Sandro Skansi
About
In The Last Decade
Sandro Skansi
14 papers receiving 229 citations
Peers
Comparison fields: 5 of 115
- Artificial Intelligence 73
- Electrical and Electronic Engineering 40
- Computer Vision and Pattern Recognition 31
- Control and Systems Engineering 20
- Computer Networks and Communications 19
Countries citing papers authored by Sandro Skansi
This map shows the geographic impact of Sandro Skansi'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 Sandro Skansi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandro Skansi more than expected).
Fields of papers citing papers by Sandro Skansi
This network shows the impact of papers produced by Sandro Skansi. 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 Sandro Skansi. The network helps show where Sandro Skansi may publish in the future.
Co-authorship network of co-authors of Sandro Skansi
This figure shows the co-authorship network connecting the top 25 collaborators of Sandro Skansi. A scholar is included among the top collaborators of Sandro Skansi 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 Sandro Skansi. Sandro Skansi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Title | Journal | Authors | Indexed citations |
|---|---|---|---|---|
| 1 | Chrono Initialized LSTM Networks With Layer Normalization | IEEE Access | Biljana Mileva Boshkoska, Sandro Skansi et al. | 4 |
| 2 | Je li matematika humanistička znanost? | Filozofska istraživanja | Sandro Skansi et al. | 1 |
| 3 | The Role of Process Ontology in Cybernetics | Sandro Skansi et al. | 2 | |
| 4 | A Prolegomenon on the Philosophical Foundations of Deep Learning as Theory of (Artificial) Intelligence | Sandro Skansi et al. | 1 | |
| 5 | A Method for MBTI Classification Based on Impact of Class Components | IEEE Access | Boris Vrdoljak, Sandro Skansi et al. | 16 |
| 6 | Guide to Deep Learning Basics | Sandro Skansi | 4 | |
| 7 | Evaluation of Structural Hyperparameters for Text Classification with LSTM Networks | Boris Vrdoljak, Sandro Skansi et al. | 6 | |
| 8 | A Different Approach for Clique and Household Analysis in Synthetic Telecom Data Using Propositional Logic | Sandro Skansi et al. | 2 | |
| 9 | Introduction to Deep Learning From Logical Calculus to Artificial Intelligence | Zenodo (CERN European Organization for Nuclear Research) | Sandro Skansi | 48 |
| 10 | Introduction to Deep Learning | Sandro Skansi | 155 | |
| 11 | Croatian Emotional Speech Analyses on a Basis of Acoustic and Linguistic Features | University of Zagreb University Computing Centre (SRCE) | Sandro Skansi et al. | 1 |
| 12 | Emotional state estimation methodology based on acoustic speech features | Sandro Skansi, Leo Mršić et al. | 1 | |
| 13 | Analyzing Affective States using Acoustic and Linguistic Features | Sandro Skansi et al. | 2 | |
| 14 | Reciprocal payers identification in banking logs using SAT solvers | Sandro Skansi et al. | 1 |
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.