Anita Graser

2.1k total citations · 1 hit paper
72 papers, 1.4k citations indexed

About

Anita Graser is a scholar working on Transportation, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Anita Graser has authored 72 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Transportation, 20 papers in Computer Vision and Pattern Recognition and 16 papers in Signal Processing. Recurrent topics in Anita Graser's work include Data Management and Algorithms (16 papers), Human Mobility and Location-Based Analysis (14 papers) and Geographic Information Systems Studies (11 papers). Anita Graser is often cited by papers focused on Data Management and Algorithms (16 papers), Human Mobility and Location-Based Analysis (14 papers) and Geographic Information Systems Studies (11 papers). Anita Graser collaborates with scholars based in Germany, Austria and United Kingdom. Anita Graser's co-authors include Hubert Cecotti, Ivan Volosyak, Oleg Ivlev, Johannes Asamer, Mario Ruthmair, Markus Straub, Oliver Lang, Peter Widhalm, Norbert Brändle and Kenneth J. Hunt and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Biomedical Engineering and Transportation Research Part D Transport and Environment.

In The Last Decade

Anita Graser

66 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Convolutional Neural Networks for P300 Detection with Application to Brain-Computer Interfaces

2010 564 citations Hubert Cecotti, Anita Graser IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers

Anita Graser

CN

EEE

CMN

SP

CVPR

Wanzeng Kong China

Enas Abdulhay Jordan

Sarath Kodagoda Australia

Yuxuan Yang China

Mohammad Hossein Rafiei United States

Elena López Spain

Kaixuan Chen Australia

Xin Zhao China

Cheolsoo Park South Korea

Gui‐Bin Bian China

Wanzeng Kong China

Anita Graser

1.8k ×2.9

CN

149 ×0.5

EEE

173 ×0.7

CMN

317 ×1.3

SP

394 ×2.1

CVPR

Citations per year, relative to Anita Graser Anita Graser (= 1×) peers Wanzeng Kong

Countries citing papers authored by Anita Graser

Since Specialization

Citations

This map shows the geographic impact of Anita Graser'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 Anita Graser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anita Graser more than expected).

Fields of papers citing papers by Anita Graser

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anita Graser. 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 Anita Graser. The network helps show where Anita Graser may publish in the future.

Co-authorship network of co-authors of Anita Graser

This figure shows the co-authorship network connecting the top 25 collaborators of Anita Graser. A scholar is included among the top collaborators of Anita Graser 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 Anita Graser. Anita Graser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Graser, Anita, et al.. (2025). The QGIS project: Spatial without compromise. Patterns. 6(7). 101265–101265. 4 indexed citations

2.

Schlögl, Matthias, et al.. (2025). Brief communication: Visualizing uncertainties in landslide susceptibility modelling using bivariate mapping. Natural hazards and earth system sciences. 25(4). 1425–1437.

3.

Graser, Anita, et al.. (2024). Federated Learning for Anomaly Detection in Maritime Movement Data. ArXiv.org. 77–82. 1 indexed citations

4.

Graser, Anita. (2023). The State of Trajectory Visualization in Notebook Environments. GI_Forum. 1. 73–91.

5.

Shi, Meilin, Zilong Liu, Krzysztof Janowicz, et al.. (2023). Thinking Geographically about AI Sustainability. Repository for Publications and Research Data (ETH Zurich). 4. 1–7. 14 indexed citations

6.

Graser, Anita, Carlos Granell, Marta Teperek, et al.. (2019). AGILE Reproducible Paper Guidelines. OSF Preprints (OSF Preprints). 6 indexed citations

7.

Konkol, Markus, Carlos Granell, Kristina Hettne, et al.. (2019). Reproducible Publications at AGILE Conferences. OSF Preprints (OSF Preprints). 2 indexed citations

8.

Graser, Anita. (2018). Evaluating Spatio-temporal Data Models for Trajectories in PostGIS Databases. GI_Forum. 1. 16–33. 6 indexed citations

9.

Ulm, Michael, et al.. (2015). Identifying Congestion Patterns in Urban Road Networks Using Floating Car Data. Transportation Research Board 94th Annual MeetingTransportation Research Board. 1 indexed citations

10.

Widhalm, Peter, et al.. (2015). Fast Hidden Markov Model Map-Matching for Sparse and Noisy Trajectories. 2557–2561. 28 indexed citations

11.

Graser, Anita, Johannes Asamer, & Wolfgang Ponweiser. (2015). The elevation factor: Digital elevation model quality and sampling impacts on electric vehicle energy estimation errors. 81–86. 10 indexed citations

12.

Graser, Anita, et al.. (2015). Processing: A Python Framework for the Seamless Integration of Geoprocessing Tools in QGIS. ISPRS International Journal of Geo-Information. 4(4). 2219–2245. 43 indexed citations

13.

Graser, Anita. (2013). Learning QGIS 2.0 : use QGIS to create great maps and perform all the geoprocessing tasks you need.

14.

Graser, Anita, et al.. (2012). FCD in the Real World– System Capabilities and Applications. 19th ITS World CongressERTICO - ITS EuropeEuropean CommissionITS AmericaITS Asia-Pacific. 5 indexed citations

15.

Graser, Anita, et al.. (2011). Building a safe care-providing robot. PubMed. 3. 1–6. 2 indexed citations

16.

Gollee, H., et al.. (2010). An SSVEP-Based Brain–Computer Interface for the Control of Functional Electrical Stimulation. IEEE Transactions on Biomedical Engineering. 57(8). 1847–1855. 47 indexed citations

17.

Cecotti, Hubert & Anita Graser. (2010). Convolutional Neural Networks for P300 Detection with Application to Brain-Computer Interfaces. IEEE Transactions on Pattern Analysis and Machine Intelligence. 33(3). 433–445. 564 indexed citations breakdown →

18.

Grigorescu, Sorin, et al.. (2010). Model driven developed machine vision system for service robotics. 877–883. 2 indexed citations

19.

Grigorescu, Sorin & Anita Graser. (2008). Robust Machine Vision Framework for localization of unknown objects. 127–130.

20.

Graser, Anita, et al.. (2003). A step forward in manual welding: demonstration of augmented reality helmet. 309–310. 25 indexed citations

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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