Nikos Pelekis
- Signal Processing top 0.5%
- Artificial Intelligence top 2%
- Transportation top 0.5%
- Geography, Planning and Development top 0.2%
- Computer Networks and Communications top 5%
- Co-authors
- Yannis TheodoridisChristos DoulkeridisChristos BaziotisIoannis KopanakisElias FrentzosGennady AndrienkoEvangelos E. KotsifakosChiara Renso
- Topics
- Data Management and Algorithms (58 papers)Advanced Database Systems and Queries (21 papers)Human Mobility and Location-Based Analysis (19 papers)
In The Last Decade
Nikos Pelekis
80 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Signal Processing 1.2k
- Artificial Intelligence 785
- Transportation 608
- Geography, Planning and Development 437
- Computer Networks and Communications 420
Countries citing papers authored by Nikos Pelekis
This map shows the geographic impact of Nikos Pelekis'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 Nikos Pelekis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikos Pelekis more than expected).
Fields of papers citing papers by Nikos Pelekis
This network shows the impact of papers produced by Nikos Pelekis. 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 Nikos Pelekis. The network helps show where Nikos Pelekis may publish in the future.
Co-authorship network of co-authors of Nikos Pelekis
This figure shows the co-authorship network connecting the top 25 collaborators of Nikos Pelekis. A scholar is included among the top collaborators of Nikos Pelekis 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 Nikos Pelekis. Nikos Pelekis 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 | 2 | |
| 3 | 34 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 53 | |
| 7 | DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysisbreakdown → | 311 |
| 8 | 12 | |
| 9 | Inferring Relationships from Trajectory Data | 2 |
| 10 | 16 | |
| 11 | 21 | |
| 12 | Efficient AIS Data Processing for Environmentally Safe Shipping | 9 |
| 13 | A Framework for Mobility Pattern Mining and Privacy- Aware Querying of Trajectory Data | 1 |
| 14 | 57 | |
| 15 | 2 | |
| 16 | 14 | |
| 17 | 85 | |
| 18 | 62 | |
| 19 | 1 | |
| 20 | 113 |
About Nikos Pelekis
Nikos Pelekis is a scholar working on Signal Processing, Transportation and Geography, Planning and Development, having authored 80 papers that have together received 2.2k indexed citations. Recurring topics across this work include Data Management and Algorithms (58 papers), Advanced Database Systems and Queries (21 papers) and Human Mobility and Location-Based Analysis (19 papers). The work is most often cited by research in Signal Processing (1.2k citations), Transportation (608 citations) and Geography, Planning and Development (437 citations). Nikos Pelekis has collaborated with scholars based in Greece, Germany and Italy. Frequent co-authors include Yannis Theodoridis, Christos Doulkeridis, Christos Baziotis, Ioannis Kopanakis, Elias Frentzos, Gennady Andrienko, Evangelos E. Kotsifakos, Chiara Renso, Natalia Andrienko and Gerasimos Marketos. Their work appears in journals such as ACM Computing Surveys, IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Knowledge and Data Engineering.
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.