Ivelin Stoianov

526 citations
6 papers · 354 indexed · h-index 3
Co-authors
John Nerbonne
Topics
Natural Language Processing Techniques (4 papers)Neural Networks and Applications (3 papers)Topic Modeling (2 papers)
Journals
University of Groningen research database (University of Groningen / Centre for Information Technology)Data Archiving and Networked Services (DANS)
Partner nations
Netherlands

In The Last Decade

Ivelin Stoianov

4 papers receiving 317 citations

Peers

Ivelin Stoianov
Comparison fields: 5 of 100
  • Artificial Intelligence 155
  • Electrical and Electronic Engineering 46
  • Control and Systems Engineering 44
  • Computer Vision and Pattern Recognition 40
  • Signal Processing 34
Replace Guido Smits with:
Guido Smits Netherlands
Nayer Wanas Egypt
Emilio Corchado Spain
Peter Stagge Germany
Paweł Cichosz Poland
Nannan Ji China
F. E. White United States
Mark van der Wilk United Kingdom
Xuelian Deng China
Ivelin Stoianov relative to Guido Smits Netherlands Guido Smits's profile →
Citations per field
00.5×1.5×2.4×
Guido Smits · 1×
Citations per year

Countries citing papers authored by Ivelin Stoianov

Since Specialization
Citations

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

Fields of papers citing papers by Ivelin Stoianov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivelin Stoianov

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

All Works

6 of 6 papers shown
#WorkIndexed citations
1
Connectionist lexical processing
24
2 0
3
Connectionist grapheme to phoneme conversion: exploring distributed representation.
1
4
Recurrent neural networks: design and applications
323
5
Modeling the Phonotactic Structure of Natural Language Words with Simple Recurrent Networks
5
6 1

About Ivelin Stoianov

Ivelin Stoianov is a scholar working on Artificial Intelligence, Molecular Biology and Infectious Diseases, having authored 6 papers that have together received 354 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (4 papers), Neural Networks and Applications (3 papers) and Topic Modeling (2 papers). The work is most often cited by research in Artificial Intelligence (155 citations), Signal Processing (34 citations) and Management Science and Operations Research (28 citations). Ivelin Stoianov has collaborated with scholars based in Netherlands. Frequent co-authors include John Nerbonne. Their work appears in journals such as University of Groningen research database (University of Groningen / Centre for Information Technology) and Data Archiving and Networked Services (DANS).

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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