Stratis Ioannidis

7.1k total citations · 2 hit papers
132 papers, 4.0k citations indexed

About

Stratis Ioannidis is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Stratis Ioannidis has authored 132 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Artificial Intelligence, 42 papers in Computer Networks and Communications and 22 papers in Computer Vision and Pattern Recognition. Recurrent topics in Stratis Ioannidis's work include Caching and Content Delivery (31 papers), Wireless Signal Modulation Classification (18 papers) and Opportunistic and Delay-Tolerant Networks (18 papers). Stratis Ioannidis is often cited by papers focused on Caching and Content Delivery (31 papers), Wireless Signal Modulation Classification (18 papers) and Opportunistic and Delay-Tolerant Networks (18 papers). Stratis Ioannidis collaborates with scholars based in United States, France and Mexico. Stratis Ioannidis's co-authors include Kaushik Chowdhury, Kunal Sankhe, Jennifer Dy, Laurent Massoulié, Augustin Chaintreau, Nina Taft, Udi Weinsberg, Deniz Erdoğmuş, Nasim Soltani and Valeria Nikolaenko and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Information Theory and IEEE Transactions on Signal Processing.

In The Last Decade

Stratis Ioannidis

123 papers receiving 3.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks

2018 396 citations James M. Brown, J. Peter Campbell et al. profile →
Deep Learning Convolutional Neural Networks for Radio Identification

2018 261 citations Kunal Sankhe, Stratis Ioannidis et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Stratis Ioannidis United States	29	2.1k	927	838	558	485	132	4.0k
Pål Halvorsen Norway	31	1.3k 0.6×	1.0k 1.1×	301 0.4×	999 1.8×	2.2k 4.6×	313	5.2k
Éric Granger Canada	31	1.5k 0.7×	162 0.2×	229 0.3×	384 0.7×	1.8k 3.8×	208	3.9k
Rick Siow Mong Goh Singapore	26	873 0.4×	585 0.6×	292 0.3×	146 0.3×	642 1.3×	165	2.5k
John Quan United States	6	3.2k 1.5×	265 0.3×	374 0.4×	250 0.4×	1.6k 3.3×	8	4.4k
Ahmed Bouridane United Kingdom	35	1.4k 0.7×	274 0.3×	455 0.5×	322 0.6×	3.1k 6.4×	426	5.4k
Jun Long China	25	889 0.4×	688 0.7×	290 0.3×	127 0.2×	442 0.9×	178	2.5k
Walid El‐Shafai Egypt	37	887 0.4×	471 0.5×	540 0.6×	371 0.7×	2.3k 4.8×	367	4.4k
Piyush Kumar Shukla India	30	842 0.4×	587 0.6×	341 0.4×	455 0.8×	515 1.1×	181	2.8k
Banshidhar Majhi India	31	1.3k 0.6×	433 0.5×	217 0.3×	588 1.1×	1.8k 3.6×	189	3.3k
Marios S. Pattichis United States	28	351 0.2×	272 0.3×	317 0.4×	969 1.7×	1.6k 3.3×	239	3.4k

Countries citing papers authored by Stratis Ioannidis

Since Specialization

Citations

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

Fields of papers citing papers by Stratis Ioannidis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stratis Ioannidis

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Xiang, Ming, Stratis Ioannidis, Edmund Yeh, Carlee Joe‐Wong, & Lili Su. (2025). Empowering Federated Learning With Implicit Gossiping: Mitigating Connection Unreliability Amidst Unknown and Arbitrary Dynamics. IEEE Transactions on Signal Processing. 73. 766–780. 1 indexed citations

Belgiovine, Mauro, et al.. (2024). T-PRIME: Transformer-based Protocol Identification for Machine-learning at the Edge. 1031–1040. 2 indexed citations

Özcan, Gözde, et al.. (2024). Online Submodular Maximization via Online Convex Optimization. Proceedings of the AAAI Conference on Artificial Intelligence. 38(13). 15038–15046.

