George Tambouratzis

57 papers receiving 299 citations

Peers

George Tambouratzis
Comparison fields: 5 of 59
  • Artificial Intelligence 199
  • Management Information Systems 56
  • Computer Networks and Communications 41
  • Management Science and Operations Research 39
  • Computer Vision and Pattern Recognition 36
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George Tambouratzis relative to Siniša Nikolić Serbia Siniša Nikolić's profile →
Citations per field
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Citations per year

Countries citing papers authored by George Tambouratzis

Since Specialization
Citations

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

Fields of papers citing papers by George Tambouratzis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Tambouratzis

This figure shows the co-authorship network connecting the top 25 collaborators of George Tambouratzis. A scholar is included among the top collaborators of George Tambouratzis 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 George Tambouratzis. George Tambouratzis 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 1
2 0
3 9
4 2
5
Language-independent hybrid MT with PRESEMT
9
6 1
7
Evaluating the Translation Accuracy of a Novel Language-Independent MT Methodology
0
8
A resource-light phrase scheme for language-portable MT
4
9 7
10 10
11
Implementation of a multi-objective genetic algorithm on word segmentation in modern Greek
4
12 1
13 5
14 3
15 18
16 6
17
Automatic Style Categorisation of Corpora in the Greek Language
3
18 9
19
A Generalization of the M/G/1 Queue
1
20 1

About George Tambouratzis

George Tambouratzis is a scholar working on Artificial Intelligence, Management Information Systems and Music, having authored 65 papers that have together received 329 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (21 papers), Neural Networks and Applications (17 papers) and Topic Modeling (12 papers). The work is most often cited by research in Management Information Systems (56 citations), Artificial Intelligence (199 citations) and Management Science and Operations Research (39 citations). George Tambouratzis has collaborated with scholars based in Greece, United Kingdom and Sweden. Frequent co-authors include D. N. Shanbhag, G. Carayannis, Στέλλα Μαρκαντωνάτου, Tatiana Tambouratzis, Michalis F. Vassiliou, T.J. Stonham, Anders Askenfelt, Stavroula–Evita Fotinea, Sotiris Bersimis and Markos V. Koutras. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The Journal of the Acoustical Society of America and IEEE Transactions on Evolutionary Computation.

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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