Ioannis Ch. Paschalidis
- Artificial Intelligence top 1%
- Computer Networks and Communications top 1%
- Electrical and Electronic Engineering top 5%
- Management Information Systems top 1%
- Molecular Biology
- Co-authors
- Dimitris BertsimasRuidi ChenTheodora S. BrisimiJohn N. TsitsiklisAlex OlshevskyTheofanie MelaWei ShiChristos G. Cassandras
- Topics
- Energy Efficient Wireless Sensor Networks (26 papers)Advanced Queuing Theory Analysis (24 papers)Reinforcement Learning in Robotics (20 papers)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Ioannis Ch. Paschalidis
215 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 178
- Artificial Intelligence 1.2k
- Computer Networks and Communications 1.1k
- Electrical and Electronic Engineering 870
- Management Information Systems 538
- Molecular Biology 525
Countries citing papers authored by Ioannis Ch. Paschalidis
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 12 | |
| 9 | 23 | |
| 10 | 14 | |
| 11 | 52 | |
| 12 | 37 | |
| 13 | 29 | |
| 14 | 9 | |
| 15 | Selecting Optimal Decisions via Distributionally Robust Nearest-Neighbor Regression | 3 |
| 16 | Asymptotic Network Independence in Distributed Optimization for Machine Learning | 1 |
| 17 | A Non-Asymptotic Analysis of Network Independence for Distributed Stochastic Gradient Descent | 6 |
| 18 | 3 | |
| 19 | 0 | |
| 20 | 3 |
About Ioannis Ch. Paschalidis
Ioannis Ch. Paschalidis is a scholar working on Computer Networks and Communications, Management Information Systems and Health Informatics, having authored 228 papers that have together received 4.1k indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (26 papers), Advanced Queuing Theory Analysis (24 papers) and Reinforcement Learning in Robotics (20 papers). The work is most often cited by research in Health Informatics (142 citations), Management Information Systems (538 citations) and Computer Networks and Communications (1.1k citations). Ioannis Ch. Paschalidis has collaborated with scholars based in United States, China and Italy. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurology.
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.