Ioannis Rallis

817 total citations
43 papers, 486 citations indexed

About

Ioannis Rallis is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Ioannis Rallis has authored 43 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 15 papers in Control and Systems Engineering and 9 papers in Artificial Intelligence. Recurrent topics in Ioannis Rallis's work include Human Motion and Animation (15 papers), Human Pose and Action Recognition (15 papers) and Video Analysis and Summarization (10 papers). Ioannis Rallis is often cited by papers focused on Human Motion and Animation (15 papers), Human Pose and Action Recognition (15 papers) and Video Analysis and Summarization (10 papers). Ioannis Rallis collaborates with scholars based in Greece, Malta and Canada. Ioannis Rallis's co-authors include Nikolaos Doulamis, Anastasios Doulamis, Ioannis Georgoulas, George Kopsiaftis, Athanasios Voulodimos, Eftychios Protopapadakis, Nikos Temenos, Dimitris Kalogeras, Anastasios Doulamis and Maria Kaselimi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Sustainability.

In The Last Decade

Ioannis Rallis

37 papers receiving 468 citations

Peers

Ioannis Rallis
T Anjali India
Zhibin Li China
Jiang Wu China
Raihan Ul Islam Bangladesh
Ioannis Rallis
Citations per year, relative to Ioannis Rallis Ioannis Rallis (= 1×) peers Ricardo Araújo

Countries citing papers authored by Ioannis Rallis

Since Specialization
Citations

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

Fields of papers citing papers by Ioannis Rallis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ioannis Rallis

This figure shows the co-authorship network connecting the top 25 collaborators of Ioannis Rallis. A scholar is included among the top collaborators of Ioannis Rallis 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 Ioannis Rallis. Ioannis Rallis 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
1.
Rallis, Ioannis, et al.. (2025). Empowering Communities Through Gamified Urban Design Solutions. Smart Cities. 8(2). 44–44.
4.
Rallis, Ioannis, et al.. (2024). Segmentation of Remote Sensing Data with Missing Modalities Through Prototype Knowledge Distillation. Zenodo (CERN European Organization for Nuclear Research). 10015–10018. 1 indexed citations
5.
Temenos, Nikos, et al.. (2024). Enhancing Internet of Medical Things security with artificial intelligence: A comprehensive review. Computers in Biology and Medicine. 170. 108036–108036. 33 indexed citations
6.
Temenos, Nikos, et al.. (2024). Identifying False Negative Flood Events Using Interpretable Deep Learning Framework. Zenodo (CERN European Organization for Nuclear Research). 2155–2158. 1 indexed citations
9.
Temenos, Nikos, et al.. (2024). C2A-DC: A context-aware adaptive data cube framework for environmental monitoring and climate change crisis management. Remote Sensing Applications Society and Environment. 34. 101171–101171. 8 indexed citations
10.
Rallis, Ioannis, et al.. (2023). Dynamically tangible cultural heritage monitoring from web video sources. 610–616. 1 indexed citations
11.
Rallis, Ioannis, et al.. (2022). Tensor-Based Learning for Detecting Abnormalities on Digital Mammograms. Diagnostics. 12(10). 2389–2389. 1 indexed citations
12.
Kaselimi, Maria, et al.. (2022). Novel Insights in Spatial Epidemiology Utilizing Explainable AI (XAI) and Remote Sensing. Remote Sensing. 14(13). 3074–3074. 30 indexed citations
13.
Rallis, Ioannis, Ioannis Georgoulas, George Kopsiaftis, et al.. (2022). Interpretation of net promoter score attributes using explainable AI. 113–117. 2 indexed citations
14.
Rallis, Ioannis, et al.. (2020). ADAPTABLE AUTOREGRESSIVE MOVING AVERAGE FILTER TRIGGERING CONVOLUTIONAL NEURAL NETWORKS FOR CHOREOGRAPHIC MODELING. SHILAP Revista de lepidopterología. V-2-2020. 467–474.
15.
Protopapadakis, Eftychios, Ioannis Rallis, Anastasios Doulamis, Nikolaos Doulamis, & Athanasios Voulodimos. (2020). Unsupervised 3D Motion Summarization Using Stacked Auto-Encoders. Applied Sciences. 10(22). 8226–8226. 2 indexed citations
16.
Kopsiaftis, George, et al.. (2020). Confusion Matrix Analysis for NPS. 192–196. 1 indexed citations
17.
Kondylakis, Haridimos, et al.. (2020). R2D2: A Dbpedia Chatbot Using Triple-Pattern Like Queries. Algorithms. 13(9). 217–217. 4 indexed citations
18.
Rallis, Ioannis, Nikolaos Doulamis, Athanasios Voulodimos, & Anastasios Doulamis. (2018). Hierarchical Sparse Modeling for Representative Selection in Choreographic Time Series. 5. 1023–1027. 4 indexed citations
19.
Voulodimos, Athanasios, et al.. (2018). Kinematics-based Extraction of Salient 3D Human Motion Data for Summarization of Choreographic Sequences. 3013–3018. 7 indexed citations

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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