Nicholas Samaras

427 total citations
41 papers, 243 citations indexed

About

Nicholas Samaras is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Mechanics of Materials. According to data from OpenAlex, Nicholas Samaras has authored 41 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Control and Systems Engineering, 8 papers in Computer Networks and Communications and 8 papers in Mechanics of Materials. Recurrent topics in Nicholas Samaras's work include Iterative Learning Control Systems (9 papers), Metallurgy and Material Forming (8 papers) and Advanced Control Systems Optimization (5 papers). Nicholas Samaras is often cited by papers focused on Iterative Learning Control Systems (9 papers), Metallurgy and Material Forming (8 papers) and Advanced Control Systems Optimization (5 papers). Nicholas Samaras collaborates with scholars based in Greece, United States and Cyprus. Nicholas Samaras's co-authors include Marwan A. Simaan, Konstantinos Kokkinos, John Pittner, Omiros Iatrellis, Theodor Panagiotakopoulos, Vayos Karayannis, Κωνσταντίνος Μουστάκας, Dimitrios Kosmanos, Apostolos Xenakis and Panos Fitsilis and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and IEEE Transactions on Industry Applications.

In The Last Decade

Nicholas Samaras

36 papers receiving 228 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicholas Samaras Greece 9 60 48 47 46 31 41 243
Sergey Kokin Russia 10 41 0.7× 87 1.8× 52 1.1× 267 5.8× 15 0.5× 52 353
Lingying Zhang China 6 22 0.4× 44 0.9× 185 3.9× 22 0.5× 18 0.6× 13 305
Mohamed Eid France 8 27 0.5× 22 0.5× 65 1.4× 13 0.3× 11 0.4× 36 277
J.M. Ngundam Cameroon 11 20 0.3× 100 2.1× 14 0.3× 281 6.1× 27 0.9× 17 611
Zakwan Skaf United Kingdom 9 19 0.3× 147 3.1× 34 0.7× 34 0.7× 6 0.2× 19 304
Ruicong Han China 10 21 0.3× 25 0.5× 39 0.8× 109 2.4× 4 0.1× 19 337
Sergei Kurashkin Russia 9 22 0.4× 23 0.5× 113 2.4× 44 1.0× 11 0.4× 49 286
Phuong Nguyen Thanh Vietnam 11 29 0.5× 122 2.5× 19 0.4× 125 2.7× 12 0.4× 34 287
В.С. Моркун Ukraine 11 62 1.0× 63 1.3× 235 5.0× 13 0.3× 13 0.4× 77 317
K A Bashmur Russia 8 28 0.5× 27 0.6× 98 2.1× 54 1.2× 8 0.3× 63 238

Countries citing papers authored by Nicholas Samaras

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Samaras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Samaras

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas Samaras. A scholar is included among the top collaborators of Nicholas Samaras 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 Nicholas Samaras. Nicholas Samaras 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.
Iatrellis, Omiros, et al.. (2025). ChatGPT in Doctoral Supervision: Proposing a Tripartite Mentoring Model for AI-Assisted Academic Guidance. International journal of doctoral studies. 20. 9–9.
2.
Kokkinos, Konstantinos, Nicholas Samaras, & Omiros Iatrellis. (2024). European Universities Best Practices: The Case of INVEST EU Alliance. European Scientific Journal ESJ. 25. 1 indexed citations
3.
Iatrellis, Omiros, Nicholas Samaras, Konstantinos Kokkinos, & Theodor Panagiotakopoulos. (2024). Leveraging Generative AI for Sustainable Academic Advising: Enhancing Educational Practices through AI-Driven Recommendations. Sustainability. 16(17). 7829–7829. 8 indexed citations
4.
Kokkinos, Konstantinos, et al.. (2024). A Roadmap for European Universities Policy Recommendation to Achieve HEI Sustainability: The Case of INVEST EU Alliance. European Scientific Journal ESJ. 25. 1 indexed citations
5.
Iatrellis, Omiros, Nicholas Samaras, & Konstantinos Kokkinos. (2024). Towards a Capability Maturity Model for Micro-Credential Providers in European Higher Education. SHILAP Revista de lepidopterología. 3(3). 504–527. 1 indexed citations
6.
Kokkinos, Konstantinos, et al.. (2023). A Comprehensive Survey of Machine Learning Methodologies with Emphasis in Water Resources Management. Applied Sciences. 13(22). 12147–12147. 55 indexed citations
7.
Kokkinos, Konstantinos, Vayos Karayannis, Nicholas Samaras, & Κωνσταντίνος Μουστάκας. (2023). Multi-scenario analysis on hydrogen production development using PESTEL and FCM models. Journal of Cleaner Production. 419. 138251–138251. 13 indexed citations
8.
Iatrellis, Omiros, et al.. (2023). KONX: A Dynamic Approach for Explainable AI in Higher Education. 118–124.
9.
Iatrellis, Omiros, et al.. (2022). An intelligent expert system for academic advising utilizing fuzzy logic and semantic web technologies for smart cities education. Journal of Computers in Education. 10(2). 293–323. 11 indexed citations
10.
11.
Samaras, Nicholas. (2016). Reasons for Adoption. Minnesota Review. 2016(86). 32–33.
12.
Samaras, Nicholas, et al.. (2015). On intrusion detection in opportunistic networks. 6(3). 222–222. 1 indexed citations
13.
Kokkinos, Konstantinos, Athanasios Loukas, Nicholas Samaras, & Omiros Iatrellis. (2011). Integrated Modeling of Hydrological Processes Through OpenMI and Web Services.. University of Thessaly Institutional Repository (University of Thessaly). 409–420. 1 indexed citations
14.
Pittner, John, Nicholas Samaras, & Marwan A. Simaan. (2010). A New Strategy for Optimal Control of Continuous Tandem Cold Metal Rolling. IEEE Transactions on Industry Applications. 46(2). 703–711. 16 indexed citations
15.
16.
Pittner, John, Marwan A. Simaan, & Nicholas Samaras. (2007). A Novel Approach for Optimal Control of Continuous Tandem Cold Metal Rolling. Conference record. 374–381. 8 indexed citations
17.
Pittner, John, Nicholas Samaras, & Marwan A. Simaan. (2003). A simple rolling mill model with linear quadratic optimal controller. Conference Record of the 2002 IEEE Industry Applications Conference. 37th IAS Annual Meeting (Cat. No.02CH37344). 1. 142–149. 6 indexed citations
18.
Samaras, Nicholas & Marwan A. Simaan. (2003). Optimized trajectory tracking control of dynamic multistage metal-cooling processes with nonlinear disturbances. Conference Record of the 2002 IEEE Industry Applications Conference. 37th IAS Annual Meeting (Cat. No.02CH37344). 1. 150–156. 1 indexed citations
19.
Samaras, Nicholas & Marwan A. Simaan. (1998). Water-cooled end-point boundary temperature control of hot strip via dynamic programming. IEEE Transactions on Industry Applications. 34(6). 1335–1341. 14 indexed citations
20.
Samaras, Nicholas & Marwan A. Simaan. (1997). Two-point boundary temperature control of hot strip via water cooling. ISA Transactions. 36(1). 11–20. 12 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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