Boris Chidlovskii
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Signal Processing top 10%
- Co-authors
- Gabriela CsurkaStéphane ClinchantUwe M. BorghoffJérôme RevaudYohann CabonShuzhe WangVincent LeroyRiccardo Volpi
- Topics
- Advanced Database Systems and Queries (10 papers)Web Data Mining and Analysis (10 papers)Data Management and Algorithms (9 papers)
- Partner nations
- FranceSouth KoreaUnited States
In The Last Decade
Boris Chidlovskii
53 papers receiving 569 citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Artificial Intelligence 261
- Computer Vision and Pattern Recognition 237
- Information Systems 163
- Computer Networks and Communications 144
- Signal Processing 81
Countries citing papers authored by Boris Chidlovskii
This map shows the geographic impact of Boris Chidlovskii'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 Boris Chidlovskii with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boris Chidlovskii more than expected).
Fields of papers citing papers by Boris Chidlovskii
This network shows the impact of papers produced by Boris Chidlovskii. 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 Boris Chidlovskii. The network helps show where Boris Chidlovskii may publish in the future.
Co-authorship network of co-authors of Boris Chidlovskii
This figure shows the co-authorship network connecting the top 25 collaborators of Boris Chidlovskii. A scholar is included among the top collaborators of Boris Chidlovskii 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 Boris Chidlovskii. Boris Chidlovskii is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | DUSt3R: Geometric 3D Vision Made Easybreakdown → | 85 |
| 4 | 39 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 26 | |
| 8 | 0 | |
| 9 | 8 | |
| 10 | 8 | |
| 11 | 28 | |
| 12 | Improved trip planning by learning from travelers' choices | 1 |
| 13 | 4 | |
| 14 | Assembling Heterogeneous Domain Adaptation Methods for Image Classification. | 5 |
| 15 | 10 | |
| 16 | 4 | |
| 17 | A probabilistic learning method for XML annotation of documents | 3 |
| 18 | Crawling for Domain-Speci.c Hidden Web Resources | 13 |
| 19 | Schema Extraction from XML: A Grammatical Inference Approach. | 16 |
| 20 | 33 |
About Boris Chidlovskii
Boris Chidlovskii is a scholar working on Signal Processing, Artificial Intelligence and Transportation, having authored 57 papers that have together received 622 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (10 papers), Web Data Mining and Analysis (10 papers) and Data Management and Algorithms (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (237 citations), Artificial Intelligence (261 citations) and Signal Processing (81 citations). Boris Chidlovskii has collaborated with scholars based in France, South Korea and United States. Frequent co-authors include Gabriela Csurka, Stéphane Clinchant, Uwe M. Borghoff, Jérôme Revaud, Yohann Cabon, Shuzhe Wang, Vincent Leroy, Riccardo Volpi, Claudia Roncancio and André Bergholz. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Computer Networks and The VLDB Journal.
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.