Chris Lytridis

873 total citations
42 papers, 489 citations indexed

About

Chris Lytridis is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Social Psychology. According to data from OpenAlex, Chris Lytridis has authored 42 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 10 papers in Cognitive Neuroscience and 9 papers in Social Psychology. Recurrent topics in Chris Lytridis's work include Social Robot Interaction and HRI (9 papers), Smart Agriculture and AI (7 papers) and Autism Spectrum Disorder Research (7 papers). Chris Lytridis is often cited by papers focused on Social Robot Interaction and HRI (9 papers), Smart Agriculture and AI (7 papers) and Autism Spectrum Disorder Research (7 papers). Chris Lytridis collaborates with scholars based in Greece, Morocco and Bulgaria. Chris Lytridis's co-authors include Vassilis G. Kaburlasos, Avgoustos Tsınakos, Εleni Vrochidou, Ioannis Kazanidis, Theodore Pachidis, George A. Papakostas, Τheofanis Kalampokas, G.S. Virk, Endre E. Kádár and George Sidiropoulos and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Journal of Autism and Developmental Disorders.

In The Last Decade

Chris Lytridis

41 papers receiving 472 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chris Lytridis Greece	12	114	105	82	72	59	42	489
Kwang-Eun Ko South Korea	9	76 0.7×	199 1.9×	130 1.6×	138 1.9×	36 0.6×	68	538
Venkata Krishna Kishore Kolli India	14	188 1.6×	189 1.8×	220 2.7×	23 0.3×	39 0.7×	71	815
Heyoung Lee South Korea	10	174 1.5×	84 0.8×	21 0.3×	31 0.4×	61 1.0×	20	666
Jaeyeon Lee South Korea	12	55 0.5×	208 2.0×	71 0.9×	117 1.6×	149 2.5×	72	666
Antonio Marı́n-Hernández Mexico	14	47 0.4×	200 1.9×	58 0.7×	34 0.5×	100 1.7×	83	556
Ahmad Sufril Azlan Mohamed Malaysia	13	49 0.4×	154 1.5×	62 0.8×	18 0.3×	33 0.6×	52	479
Juan Pablo Garćıa-Vázquez Mexico	12	83 0.7×	141 1.3×	64 0.8×	50 0.7×	9 0.2×	52	779
Sebastian von Mammen Germany	13	20 0.2×	118 1.1×	57 0.7×	37 0.5×	27 0.5×	94	489
Pedro C. Santana‐Mancilla Mexico	12	162 1.4×	79 0.8×	61 0.7×	50 0.7×	10 0.2×	72	724
Walid Mahdi Tunisia	12	46 0.4×	160 1.5×	103 1.3×	17 0.2×	18 0.3×	50	460

Countries citing papers authored by Chris Lytridis

Since Specialization

Citations

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

Fields of papers citing papers by Chris Lytridis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Lytridis

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Lytridis. A scholar is included among the top collaborators of Chris Lytridis 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 Chris Lytridis. Chris Lytridis 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

Lytridis, Chris & Theodore Pachidis. (2024). Recent Advances in Agricultural Robots for Automated Weeding. AgriEngineering. 6(3). 3279–3296. 6 indexed citations

Lytridis, Chris, et al.. (2023). Cooperative Grape Harvesting Using Heterogeneous Autonomous Robots. Robotics. 12(6). 147–147. 10 indexed citations

Lytridis, Chris, et al.. (2023). Grape Maturity Estimation for Personalized Agrobot Harvest by Fuzzy Lattice Reasoning (FLR) on an Ontology of Constraints. Sustainability. 15(9). 7331–7331. 2 indexed citations

Lytridis, Chris, et al.. (2023). Comparative Assessment of Environmental/Energy Performance under Conventional Labor and Collaborative Robot Scenarios in Greek Viticulture. Sustainability. 15(3). 2753–2753. 11 indexed citations

Bouloumpasi, Elisavet, et al.. (2023). A Deep Learning Approach for Precision Viticulture, Assessing Grape Maturity via YOLOv7. Sensors. 23(19). 8126–8126. 20 indexed citations

Qbadou, Mohammed, et al.. (2022). Towards Robot-Assisted Therapy for Children With Autism—The Ontological Knowledge Models and Reinforcement Learning-Based Algorithms. Frontiers in Robotics and AI. 9. 713964–713964. 15 indexed citations

Holeva, Vasiliki, Vasiliki Aliki Nikopoulou, Chris Lytridis, et al.. (2022). Effectiveness of a Robot-Assisted Psychological Intervention for Children with Autism Spectrum Disorder. Journal of Autism and Developmental Disorders. 54(2). 577–593. 20 indexed citations

Lytridis, Chris, Vassilis G. Kaburlasos, George A. Papakostas, et al.. (2022). Behavioral Data Analysis of Robot-Assisted Autism Spectrum Disorder (ASD) Interventions Based on Lattice Computing Techniques. Sensors. 22(2). 621–621. 8 indexed citations

Kaburlasos, Vassilis G., Chris Lytridis, Εleni Vrochidou, et al.. (2021). Granule-Based-Classifier (GbC): A Lattice Computing Scheme Applied on Tree Data Structures. Mathematics. 9(22). 2889–2889. 6 indexed citations

10.

Vrochidou, Εleni, et al.. (2021). Time-Series of Distributions Forecasting in Agricultural Applications: An Intervals’ Numbers Approach. 5(1). 12–12. 5 indexed citations

11.

Papakostas, George A., et al.. (2021). Estimating Children Engagement Interacting with Robots in Special Education Using Machine Learning. Mathematical Problems in Engineering. 2021. 1–10. 6 indexed citations

12.

Vrochidou, Εleni, et al.. (2021). Brain Signals Classification Based on Fuzzy Lattice Reasoning. Mathematics. 9(9). 1063–1063. 3 indexed citations

13.

Vrochidou, Εleni, et al.. (2020). Fuzzy Lattice Reasoning for Brain Signal Classification.. JUCS - Journal of Universal Computer Science. 26. 1175–1195. 2 indexed citations

14.

Lytridis, Chris, George Sidiropoulos, George A. Papakostas, et al.. (2020). Distance Special Education Delivery by Social Robots. Electronics. 9(6). 1034–1034. 22 indexed citations

15.

Lytridis, Chris, et al.. (2019). Audio Signal Recognition Based on Intervals’ Numbers (INs) Classification Techniques. 1–4. 4 indexed citations

16.

Lytridis, Chris, Εleni Vrochidou, & Vassilis G. Kaburlasos. (2018). Emotional Speech Recognition toward Modulating the Behavior of a Social Robot. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2018(0). 1A1–B14. 3 indexed citations

17.

Lytridis, Chris & Avgoustos Tsınakos. (2017). mLearn: A Mobile Learning Platform. Journal of Engineering Science and Technology Review. 10(4). 81–86. 4 indexed citations

18.

Lytridis, Chris, Endre E. Kádár, & G.S. Virk. (2006). A systematic approach to the problem of odour source localisation. Autonomous Robots. 20(3). 261–276. 25 indexed citations

19.

Lytridis, Chris, et al.. (2001). Odor-Based Navigational Strategies for Mobile Agents. Adaptive Behavior. 9(3-4). 171–187. 21 indexed citations

20.

Virk, G.S., et al.. (2001). Cooperative target searching in a diffusion field. 567–571. 1 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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