Ioannis Valavanis

1.1k citations
34 papers · 708 · h-index 14

Impact in

Papers in

Ioannis Valavanis

34 papers receiving 662 citations

Peers

Ioannis Valavanis
Comparison fields: 5 of 96
  • Industrial and Manufacturing Engineering 77
  • Computer Vision and Pattern Recognition 148
  • Radiology, Nuclear Medicine and Imaging 140
  • Health Information Management 25
  • Neurology 44
Replace S. S. Kumar with:
S. S. Kumar India
Kamil Říha Czechia
Susana K. Lai-Yuen United States
Xiaoli Zhou China
L. Jani Anbarasi India
G. Ramkumar India
Muyi Sun China
M. G. F. Costa Brazil
Kwang-Baek Kim South Korea
Haidar Almubarak Saudi Arabia
Ioannis Valavanis relative to S. S. Kumar India S. S. Kumar's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ioannis Valavanis

Since Specialization
Citations

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

Fields of papers citing papers by Ioannis Valavanis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ioannis Valavanis, 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 Ioannis Valavanis Line = papers co-authored together Ioannis Valavanis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010164
2 200695
3 200777
4 201067
5 200439
6 201034
7 201227
8 201623
9 200516
10
Base-Station Location Optimization for LTE Systems with Genetic Algorithms
201415
11 201014
12 201014
13 201413
14 200913
15 201912
16 20159
17 20069
18 20079
19 20179
20 20136

About Ioannis Valavanis

Ioannis Valavanis is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering and Pulmonary and Respiratory Medicine, having authored 34 papers that have together received 708 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (10 papers), Medical Image Segmentation Techniques (6 papers), AI in cancer detection (6 papers), Gene expression and cancer classification (5 papers), Advanced MIMO Systems Optimization (4 papers), Protein Structure and Dynamics (4 papers), Machine Learning in Bioinformatics (4 papers) and Millimeter-Wave Propagation and Modeling (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (77 citations), Computer Vision and Pattern Recognition (148 citations), Radiology, Nuclear Medicine and Imaging (140 citations), Health Information Management (25 citations) and Neurology (44 citations). Ioannis Valavanis has collaborated with scholars based in Greece, Switzerland and Sweden. Frequent co-authors include Konstantina S. Nikita, Dimitrios Kosmopoulos, Stavroula Mougiakakou, Alexandra Nikita, John Stoitsis, Spyretta Golemati, Aristotelis Chatziioannou, Ioannis Andreadis, George M. Spyrou and Keith Grimaldi. Their work appears in journals such as IEEE Journal of Biomedical and Health Informatics, Artificial Intelligence in Medicine, Journal of Biomedical Informatics, BMC Genomics and BMC Bioinformatics.

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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