Bernd Resch

4.9k total citations · 1 hit paper
151 papers, 3.1k citations indexed

About

Bernd Resch is a scholar working on Transportation, Geography, Planning and Development and Epidemiology. According to data from OpenAlex, Bernd Resch has authored 151 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Transportation, 40 papers in Geography, Planning and Development and 25 papers in Epidemiology. Recurrent topics in Bernd Resch's work include Human Mobility and Location-Based Analysis (46 papers), Geographic Information Systems Studies (40 papers) and Data-Driven Disease Surveillance (25 papers). Bernd Resch is often cited by papers focused on Human Mobility and Location-Based Analysis (46 papers), Geographic Information Systems Studies (40 papers) and Data-Driven Disease Surveillance (25 papers). Bernd Resch collaborates with scholars based in Austria, United States and Germany. Bernd Resch's co-authors include Clemens Havas, Thomas Blaschke, Alexander Zipf, Günther Sagl, Enrico Steiger, Andreas Petutschnig, Peter Zeile, René Westerholt, Kalliopi Kyriakou and Russ Burtner and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Bernd Resch

138 papers receiving 2.9k citations

Hit Papers

Crowdsourcing, citizen sensing and sensor web technologie... 2011 2026 2016 2021 2011 100 200 300
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.

  1. Crowdsourcing, citizen sensing and sensor web technologies for public and environmental health surveillance and crisis management: trends, OGC standards and application examples
    2011 351 citations Bernd Resch et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bernd Resch Austria 29 883 531 471 441 365 151 3.1k
João Porto de Albuquerque Brazil 25 483 0.5× 600 1.1× 718 1.5× 480 1.1× 207 0.6× 123 2.6k
Andrew Crooks United States 34 1.2k 1.3× 1.1k 2.0× 838 1.8× 766 1.7× 378 1.0× 129 4.0k
Xiao Huang United States 39 803 0.9× 529 1.0× 1.5k 3.1× 160 0.4× 331 0.9× 289 4.9k
Anthony Stefanidis United States 29 738 0.8× 595 1.1× 529 1.1× 640 1.5× 296 0.8× 97 2.9k
Daniel Z. Sui United States 33 1.6k 1.8× 725 1.4× 860 1.8× 1.4k 3.2× 230 0.6× 110 4.9k
Arie Croitoru United States 24 583 0.7× 504 0.9× 414 0.9× 423 1.0× 232 0.6× 57 2.2k
Linna Li China 26 733 0.8× 315 0.6× 418 0.9× 596 1.4× 139 0.4× 105 2.9k
Alex Singleton United Kingdom 30 1.0k 1.1× 482 0.9× 439 0.9× 571 1.3× 126 0.3× 108 2.7k
Peter Mooney Ireland 28 736 0.8× 175 0.3× 382 0.8× 1.2k 2.7× 303 0.8× 118 2.8k
Guofeng Cao United States 22 549 0.6× 323 0.6× 536 1.1× 137 0.3× 152 0.4× 57 1.8k

Countries citing papers authored by Bernd Resch

Since Specialization
Citations

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

Fields of papers citing papers by Bernd Resch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bernd Resch

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

All Works

20 of 20 papers shown
1.
Resch, Bernd, et al.. (2025). Dynamic Named Entity Recognition model to distinguish authors’ positions relative to mentioned locations. GEOMATICA. 77(1). 100055–100055. 2 indexed citations
2.
Wieland, Marc, et al.. (2025). Fusion of geospatial information from remote sensing and social media to prioritise rapid response actions in case of floods. Natural Hazards. 121(7). 8061–8088. 4 indexed citations
3.
Wieland, Marc, et al.. (2025). Legal and ethical considerations for demand-driven data collection and AI-based analysis in flood response. International Journal of Disaster Risk Reduction. 122. 105441–105441. 1 indexed citations
4.
Resch, Bernd, et al.. (2025). Enhancing satellite-based emergency mapping: Identifying wildfires through geo-social media analysis. Big Earth Data. 9(3). 389–411. 3 indexed citations
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Resch, Bernd, Mauricio Santillana, Weihe Wendy Guan, et al.. (2025). Geosocial Media’s Early Warning Capabilities Across US County-Level Political Clusters: Observational Study. PubMed. 5. e58539–e58539. 1 indexed citations
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Resch, Bernd, et al.. (2024). Understanding the impact of geotagging on location inference models for accurate generalization to non-geotagged datasets. GEOMATICA. 76(1). 100004–100004. 1 indexed citations
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Stolerman, Lucas M., et al.. (2023). Using digital traces to build prospective and real-time county-level early warning systems to anticipate COVID-19 outbreaks in the United States. Science Advances. 9(3). eabq0199–eabq0199. 20 indexed citations
11.
Resch, Bernd, Tumasch Reichenbacher, Clemens Havas, et al.. (2022). Adapting mobile map application designs to map use context: a review and call for action on potential future research themes. Cartography and Geographic Information Science. 49(3). 237–251. 22 indexed citations
12.
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Petutschnig, Andreas, et al.. (2021). Commuter Mobility Patterns in Social Media: Correlating Twitter and LODES Data. ISPRS International Journal of Geo-Information. 11(1). 15–15. 5 indexed citations
14.
Pykett, Jessica, Benjamin W. Chrisinger, Kalliopi Kyriakou, et al.. (2020). Urban Emotion Sensing Beyond ‘Affective Capture’: Advancing Critical Interdisciplinary Methods. International Journal of Environmental Research and Public Health. 17(23). 9003–9003. 8 indexed citations
15.
Pykett, Jessica, Benjamin W. Chrisinger, Kalliopi Kyriakou, et al.. (2020). Developing a Citizen Social Science approach to understand urban stress and promote wellbeing in urban communities. Palgrave Communications. 6(1). 42 indexed citations
16.
Sagl, Günther, Bernd Resch, Andreas Petutschnig, et al.. (2019). Wearables and the Quantified Self: Systematic Benchmarking of Physiological Sensors. Sensors. 19(20). 4448–4448. 17 indexed citations
17.
Westerholt, René, Bernd Resch, Franz‐Benjamin Mocnik, & Dirk Hoffmeister. (2017). A statistical test on the local effects of spatially structured variance. International Journal of Geographical Information Systems. 32(3). 571–600. 10 indexed citations
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Resch, Bernd, et al.. (2015). Crowdsourcing Physiological Conditions and Subjective Emotions by Coupling Technical and Human Mobile Sensors. GI_Forum. 1. 514–524. 28 indexed citations
20.
Resch, Bernd, et al.. (2012). Towards the Live City - Paving the Way to Real-time Urbanism. 5. 470–482. 10 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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