Eric Malmi
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Text Readability and Simplification
- Advanced Graph Neural Networks
- Advanced Text Analysis Techniques
-
- Human Mobility and Location-Based Analysis
Papers in
-
- Topic Modeling 10
- Natural Language Processing Techniques 9
- Text Readability and Simplification 5
-
- Web Data Mining and Analysis 3
- Co-authors
- Aliaksei Severyn (6 shared papers)Sebastian Krause (3 shared papers)Daniil Mirylenka (3 shared papers)Jakub Adámek (4 shared papers)Jonathan Mallinson (5 shared papers)Sascha Rothe (1 shared paper)Aristides Gionis (6 shared papers)Trinh Minh Tri (2 shared papers)
- Journals
- Data Mining and Knowledge Discovery (2 papers)International Journal of Modern Physics A (1 paper)EPJ Data Science (1 paper)Lecture notes in computer science (2 papers)The Journal of Defense Modeling and Simulation Applications Methodology Technology (1 paper)
- Partner nations
- FinlandUnited StatesSwitzerland
In The Last Decade
Eric Malmi
28 papers receiving 338 citations
Peers
Comparison fields: 5 of 63
- Artificial Intelligence 263
- Transportation 24
- Computer Vision and Pattern Recognition 47
- Information Systems 50
- Computer Science Applications 12
Countries citing papers authored by Eric Malmi
This map shows the geographic impact of Eric Malmi'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 Eric Malmi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Malmi more than expected).
Fields of papers citing papers by Eric Malmi
This network shows the impact of papers produced by Eric Malmi. 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 Eric Malmi. The network helps show where Eric Malmi may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Malmi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 92 | |
| 2 | 2023 | 59 | |
| 3 | 2019 | 34 | |
| 4 | 2012 | 21 | |
| 5 | 2022 | 20 | |
| 6 | 2022 | 19 | |
| 7 | 2019 | 16 | |
| 8 | 2018 | 15 | |
| 9 | 2017 | 14 | |
| 10 | 2012 | 11 | |
| 11 | 2017 | 10 | |
| 12 | 2018 | 9 | |
| 13 | 2015 | 6 | |
| 14 | 2013 | 5 | |
| 15 | 2018 | 5 | |
| 16 | 2017 | 5 | |
| 17 | 2014 | 5 | |
| 18 | 2020 | 4 | |
| 19 | 2015 | 3 | |
| 20 | 2020 | 3 |
About Eric Malmi
Eric Malmi is a scholar working on Artificial Intelligence, Information Systems, Transportation, Epidemiology and Statistical and Nonlinear Physics, having authored 30 papers that have together received 366 indexed citations. Recurring topics across this work include Topic Modeling (10 papers), Natural Language Processing Techniques (9 papers), Human Mobility and Location-Based Analysis (5 papers), Text Readability and Simplification (5 papers), Data-Driven Disease Surveillance (4 papers), Web Data Mining and Analysis (3 papers), Complex Network Analysis Techniques (3 papers) and Data Management and Algorithms (2 papers). The work is most often cited by research in Artificial Intelligence (263 citations), Transportation (24 citations), Computer Vision and Pattern Recognition (47 citations), Information Systems (50 citations) and Computer Science Applications (12 citations). Eric Malmi has collaborated with scholars based in Finland, United States and Switzerland. Frequent co-authors include Aliaksei Severyn, Sebastian Krause, Daniil Mirylenka, Jakub Adámek, Jonathan Mallinson, Sascha Rothe, Aristides Gionis, Trinh Minh Tri, Claudia Wagner and Daniel Gática-Pérez. Their work appears in journals such as Data Mining and Knowledge Discovery, International Journal of Modern Physics A, EPJ Data Science, Lecture notes in computer science and The Journal of Defense Modeling and Simulation Applications Methodology Technology.
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.