Ioannis Ch. Paschalidis

6.6k total citations · 1 hit paper
228 papers, 4.1k citations indexed

About

Ioannis Ch. Paschalidis is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Ioannis Ch. Paschalidis has authored 228 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Computer Networks and Communications, 66 papers in Artificial Intelligence and 50 papers in Electrical and Electronic Engineering. Recurrent topics in Ioannis Ch. Paschalidis's work include Energy Efficient Wireless Sensor Networks (26 papers), Advanced Queuing Theory Analysis (24 papers) and Reinforcement Learning in Robotics (20 papers). Ioannis Ch. Paschalidis is often cited by papers focused on Energy Efficient Wireless Sensor Networks (26 papers), Advanced Queuing Theory Analysis (24 papers) and Reinforcement Learning in Robotics (20 papers). Ioannis Ch. Paschalidis collaborates with scholars based in United States, China and Italy. Ioannis Ch. Paschalidis's co-authors include Dimitris Bertsimas, Ruidi Chen, Theodora S. Brisimi, John N. Tsitsiklis, Alex Olshevsky, Theofanie Mela, Wei Shi, John N. Tsitsiklis, Christos G. Cassandras and Michael C. Caramanis and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurology.

In The Last Decade

Ioannis Ch. Paschalidis

215 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.

Federated learning of predictive models from federated Electronic Health Records

2018 586 citations Ruidi Chen, Alex Olshevsky et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ioannis Ch. Paschalidis United States	33	1.2k	1.1k	870	538	525	228	4.1k
Shih-Wei Lin Taiwan	46	1.5k 1.3×	831 0.7×	1.0k 1.2×	209 0.4×	237 0.5×	227	7.1k
Simon Fong Macao	39	2.8k 2.4×	917 0.8×	712 0.8×	160 0.3×	588 1.1×	428	7.1k
Xiao Liu China	44	1.3k 1.1×	2.2k 1.9×	553 0.6×	261 0.5×	440 0.8×	433	6.7k
Jun Shen Australia	36	1.6k 1.4×	1.4k 1.2×	846 1.0×	286 0.5×	227 0.4×	479	6.3k
Ann Nowé Belgium	32	1.6k 1.3×	586 0.5×	747 0.9×	97 0.2×	794 1.5×	305	4.5k
Alok Aggarwal United States	30	1.1k 0.9×	1.8k 1.6×	737 0.8×	247 0.5×	130 0.2×	159	4.4k
Yixin Chen United States	36	2.2k 1.8×	1.5k 1.4×	578 0.7×	61 0.1×	409 0.8×	222	5.4k
Randall Wald United States	20	1.5k 1.2×	431 0.4×	256 0.3×	188 0.3×	368 0.7×	70	3.3k
Wagner Meira Brazil	40	2.1k 1.8×	1.8k 1.6×	458 0.5×	121 0.2×	402 0.8×	317	6.5k
Sungyoung Lee South Korea	41	2.1k 1.7×	1.8k 1.6×	893 1.0×	116 0.2×	330 0.6×	361	6.5k

Countries citing papers authored by Ioannis Ch. Paschalidis

Since Specialization

Citations

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

Fields of papers citing papers by Ioannis Ch. Paschalidis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ioannis Ch. Paschalidis

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

All Works

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20 of 20 papers shown

Mishuris, Rebecca G., et al.. (2025). Accounting for racial bias and social determinants of health in a model of hypertension control. BMC Medical Informatics and Decision Making. 25(1). 53–53.

Andrianesis, Panagiotis, et al.. (2025). Distributed Economic Dispatch in Power Networks Incorporating Data Center Flexibility. IEEE Transactions on Sustainable Computing. 10(4). 768–783.

