Iraklis Varlamis

4.7k citations
174 papers · 2.6k indexed · 1 hit paper · h-index 27

Iraklis Varlamis

160 papers receiving 2.4k citations

Hit Papers

Fake news detection: A hybrid CNN-RNN based deep learning...3642021202620222024100200300

Peers

Iraklis Varlamis
Comparison fields: 5 of 143
  • Information Systems 978
  • Artificial Intelligence 962
  • Signal Processing 257
  • Computer Science Applications 101
  • Transportation 104
Replace Vincenzo Moscato with:
Vincenzo Moscato Italy
Mu‐Yen Chen Taiwan
Lian Duan United States
Diego Reforgiato Recupero Italy
Yunchuan Sun China
Aiiad Albeshri Saudi Arabia
Richi Nayak Australia
Payam Barnaghi United Kingdom
Abdelaziz Bouras Qatar
Shah Nazir Pakistan
Iraklis Varlamis relative to Vincenzo Moscato Italy Vincenzo Moscato's profile →
Citations per field
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Vincenzo Moscato · 1×
Citations per year

Countries citing papers authored by Iraklis Varlamis

Since Specialization
Citations

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

Fields of papers citing papers by Iraklis Varlamis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Iraklis Varlamis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Iraklis Varlamis Line = papers co-authored together Iraklis Varlamis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20254
2 20254
3 202421
4 20246
5 20240
6 20240
7 20242
8 202415
9 202416
10 20241
11 20245
12 202423
13 20242
14 202314
15 202138
16 20203
17 201944
18 201921
19 201090
20
SemanticRank: Ranking Keywords and Sentences Using Semantic Graphs
201028

About Iraklis Varlamis

Iraklis Varlamis is a scholar working on Information Systems, Computer Science Applications and Artificial Intelligence, having authored 174 papers that have together received 2.6k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (17 papers), Smart Grid Energy Management (17 papers), Complex Network Analysis Techniques (17 papers), Topic Modeling (16 papers), Web Data Mining and Analysis (15 papers), Data Management and Algorithms (15 papers), Advanced Text Analysis Techniques (13 papers) and Maritime Navigation and Safety (11 papers). The work is most often cited by research in Information Systems (978 citations), Artificial Intelligence (962 citations) and Signal Processing (257 citations). Iraklis Varlamis has collaborated with scholars based in Greece, United States and Qatar. Frequent co-authors include Jamal Abdul Nasir, Magdalini Eirinaki, Christos Sardianos, George Dimitrakopoulos, Konstantinos Tserpes, Fayçal Bensaali, Yassine Himeur, Abbes Amira, George Tsatsaronis and Abdullah Alsalemi. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Scientific Reports.

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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