Eric Malmi

1.9k citations
35 papers · 641 · h-index 14

Impact in

    • Natural Language Processing Techniques
    • Topic Modeling
    • Advanced Text Analysis Techniques
    • Speech Recognition and Synthesis
    • Text Readability and Simplification
    • Speech and dialogue systems
    • Human Mobility and Location-Based Analysis

Papers in

Eric Malmi

34 papers receiving 607 citations

Peers

Eric Malmi
Comparison fields: 5 of 54
  • Artificial Intelligence 478
  • Transportation 30
  • Computer Vision and Pattern Recognition 72
  • Organizational Behavior and Human Resource Management 39
  • Information Systems 58
Replace Koustav Rudra with:
Koustav Rudra India
Hua Yuan China
Philips Kokoh Prasetyo Singapore
Mikalai Tsytsarau Italy
Ghazaleh Beigi United States
Ziqiang Cao China
Tiziano Fagni Italy
Steven Van Canneyt Belgium
Michal Shmueli-Scheuer Israel
Chris Ré United States
Eric Malmi relative to Koustav Rudra India Koustav Rudra's profile →
Citations per field
00.5×2×4×6×8×9.8×
Koustav Rudra · 1×
Citations per year

Countries citing papers authored by Eric Malmi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Eric Malmi Line = papers co-authored together Eric Malmi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019113
2 202190
3 202371
4 202043
5 202040
6 201932
7 201629
8 201926
9 202123
10 202222
11 201220
12 201817
13 201716
14 201716
15 201813
16 201211
17 202010
18 20179
19 20145
20 20155

About Eric Malmi

Eric Malmi is a scholar working on Artificial Intelligence, Transportation, Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition and General Social Sciences, having authored 35 papers that have together received 641 indexed citations. Recurring topics across this work include Topic Modeling (13 papers), Natural Language Processing Techniques (11 papers), Human Mobility and Location-Based Analysis (6 papers), Complex Network Analysis Techniques (3 papers), Graph Theory and Algorithms (2 papers), Mobile and Web Applications (1 paper), Data Quality and Management (1 paper) and Labor market dynamics and wage inequality (1 paper). The work is most often cited by research in Artificial Intelligence (478 citations), Transportation (30 citations), Computer Vision and Pattern Recognition (72 citations), Organizational Behavior and Human Resource Management (39 citations) and Information Systems (58 citations). Eric Malmi has collaborated with scholars based in Finland, United States and Switzerland. Frequent co-authors include Aliaksei Severyn, Sascha Rothe, Sebastian Krause, Daniil Mirylenka, Aristides Gionis, Ingmar G. Weber, Tapani Raiko, Daniel Gática-Pérez, Trinh Minh Tri and Mor Geva. Their work appears in journals such as Data Mining and Knowledge Discovery, EPJ Data Science, International Journal of Modern Physics A, 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.

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