Gritsenko, Andrey, et al.. (2022). Graph transfer learning. Knowledge and Information Systems. 65(4). 1627–1656. 6 indexed citations

Ioannidis, Stratis, et al.. (2022). Optimizing Designs Using Several Types of Memories on Modern FPGAs. 1–7. 2 indexed citations

Jian, Tong, Yifan Gong, Zheng Zhan, et al.. (2021). Radio Frequency Fingerprinting on the Edge. IEEE Transactions on Mobile Computing. 21(11). 4078–4093. 42 indexed citations

Soltani, Nasim, Guillem Reus-Muns, Batool Salehi, et al.. (2020). RF Fingerprinting Unmanned Aerial Vehicles With Non-Standard Transmitter Waveforms. IEEE Transactions on Vehicular Technology. 69(12). 15518–15531. 86 indexed citations

Dy, Jennifer, Deniz Erdoğmuş, Jayashree Kalpathy–Cramer, et al.. (2020). Fast and Accurate Ranking Regression.. International Conference on Artificial Intelligence and Statistics. 77–88. 3 indexed citations

Li, Matthew, Ken Chang, Connie Y. Chang, et al.. (2020). Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging. npj Digital Medicine. 3(1). 48–48. 77 indexed citations

10.

Sankhe, Kunal, Mauro Belgiovine, Fan Zhou, et al.. (2019). No Radio Left Behind: Radio Fingerprinting Through Deep Learning of Physical-Layer Hardware Impairments. IEEE Transactions on Cognitive Communications and Networking. 6(1). 165–178. 165 indexed citations

11.

Ioannidis, Stratis, et al.. (2019). SIFO: Secure Computational Infrastructure Using FPGA Overlays. International Journal of Reconfigurable Computing. 2019. 1–18. 2 indexed citations

12.

Goodwin, Matthew S., Carla A. Mazefsky, Stratis Ioannidis, Deniz Erdoğmuş, & Matthew Siegel. (2019). Predicting aggression to others in youth with autism using a wearable biosensor. Autism Research. 12(8). 1286–1296. 71 indexed citations

13.

Özdenizci, Ozan, Carla A. Mazefsky, Matthew Siegel, et al.. (2018). Time-Series Prediction of Proximal Aggression Onset in Minimally-Verbal Youth with Autism Spectrum Disorder Using Physiological Biosignals. PubMed. 2018. 5745–5748. 9 indexed citations

14.

Redd, Travis K., J. Peter Campbell, James M. Brown, et al.. (2018). Evaluation of a deep learning image assessment system for detecting severe retinopathy of prematurity. British Journal of Ophthalmology. 103(5). 580–584. 107 indexed citations

15.

Kalpathy–Cramer, Jayashree, J. Peter Campbell, Sang Kim, et al.. (2017). Deep learning for the identification of plus disease in retinopathy of prematurity. Investigative Ophthalmology & Visual Science. 58(8). 5554–5554. 2 indexed citations

16.

Liu, Han, Stratis Ioannidis, Smriti Bhagat, & Chen‐Nee Chuah. (2016). Adding Structure: Social Network Inference with Graph Priors. eScholarship (California Digital Library). 1 indexed citations

17.

Bento, José, et al.. (2012). Group recommendations via multi-armed bandits. 463–464. 5 indexed citations

18.

Karbasi, Amin, Stratis Ioannidis, & Laurent Massoulié. (2011). Adaptive Content Search Through Comparisons. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1 indexed citations

19.

Dandekar, Pranav, Nadia Fawaz, & Stratis Ioannidis. (2011). Privacy Auctions for Inner Product Disclosures. arXiv (Cornell University). 8 indexed citations

20.

Ioannidis, Stratis, Augustin Chaintreau, & Laurent Massoulié. (2009). Optimal and scalable distribution of content updates over a mobile social network. 1422–1430. 192 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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