Nicolas LaLone

467 citations
38 papers · 264 · h-index 10

Impact in

Papers in

Nicolas LaLone

34 papers receiving 255 citations

Peers

Nicolas LaLone
Comparison fields: 5 of 74
  • Human-Computer Interaction 77
  • Communication 29
  • Computer Science Applications 16
  • Health Informatics 4
  • Computer Vision and Pattern Recognition 49
Replace Bernhard Klein with:
Bernhard Klein Germany
Tom McEwan United Kingdom
Lily Díaz-Kommonen Finland
Corey Jackson United States
Gloria Custance
Ruzinoor Che Mat Malaysia
Andrew Stern United States
Jack Kruse United States
Yuko Murayama Japan
Per Linde Sweden
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Citations per field
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Bernhard Klein · 1×
Citations per year

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 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201543
2 201930
3 202224
4
Run Amok: Group Crowd Participation in Identifying the Bomb and Bomber from the Boston Marathon Bombing
201422
5 202113
6 201512
7 201911
8 201711
9 202011
10 20229
11 20239
12 20237
13
Crowdsourcing rare events: Using curiosity to draw participants into science and early warning systems
20146
14 20206
15 20146
16 20245
17 20174
18 20234
19 20144
20 20244

About Nicolas LaLone

Nicolas LaLone is a scholar working on Sociology and Political Science, Human-Computer Interaction, Communication, Computer Vision and Pattern Recognition and Developmental and Educational Psychology, having authored 38 papers that have together received 264 indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (11 papers), Public Relations and Crisis Communication (9 papers), Digital Games and Media (8 papers), Interactive and Immersive Displays (5 papers), Disaster Management and Resilience (5 papers), Misinformation and Its Impacts (4 papers), Persona Design and Applications (4 papers) and Augmented Reality Applications (4 papers). The work is most often cited by research in Human-Computer Interaction (77 citations), Communication (29 citations), Computer Science Applications (16 citations), Health Informatics (4 citations) and Computer Vision and Pattern Recognition (49 citations). Nicolas LaLone has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Andrea Tapia, Sultan A. Alharthi, E. MacDonald, Phoebe O. Toups Dugas, Nathan Case, M. Heavner, Konstantinos Papagelis, Hyunwoo Kim, Andrew M. Webb and J. H. Clayton. Their work appears in journals such as ACM Transactions on Computer-Human Interaction, Proceedings of the ACM on Human-Computer Interaction, Space Weather, Sustainable and Resilient Infrastructure and Behaviour and Information Technology.

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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