Martin Längkvist
- Artificial Intelligence top 5%
- Signal Processing top 2%
- Computer Vision and Pattern Recognition top 5%
- Cognitive Neuroscience top 10%
- Biomedical Engineering
- Co-authors
- Amy LoutfiLars KarlssonMarjan AlirezaieAndrey KiselevMats LidénPer ThunbergJohn Bosco Balaguru RayappanSilvia Coradeschi
- Topics
- Time Series Analysis and Forecasting (4 papers)Anomaly Detection Techniques and Applications (4 papers)Advanced Chemical Sensor Technologies (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaSensorsRemote Sensing
In The Last Decade
Martin Längkvist
25 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Artificial Intelligence 379
- Signal Processing 295
- Computer Vision and Pattern Recognition 234
- Cognitive Neuroscience 230
- Biomedical Engineering 207
Countries citing papers authored by Martin Längkvist
This map shows the geographic impact of Martin Längkvist'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 Martin Längkvist with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Längkvist more than expected).
Fields of papers citing papers by Martin Längkvist
This network shows the impact of papers produced by Martin Längkvist. 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 Martin Längkvist. The network helps show where Martin Längkvist may publish in the future.
Co-authorship network of co-authors of Martin Längkvist
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Längkvist. A scholar is included among the top collaborators of Martin Längkvist 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 Martin Längkvist. Martin Längkvist 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 | 8 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | A Symbolic Approach for Explaining Errors in Image Classification Tasks | 5 |
| 11 | 65 | |
| 12 | Exploiting Context and Semantics for UAV Path-finding in an Urban Setting | 3 |
| 13 | Interactive Learning with Convolutional Neural Networks for Image Labeling | 5 |
| 14 | Open GeoSpatial Data as a Source of Ground Truth for Automated Labelling of Satellite Images | 3 |
| 15 | 21 | |
| 16 | Modeling time-series with deep networks | 4 |
| 17 | Not all signals are created equal : Dynamic objective auto-encoder for multivariate data | 2 |
| 18 | Learning Representations with a Dynamic Objective Sparse Autoencoder | 1 |
| 19 | Unsupervised feature learning for electronic nose data applied to Bacteria Identification in Blood. | 33 |
| 20 | Online Identification of Friction Coefficients in an Industrial Robot | 0 |
About Martin Längkvist
Martin Längkvist is a scholar working on Signal Processing, Artificial Intelligence and Media Technology, having authored 26 papers that have together received 1.5k indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Advanced Chemical Sensor Technologies (3 papers). The work is most often cited by research in Signal Processing (295 citations), Media Technology (161 citations) and Cognitive Neuroscience (230 citations). Martin Längkvist has collaborated with scholars based in Sweden, Denmark and Germany. Frequent co-authors include Amy Loutfi, Lars Karlsson, Marjan Alirezaie, Andrey Kiselev, Mats Lidén, Per Thunberg, John Bosco Balaguru Rayappan, Silvia Coradeschi, Franziska Klügl and Farrukh Javed. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and Remote Sensing.
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.