Nicolas LaLone

500 citations
48 papers · 339 · h-index 11

Impact in

Papers in

Nicolas LaLone

43 papers receiving 329 citations

Peers

Nicolas LaLone
Comparison fields: 5 of 79
  • Human-Computer Interaction 100
  • Communication 35
  • Health Informatics 6
  • Computer Science Applications 20
  • Computer Vision and Pattern Recognition 58
Replace Liz Dowthwaite with:
Liz Dowthwaite United Kingdom
Alice Thudt Canada
Michael J. Albers United States
Bernhard Klein Germany
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Jonas Landgren Sweden
Florian Windhager Austria
Stuart Dunn United Kingdom
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Countries citing papers authored by Nicolas LaLone

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas LaLone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nicolas LaLone, 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 Nicolas LaLone Line = papers co-authored together Nicolas LaLone links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201548
2 201938
3
Run Amok: Group Crowd Participation in Identifying the Bomb and Bomber from the Boston Marathon Bombing
201430
4 202230
5 202017
6 202115
7 202314
8 201913
9 201512
10 201711
11 202310
12 20229
13 20249
14 20249
15 20147
16
Crowdsourcing rare events: Using curiosity to draw participants into science and early warning systems
20147
17 20206
18 20165
19 20144
20 20144

About Nicolas LaLone

Nicolas LaLone is a scholar working on Sociology and Political Science, Human-Computer Interaction, Communication, Computer Vision and Pattern Recognition and Information Systems, having authored 48 papers that have together received 339 indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (14 papers), Public Relations and Crisis Communication (12 papers), Digital Games and Media (10 papers), Disaster Management and Resilience (6 papers), Interactive and Immersive Displays (6 papers), Misinformation and Its Impacts (5 papers), Augmented Reality Applications (5 papers) and Virtual Reality Applications and Impacts (4 papers). The work is most often cited by research in Human-Computer Interaction (100 citations), Communication (35 citations), Health Informatics (6 citations), Computer Science Applications (20 citations) and Computer Vision and Pattern Recognition (58 citations). Nicolas LaLone has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Andrea Tapia, Sultan A. Alharthi, Phoebe O. Toups Dugas, E. MacDonald, Hyunwoo Kim, M. Heavner, Konstantinos Papagelis, Nathan Case, Andrew M. Webb and Alan Chamberlain. Their work appears in journals such as ACM Transactions on Computer-Human Interaction, Proceedings of the ACM on Human-Computer Interaction, Behaviour and Information Technology, Geophysical Research Letters and Space Weather.

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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