Chris Fietkiewicz

575 citations
24 papers · 426 indexed · h-index 14
Topics
Neuroscience and Neural Engineering (16 papers)Neurological disorders and treatments (16 papers)Parkinson's Disease Mechanisms and Treatments (11 papers)

In The Last Decade

Chris Fietkiewicz

24 papers receiving 417 citations

Peers

Chris Fietkiewicz
Comparison fields: 5 of 69
  • Cellular and Molecular Neuroscience 221
  • Cognitive Neuroscience 205
  • Neurology 158
  • Electrical and Electronic Engineering 116
  • Artificial Intelligence 63
Replace Peter Van Hese with:
Peter Van Hese Belgium
Shivkumar Sabesan United States
Andrew B. Gardner United States
Ying Yu China
Lavi Shpigelman Israel
Manouchehr Javidan Canada
Andrzej W. Przybyszewski United States
Diogo C. Soriano Brazil
Fang Han China
Denggui Fan China
Chris Fietkiewicz relative to Peter Van Hese Belgium Peter Van Hese's profile →
Citations per field
00.5×7.3×
Peter Van Hese · 1×
Citations per year

Countries citing papers authored by Chris Fietkiewicz

Since Specialization
Citations

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

Fields of papers citing papers by Chris Fietkiewicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Fietkiewicz

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

All Works

20 of 20 papers shown
#WorkIndexed citations
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4 17
5 15
6 14
7 1
8 102
9 12
10 32
11 29
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15 21
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About Chris Fietkiewicz

Chris Fietkiewicz is a scholar working on Neurology, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 24 papers that have together received 426 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (16 papers), Neurological disorders and treatments (16 papers) and Parkinson's Disease Mechanisms and Treatments (11 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (221 citations), Cognitive Neuroscience (205 citations) and Neurology (158 citations). Chris Fietkiewicz has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Kenneth A. Loparo, Chen Liu, Huiyan Li, Jiang Wang, Bin Deng, Shuangming Yang, Haitao Yu, Xile Wei, Fei Liu and Changsong Zhou. Their work appears in journals such as Scientific Reports, IEEE Access and IEEE Transactions on Fuzzy Systems.

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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