Cristian Grozea

3.7k citations
30 papers · 956 indexed · h-index 13
Topics
Topic Modeling (9 papers)EEG and Brain-Computer Interfaces (8 papers)Natural Language Processing Techniques (8 papers)

In The Last Decade

Cristian Grozea

24 papers receiving 895 citations

Peers

Cristian Grozea
Comparison fields: 5 of 90
  • Cognitive Neuroscience 588
  • Cellular and Molecular Neuroscience 346
  • Artificial Intelligence 190
  • Biomedical Engineering 144
  • Human-Computer Interaction 100
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Citations per field
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Countries citing papers authored by Cristian Grozea

Since Specialization
Citations

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

Fields of papers citing papers by Cristian Grozea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cristian Grozea

This figure shows the co-authorship network connecting the top 25 collaborators of Cristian Grozea. A scholar is included among the top collaborators of Cristian Grozea 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 Cristian Grozea. Cristian Grozea 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
1 0
2 0
3 0
4
Findings of the WMT 2018 Biomedical Translation Shared Task: Evaluation on Medline test sets
0
5 20
6 48
7
Kernel Methods and String Kernels for Authorship Analysis.
19
8
Brainsignals Submission to Plant Identification Task at ImageCLEF 2012.
1
9
Encoplot - Tuned for High Recall (also Proposing a New Plagiarism Detection Score).
3
10 131
11 113
12 1
13
Kernel Methods and String Kernels for Authorship Analysis Notebook for PAN at CLEF 2012
3
14 203
15 34
16
Subject independent EEG-based BCI decoding
39
17 186
18
Finding optimal parameter settings for high performance word sense disambiguation
19
19
Plagiarism Detection with State of the Art Compression Programs
3
20 2

About Cristian Grozea

Cristian Grozea is a scholar working on Human-Computer Interaction, Artificial Intelligence and Cognitive Neuroscience, having authored 30 papers that have together received 956 indexed citations. Recurring topics across this work include Topic Modeling (9 papers), EEG and Brain-Computer Interfaces (8 papers) and Natural Language Processing Techniques (8 papers). The work is most often cited by research in Cognitive Neuroscience (588 citations), Cellular and Molecular Neuroscience (346 citations) and Human-Computer Interaction (100 citations). Cristian Grozea has collaborated with scholars based in Germany, Romania and United States. Frequent co-authors include Siamac Fazli, C Voinescu, Marius Popescu, Florin Popescu, Márton Danóczy, Klaus‐Robert Müller, Benjamin Blankertz, Christian Gehl, Jed A. Hartings and Michael Scheel. Their work appears in journals such as NeuroImage, Brain and Physics in Medicine and Biology.

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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