Hu, Yang, William G. Adams, Sabrina A. Assoumou, et al.. (2024). A GPT-based EHR modeling system for unsupervised novel disease detection. Journal of Biomedical Informatics. 157. 104706–104706. 2 indexed citations

Yland, Jennifer J., Tanran R. Wang, Amelia K. Wesselink, et al.. (2024). Predictive models of miscarriage on the basis of data from a preconception cohort study. Fertility and Sterility. 122(1). 140–149. 4 indexed citations

Shen, G.D., et al.. (2023). Attention hybrid variational net for accelerated MRI reconstruction. SHILAP Revista de lepidopterología. 1(4). 4 indexed citations

Karjadi, Cody, et al.. (2023). Predicting Transitions from Mild Cognitive Impairment to Dementia within 5‐years. Alzheimer s & Dementia. 19(S18). 1 indexed citations

Eastep, Jonathan, et al.. (2023). An End-to-End HPC Framework for Dynamic Power Objectives. 1801–1811.

Au, Rhoda, Vijaya B. Kolachalama, & Ioannis Ch. Paschalidis. (2022). Redefining and Validating Digital Biomarkers as Fluid, Dynamic Multi-Dimensional Digital Signal Patterns. Frontiers in Digital Health. 3. 751629–751629. 12 indexed citations

Pu, Shi, Alex Olshevsky, & Ioannis Ch. Paschalidis. (2021). A Sharp Estimate on the Transient Time of Distributed Stochastic Gradient Descent. IEEE Transactions on Automatic Control. 67(11). 5900–5915. 23 indexed citations

10.

Zhang, Yijia, et al.. (2021). HPC Data Center Participation in Demand Response: An Adaptive Policy With QoS Assurance. IEEE Transactions on Sustainable Computing. 7(1). 157–171. 14 indexed citations

11.

Xue, Chonghua, Cody Karjadi, Ioannis Ch. Paschalidis, Rhoda Au, & Vijaya B. Kolachalama. (2021). Detection of dementia on voice recordings using deep learning: a Framingham Heart Study. Alzheimer s Research & Therapy. 13(1). 146–146. 52 indexed citations

12.

Pu, Shi, Alex Olshevsky, & Ioannis Ch. Paschalidis. (2020). Asymptotic Network Independence in Distributed Stochastic Optimization for Machine Learning: Examining Distributed and Centralized Stochastic Gradient Descent. IEEE Signal Processing Magazine. 37(3). 114–122. 37 indexed citations

13.

Zhu, Henghui, et al.. (2020). Enhancing Clinical BERT Embedding using a Biomedical Knowledge Base. 657–661. 29 indexed citations

14.

Wang, Taiyao, et al.. (2020). Predictive Models of Mortality for Hospitalized Patients With COVID-19: Retrospective Cohort Study. JMIR Medical Informatics. 8(10). e21788–e21788. 9 indexed citations

15.

Chen, Ruidi & Ioannis Ch. Paschalidis. (2019). Selecting Optimal Decisions via Distributionally Robust Nearest-Neighbor Regression. Neural Information Processing Systems. 32. 748–758. 3 indexed citations

16.

Olshevsky, Alex, Ioannis Ch. Paschalidis, & Shi Pu. (2019). Asymptotic Network Independence in Distributed Optimization for Machine Learning. arXiv (Cornell University). 1 indexed citations

17.

Olshevsky, Alex, Ioannis Ch. Paschalidis, & Shi Pu. (2019). A Non-Asymptotic Analysis of Network Independence for Distributed Stochastic Gradient Descent. arXiv (Cornell University). 6 indexed citations

18.

Naser‐Moghadasi, Mohammad, Dima Kozakov, Pirooz Vakili, Sándor Vajda, & Ioannis Ch. Paschalidis. (2013). A new distributed algorithm for side-chain positioning in the process of protein docking. PubMed. 78. 739–744. 3 indexed citations

19.

Zhao, Qi, Thomas Edrich, & Ioannis Ch. Paschalidis. (2013). A predictive model for the anticoagulant bivalirudin administered to cardiac surgical patients. PubMed. 121–126.

20.

Naser‐Moghadasi, Mohammad, Dima Kozakov, Artem B. Mamonov, et al.. (2012). A message passing approach to Side Chain Positioning with applications in protein docking refinement. PubMed. 4029. 2310–2315. 3 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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