Dimitri Kartsaklis

848 total citations
15 papers, 331 citations indexed

About

Dimitri Kartsaklis is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Dimitri Kartsaklis has authored 15 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Computational Theory and Mathematics. Recurrent topics in Dimitri Kartsaklis's work include Topic Modeling (13 papers), Natural Language Processing Techniques (12 papers) and Speech and dialogue systems (2 papers). Dimitri Kartsaklis is often cited by papers focused on Topic Modeling (13 papers), Natural Language Processing Techniques (12 papers) and Speech and dialogue systems (2 papers). Dimitri Kartsaklis collaborates with scholars based in United Kingdom and United States. Dimitri Kartsaklis's co-authors include Mehrnoosh Sadrzadeh, Stephen Pulman, Jianpeng Cheng, Matthew Purver, Mohammad Taher Pilehvar, Nigel Collier, Konstantinos Meichanetzidis, Bob Coecke, Nal Kalchbrenner and J. D. Williams and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Artificial Intelligence Research and Quantum Machine Intelligence.

In The Last Decade

Dimitri Kartsaklis

15 papers receiving 298 citations

Peers

Dimitri Kartsaklis
Comparison fields: 5 of 34
  • Artificial Intelligence 314
  • Computer Vision and Pattern Recognition 33
  • Computational Theory and Mathematics 20
  • Molecular Biology 15
  • Information Systems 14
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Citations per field, relative to Dimitri Kartsaklis
Dimitri Kartsaklis · 1×
Citations per year, relative to Dimitri Kartsaklis
Dimitri Kartsaklis · 1×

Countries citing papers authored by Dimitri Kartsaklis

Since Specialization
Citations

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

Fields of papers citing papers by Dimitri Kartsaklis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dimitri Kartsaklis

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

All Works

15 of 15 papers shown
# Work Indexed citations
1 1
2 41
3 24
4
Sentence entailment in compositional distributional semantics
8
5 28
6 3
7 1
8 4
9 30
10 11
11 53
12 28
13 41
14
Separating Disambiguation from Composition in Distributional Semantics
25
15
A Unified Sentence Space for Categorical Distributional-Compositional Semantics: Theory and Experiments
33

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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