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.
Countries citing papers authored by Konstantinos Diamantaras
Since
Specialization
Citations
This map shows the geographic impact of Konstantinos Diamantaras'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 Konstantinos Diamantaras with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Konstantinos Diamantaras more than expected).
Fields of papers citing papers by Konstantinos Diamantaras
This network shows the impact of papers produced by Konstantinos Diamantaras. 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 Konstantinos Diamantaras. The network helps show where Konstantinos Diamantaras may publish in the future.
Co-authorship network of co-authors of Konstantinos Diamantaras
This figure shows the co-authorship network connecting the top 25 collaborators of Konstantinos Diamantaras.
A scholar is included among the top collaborators of Konstantinos Diamantaras 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 Konstantinos Diamantaras. Konstantinos Diamantaras is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Καλιακάτσος-Παπακώστας, Μάξιμος, et al.. (2020). Innovative Applications of Natural Language Processing and Digital Media in Theatre and Performing Arts. University of Zagreb University Computing Centre (SRCE). 6(1). 84–96.2 indexed citations
Diamantaras, Konstantinos, et al.. (2015). ORIENTED PCA AND BLIND SIGNAL SEPARATION.
15.
Vafeiadis, Thanasis, et al.. (2015). A comparison of machine learning techniques for customer churn prediction. Simulation Modelling Practice and Theory. 55. 1–9.312 indexed citations breakdown →
16.
Diamantaras, Konstantinos, et al.. (2006). Greek Named Entity Recognition using Support Vector Machines, Maximum Entropy and Onetime. Language Resources and Evaluation. 47–52.8 indexed citations
17.
Salampasis, Michail & Konstantinos Diamantaras. (2006). Experimental User-Centered Evaluation of an Open Hypermedia System and Web Information Seeking Environments. Texas Digital Library (University of Texas). 2(4).4 indexed citations
Kung, Sun‐Yuan, et al.. (1992). Generalized perceptron networks with nonlinear discriminant functions. Neural Networks. 245–279.5 indexed citations
20.
Diamantaras, Konstantinos, D. Heine, & Isaac D. Scherson. (1990). Implementation of Neural Network Algorithms on the P 3 Parallel Associative Processor.. Proceedings of the International Conference on Parallel Processing. 247–250.1 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.