Laurissa Tokarchuk
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Information Systems top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Co-authors
- Hamed HaddadiKleomenis KatevasJohn BighamLucio MarcenaroStefan PosladHatice GüneşChaosheng FengEliane Bodanese
- Topics
- Network Security and Intrusion Detection (11 papers)Peer-to-Peer Network Technologies (9 papers)Virtual Reality Applications and Impacts (9 papers)
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Laurissa Tokarchuk
50 papers receiving 290 citations
Peers
Comparison fields: 5 of 58
- Computer Networks and Communications 93
- Artificial Intelligence 80
- Information Systems 65
- Electrical and Electronic Engineering 51
- Computer Vision and Pattern Recognition 51
Countries citing papers authored by Laurissa Tokarchuk
This map shows the geographic impact of Laurissa Tokarchuk'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 Laurissa Tokarchuk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laurissa Tokarchuk more than expected).
Fields of papers citing papers by Laurissa Tokarchuk
This network shows the impact of papers produced by Laurissa Tokarchuk. 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 Laurissa Tokarchuk. The network helps show where Laurissa Tokarchuk may publish in the future.
Co-authorship network of co-authors of Laurissa Tokarchuk
This figure shows the co-authorship network connecting the top 25 collaborators of Laurissa Tokarchuk. A scholar is included among the top collaborators of Laurissa Tokarchuk 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 Laurissa Tokarchuk. Laurissa Tokarchuk 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 | 1 | |
| 4 | 5 | |
| 5 | 10 | |
| 6 | 2 | |
| 7 | 17 | |
| 8 | 0 | |
| 9 | 6 | |
| 10 | A Framework for Achieving Situational Awareness during Crisis based on Twitter Analysis | 1 |
| 11 | 6 | |
| 12 | 15 | |
| 13 | 5 | |
| 14 | MPeersim: Simulation environment for mobile P2P networks | 1 |
| 15 | Reactive Worms Propagation Modeling and Analysis in Peer-to-Peer Networks | 0 |
| 16 | Classification of Mobile P2P Malware Based on Propagation Behaviour | 4 |
| 17 | 10 | |
| 18 | 1 | |
| 19 | 9 | |
| 20 | Fuzzy and tile coding function approximation in agent coevolution | 1 |
About Laurissa Tokarchuk
Laurissa Tokarchuk is a scholar working on Human-Computer Interaction, Computer Science Applications and Computer Networks and Communications, having authored 54 papers that have together received 313 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (11 papers), Peer-to-Peer Network Technologies (9 papers) and Virtual Reality Applications and Impacts (9 papers). The work is most often cited by research in Human-Computer Interaction (50 citations), Transportation (31 citations) and Computer Networks and Communications (93 citations). Laurissa Tokarchuk has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Hamed Haddadi, Kleomenis Katevas, John Bigham, Lucio Marcenaro, Stefan Poslad, Hatice Güneş, Chaosheng Feng, Eliane Bodanese, Richard G. Clegg and Zhiguang Qin. Their work appears in journals such as PLoS ONE, IEEE Communications Magazine and IEEE Communications Letters.
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.