Nikita Schmidt
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering
- Co-authors
- Fabio MassacciDominique GaïtiSimon DobsonErol GelenbeSpyros DenazisAntonio Fernández AntaPaddy NixonFabrice Saffre
- Topics
- Peer-to-Peer Network Technologies (4 papers)Web Data Mining and Analysis (4 papers)Advanced Database Systems and Queries (3 papers)
- Journals
- Knowledge and Information SystemsComputer Standards & InterfacesACM Transactions on Autonomous and Adaptive Systems
- Partner nations
- IrelandUnited KingdomMalaysia
In The Last Decade
Nikita Schmidt
11 papers receiving 415 citations
Hit Papers
Peers
Comparison fields: 5 of 42
- Computer Networks and Communications 301
- Information Systems 205
- Artificial Intelligence 188
- Computer Vision and Pattern Recognition 41
- Electrical and Electronic Engineering 35
Countries citing papers authored by Nikita Schmidt
This map shows the geographic impact of Nikita Schmidt'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 Nikita Schmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikita Schmidt more than expected).
Fields of papers citing papers by Nikita Schmidt
This network shows the impact of papers produced by Nikita Schmidt. 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 Nikita Schmidt. The network helps show where Nikita Schmidt may publish in the future.
Co-authorship network of co-authors of Nikita Schmidt
This figure shows the co-authorship network connecting the top 25 collaborators of Nikita Schmidt. A scholar is included among the top collaborators of Nikita Schmidt 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 Nikita Schmidt. Nikita Schmidt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 19 | |
| 3 | 0 | |
| 4 | Spatial data fusion with visual feedback | 1 |
| 5 | A survey of autonomic communicationsbreakdown → | 381 |
| 6 | Design and Implementation of a Distributed Search and Advertising System. | 1 |
| 7 | 9 | |
| 8 | Distributed Search-Based Advertising on The Web. | 1 |
| 9 | 0 | |
| 10 | Ad Hoc Interface Evolution in Soap. | 2 |
| 11 | 1 | |
| 12 | Distributed Search for Structured Documents | 1 |
| 13 | 1 |
About Nikita Schmidt
Nikita Schmidt is a scholar working on Computer Networks and Communications, Information Systems and Signal Processing, having authored 13 papers that have together received 442 indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (4 papers), Web Data Mining and Analysis (4 papers) and Advanced Database Systems and Queries (3 papers). The work is most often cited by research in Computer Networks and Communications (301 citations), Information Systems (205 citations) and Artificial Intelligence (188 citations). Nikita Schmidt has collaborated with scholars based in Ireland, United Kingdom and Malaysia. Frequent co-authors include Fabio Massacci, Dominique Gaïti, Simon Dobson, Erol Gelenbe, Spyros Denazis, Antonio Fernández Anta, Paddy Nixon, Fabrice Saffre, Franco Zambonelli and Ahmed Patel. Their work appears in journals such as Knowledge and Information Systems, Computer Standards & Interfaces and ACM Transactions on Autonomous and Adaptive Systems.
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.