David N. Crowley

669 total citations · 1 hit paper
9 papers, 463 citations indexed

About

David N. Crowley is a scholar working on Computer Science Applications, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, David N. Crowley has authored 9 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Science Applications, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in David N. Crowley's work include Mobile Crowdsensing and Crowdsourcing (5 papers), Geographic Information Systems Studies (2 papers) and Context-Aware Activity Recognition Systems (2 papers). David N. Crowley is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (5 papers), Geographic Information Systems Studies (2 papers) and Context-Aware Activity Recognition Systems (2 papers). David N. Crowley collaborates with scholars based in Ireland, Singapore and United Kingdom. David N. Crowley's co-authors include John G. Breslin, William Pike, Maged N. Kamel Boulos, Gunho Sohn, Russ Burtner, Bernd Resch, Kuo-Yu Chuang, Peter Corcoran, Karen Young and Edward Curry and has published in prestigious journals such as Scientific Reports, Journal of the Association for Information Systems and International Journal of Health Geographics.

In The Last Decade

David N. Crowley

8 papers receiving 420 citations

Hit Papers

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

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David N. Crowley Ireland 6 95 88 71 57 52 9 463
Kuo-Yu Chuang Taiwan 4 69 0.7× 66 0.8× 61 0.9× 49 0.9× 37 0.7× 6 375
Russ Burtner United States 7 76 0.8× 76 0.9× 61 0.9× 51 0.9× 108 2.1× 11 464
Afra Mashhadi United States 13 114 1.2× 101 1.1× 140 2.0× 49 0.9× 48 0.9× 48 538
Richard Milton United Kingdom 11 34 0.4× 55 0.6× 168 2.4× 196 3.4× 35 0.7× 22 473
Fabien Girardin Spain 11 32 0.3× 133 1.5× 192 2.7× 66 1.2× 64 1.2× 16 468
Geoffrey Barbier United States 7 130 1.4× 279 3.2× 99 1.4× 87 1.5× 33 0.6× 9 702
Rebecca Goolsby United States 6 108 1.1× 313 3.6× 94 1.3× 97 1.7× 31 0.6× 11 701
Stefano De Sabbata United Kingdom 12 24 0.3× 63 0.7× 121 1.7× 150 2.6× 22 0.4× 31 379
Hansi Senaratne Germany 6 30 0.3× 56 0.6× 177 2.5× 258 4.5× 172 3.3× 17 655
William Pike United States 13 81 0.9× 153 1.7× 97 1.4× 233 4.1× 343 6.6× 29 992

Countries citing papers authored by David N. Crowley

Since Specialization
Citations

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

Fields of papers citing papers by David N. Crowley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David N. Crowley. 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 David N. Crowley. The network helps show where David N. Crowley may publish in the future.

Co-authorship network of co-authors of David N. Crowley

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

All Works

9 of 9 papers shown
1.
Crowley, David N.. (2017). Understanding Communication: The Signifying Web.
2.
O’Hora, Denis, et al.. (2016). Decisions in Motion: Decision Dynamics during Intertemporal Choice reflect Subjective Evaluation of Delayed Rewards. Scientific Reports. 6(1). 20740–20740. 28 indexed citations
3.
Crowley, David N., Edward Curry, & John G. Breslin. (2016). Citizen actuation for smart environments: Evaluating how humans can play a part in smart environments. IEEE Consumer Electronics Magazine. 5(3). 90–94. 5 indexed citations
4.
Crowley, David N., John G. Breslin, & Edward Curry. (2015). Towards a citizen actuation framework for smart environments. 37. 1–5. 2 indexed citations
5.
Crowley, David N., Maciej Dąbrowski, & John G. Breslin. (2013). Decision Support using Linked, Social, and Sensor Data. Journal of the Association for Information Systems. 9 indexed citations
6.
Crowley, David N., Edward Curry, & John G. Breslin. (2013). Closing the loop — From citizen sensing to citizen actuation. 108–113. 20 indexed citations
7.
Crowley, David N., John G. Breslin, Peter Corcoran, & Karen Young. (2012). Gamification of citizen sensing through mobile social reporting. 1–5. 42 indexed citations
8.
Boulos, Maged N. Kamel, Bernd Resch, David N. Crowley, et al.. (2011). Crowdsourcing, citizen sensing and sensor web technologies for public and environmental health surveillance and crisis management: trends, OGC standards and application examples. International Journal of Health Geographics. 10(1). 67–67. 351 indexed citations breakdown →
9.
Crowley, David N., Alexandre Passant, & John G. Breslin. (2011). Short paper: annotating microblog posts with sensor data for emergency reporting applications. 95–100. 6 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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