Nicola Conci
About
In The Last Decade
Nicola Conci
113 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 118
- Computer Vision and Pattern Recognition 730
- Artificial Intelligence 506
- Computer Networks and Communications 114
- Signal Processing 98
- Sociology and Political Science 91
Countries citing papers authored by Nicola Conci
This map shows the geographic impact of Nicola Conci'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 Nicola Conci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicola Conci more than expected).
Fields of papers citing papers by Nicola Conci
This network shows the impact of papers produced by Nicola Conci. 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 Nicola Conci. The network helps show where Nicola Conci may publish in the future.
Co-authorship network of co-authors of Nicola Conci
This figure shows the co-authorship network connecting the top 25 collaborators of Nicola Conci. A scholar is included among the top collaborators of Nicola Conci 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 Nicola Conci. Nicola Conci 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 | 3 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 5 | |
| 11 | 83 | |
| 12 | Deep Learning Approaches for Flood Classification and Flood Aftermath Detection. | 9 |
| 13 | Convolutional Neural Networks for Disaster Images Retrieval. | 30 |
| 14 | CNN and GAN Based Satellite and Social Media Data Fusion for Disaster Detection. | 27 |
| 15 | Introducing Neuroberry, a platform for pervasive EEG signaling in the IoT domain | 3 |
| 16 | 30 | |
| 17 | Synchronization of Multi-User Event Media (SEM) at MediaEval 2014: Task Description, Datasets, and Evaluation. | 12 |
| 18 | Particles cross-influence for entity grouping | 12 |
| 19 | Camera positioning for global and local coverage optimization | 9 |
| 20 | Eye tracking as an accessible assistive tool | 5 |
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.