Christos Baziotis

902 citations
7 papers · 436 indexed · 1 hit paper · h-index 6
Topics
Topic Modeling (5 papers)Natural Language Processing Techniques (4 papers)Multimodal Machine Learning Applications (3 papers)
Journals
Database
Partner nations
GreeceUnited Kingdom

In The Last Decade

Christos Baziotis

7 papers receiving 379 citations

Hit Papers

DataStories at SemEval-2017 Task 4: Deep LSTM with Attent...20172026202020232017100200300

Peers

Christos Baziotis
Comparison fields: 5 of 61
  • Artificial Intelligence 375
  • Information Systems 72
  • Sociology and Political Science 55
  • Computer Vision and Pattern Recognition 37
  • Social Psychology 36
Replace Geetanjali Garg with:
Geetanjali Garg India
Lalindra De Silva United States
R Rajasree India
Saurabh Raj Sangwan India
Adrián Pastor López-Monroy Mexico
Ranjan Satapathy Singapore
Manoj Kumar Chinnakotla India
Gustavo Hernández Ábrego United States
Sixing Wu China
Christos Baziotis relative to Geetanjali Garg India Geetanjali Garg's profile →
Citations per field
00.5×10×15.6×
Geetanjali Garg · 1×
Citations per year

Countries citing papers authored by Christos Baziotis

Since Specialization
Citations

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

Fields of papers citing papers by Christos Baziotis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christos Baziotis

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

All Works

About Christos Baziotis

Christos Baziotis is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 7 papers that have together received 436 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Natural Language Processing Techniques (4 papers) and Multimodal Machine Learning Applications (3 papers). The work is most often cited by research in Artificial Intelligence (375 citations), Information Systems (72 citations) and Communication (13 citations). Christos Baziotis has collaborated with scholars based in Greece and United Kingdom. Frequent co-authors include Christos Doulkeridis, Nikos Pelekis, Alexandros Potamianos, Alexandra Chronopoulou, Ioannis Konstas, Ion Androutsopoulos, James H. Cross, Mikel Artetxe, Shruti Bhosale and Prashant Mathur. Their work appears in journals such as Database.

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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