authored together Valentin Goverdovsky links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20196
2 20182
3 201825
4 20183
5 201823
6 201717
7 2017121
8 201770
9 2017166
10 201667
11 201664
12 201633
13 20166
14 201617
15 2015151
16 20156
17 20143
18 201421
19 20132
20
Experimental characterization of a large aperture array localization technique using an SDR testbench
20118

About Valentin Goverdovsky

Valentin Goverdovsky is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine, Signal Processing, Family Practice and Human-Computer Interaction, having authored 24 papers that have together received 968 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (11 papers), Non-Invasive Vital Sign Monitoring (9 papers), ECG Monitoring and Analysis (6 papers), Heart Rate Variability and Autonomic Control (5 papers), Neural dynamics and brain function (2 papers), Indoor and Outdoor Localization Technologies (2 papers), Direction-of-Arrival Estimation Techniques (2 papers) and Gaze Tracking and Assistive Technology (2 papers). The work is most often cited by research in Cognitive Neuroscience (514 citations), Human-Computer Interaction (85 citations), Cardiology and Cardiovascular Medicine (284 citations), Signal Processing (102 citations) and Experimental and Cognitive Psychology (118 citations). Valentin Goverdovsky has collaborated with scholars based in United Kingdom, United States and Denmark. Frequent co-authors include Danilo P. Mandic, David Looney, Wilhelm von Rosenberg, Takashi Nakamura, Mary J. Morrell, Theerasak Chanwimalueang, Preben Kidmose, Usman Jaffer, Christos Papavassiliou and Tricia Adjei. Their work appears in journals such as Royal Society Open Science, IEEE Sensors Journal, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Scientific Reports and IEEE Signal Processing Magazine.

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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