Nikolaos Malandrakis
- Artificial Intelligence top 10%
- Experimental and Cognitive Psychology top 10%
- Social Psychology top 10%
- Cognitive Neuroscience
- Computer Vision and Pattern Recognition
- Co-authors
- Shrikanth NarayananAlexandros PotamianosElias IosifRahul GuptaBo XiaoTanaya GuhaMaarten Van SegbroeckMatthew Black
- Topics
- Sentiment Analysis and Opinion Mining (9 papers)Topic Modeling (9 papers)Advanced Text Analysis Techniques (5 papers)
- Journals
- PLoS ONEImage and Vision ComputingIEEE Transactions on Audio Speech and Language Processing
- Partner nations
- United StatesGreeceCzechia
In The Last Decade
Nikolaos Malandrakis
20 papers receiving 371 citations
Peers
Comparison fields: 5 of 54
- Artificial Intelligence 184
- Experimental and Cognitive Psychology 132
- Social Psychology 100
- Cognitive Neuroscience 58
- Computer Vision and Pattern Recognition 57
Countries citing papers authored by Nikolaos Malandrakis
This map shows the geographic impact of Nikolaos Malandrakis'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 Nikolaos Malandrakis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikolaos Malandrakis more than expected).
Fields of papers citing papers by Nikolaos Malandrakis
This network shows the impact of papers produced by Nikolaos Malandrakis. 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 Nikolaos Malandrakis. The network helps show where Nikolaos Malandrakis may publish in the future.
Co-authorship network of co-authors of Nikolaos Malandrakis
This figure shows the co-authorship network connecting the top 25 collaborators of Nikolaos Malandrakis. A scholar is included among the top collaborators of Nikolaos Malandrakis 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 Nikolaos Malandrakis. Nikolaos Malandrakis 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 | 49 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 27 | |
| 6 | 8 | |
| 7 | 41 | |
| 8 | 10 | |
| 9 | 15 | |
| 10 | 36 | |
| 11 | 12 | |
| 12 | 12 | |
| 13 | 11 | |
| 14 | 84 | |
| 15 | 12 | |
| 16 | 6 | |
| 17 | DeepPurple: Lexical, String and Affective Feature Fusion for Sentence-Level Semantic Similarity Estimation | 1 |
| 18 | SAIL: A hybrid approach to sentiment analysis | 8 |
| 19 | 60 | |
| 20 | 2 |
About Nikolaos Malandrakis
Nikolaos Malandrakis is a scholar working on Artificial Intelligence, Gender Studies and Experimental and Cognitive Psychology, having authored 21 papers that have together received 401 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (9 papers), Topic Modeling (9 papers) and Advanced Text Analysis Techniques (5 papers). The work is most often cited by research in Experimental and Cognitive Psychology (132 citations), Applied Psychology (38 citations) and Artificial Intelligence (184 citations). Nikolaos Malandrakis has collaborated with scholars based in United States, Greece and Czechia. Frequent co-authors include Shrikanth Narayanan, Alexandros Potamianos, Elias Iosif, Rahul Gupta, Bo Xiao, Tanaya Guha, Maarten Van Segbroeck, Matthew Black, Daniel Bone and Armen C. Arevian. Their work appears in journals such as PLoS ONE, Image and Vision Computing and IEEE Transactions on Audio Speech and Language Processing.
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.