Igor V. Nikiforov
- Control and Systems Engineering top 0.5%
- Statistics, Probability and Uncertainty top 0.1%
- Artificial Intelligence top 2%
- Statistics and Probability top 1%
- Computer Networks and Communications top 2%
- Co-authors
- Michèle BassevilleAlexander G. TartakovskyLionel FillatreMitra FouladiradPeter WillettFouzi HarrouFlorent RetraintSandrine Vaton
- Topics
- Advanced Statistical Process Monitoring (46 papers)Fault Detection and Control Systems (41 papers)Scientific Measurement and Uncertainty Evaluation (17 papers)
- Cited by
- Statistics, Probability and UncertaintyControl and Systems EngineeringStatistics and Probability
- Partner nations
- FranceRussiaUnited States
In The Last Decade
Igor V. Nikiforov
64 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Control and Systems Engineering 1.5k
- Statistics, Probability and Uncertainty 960
- Artificial Intelligence 662
- Statistics and Probability 462
- Computer Networks and Communications 435
Countries citing papers authored by Igor V. Nikiforov
This map shows the geographic impact of Igor V. Nikiforov'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 Igor V. Nikiforov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Igor V. Nikiforov more than expected).
Fields of papers citing papers by Igor V. Nikiforov
This network shows the impact of papers produced by Igor V. Nikiforov. 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 Igor V. Nikiforov. The network helps show where Igor V. Nikiforov may publish in the future.
Co-authorship network of co-authors of Igor V. Nikiforov
This figure shows the co-authorship network connecting the top 25 collaborators of Igor V. Nikiforov. A scholar is included among the top collaborators of Igor V. Nikiforov 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 Igor V. Nikiforov. Igor V. Nikiforov 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 | 7 | |
| 4 | 1 | |
| 5 | 269 | |
| 6 | 46 | |
| 7 | 0 | |
| 8 | 8 | |
| 9 | 7 | |
| 10 | 5 | |
| 11 | 18 | |
| 12 | 43 | |
| 13 | 2 | |
| 14 | 68 | |
| 15 | Sequential, FSS and Snapshot Approaches to GPS/DGPS Integrity Monitoring | 1 |
| 16 | 27 | |
| 17 | 15 | |
| 18 | 17 | |
| 19 | 33 | |
| 20 | 24 |
About Igor V. Nikiforov
Igor V. Nikiforov is a scholar working on Statistics, Probability and Uncertainty, Control and Systems Engineering and Statistics and Probability, having authored 69 papers that have together received 2.9k indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (46 papers), Fault Detection and Control Systems (41 papers) and Scientific Measurement and Uncertainty Evaluation (17 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (960 citations), Control and Systems Engineering (1.5k citations) and Statistics and Probability (462 citations). Igor V. Nikiforov has collaborated with scholars based in France, Russia and United States. Frequent co-authors include Michèle Basseville, Alexander G. Tartakovsky, Lionel Fillatre, Lionel Fillatre, Mitra Fouladirad, Peter Willett, Fouzi Harrou, Florent Retraint, Sandrine Vaton and Pedro Casas. Their work appears in journals such as Technometrics, IEEE Transactions on Information Theory and Automatica.
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.