Dharma Dailey

773 citations
20 papers · 548 · h-index 12

Impact in

    • Social Media and Politics
    • Public Relations and Crisis Communication
    • Ethics and Social Impacts of AI

Papers in

Dharma Dailey

20 papers receiving 514 citations

Peers

Dharma Dailey
Comparison fields: 5 of 89
  • Communication 171
  • Safety Research 114
  • Health Informatics 16
  • Human-Computer Interaction 56
  • Computer Science Applications 54
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Citations per field
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Citations per year

Countries citing papers authored by Dharma Dailey

Since Specialization
Citations

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

Fields of papers citing papers by Dharma Dailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Dharma Dailey, 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 Dharma Dailey Line = papers co-authored together Dharma Dailey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202093
2 201059
3 202158
4 201454
5
Broadband adoption in low-income communities
201051
6 201450
7 201738
8 201836
9 201830
10 201523
11
Eyes on the Ground: Emerging Practices in Periscope Use during Crisis Events.
201613
12
Visible skepticism: Community vetting after Hurricane Irene.
201411
13 202110
14 20167
15 20124
16 20174
17 20212
18 20162
19
Community Wireless Networks as Situated Advocacy
20082
20 20191

About Dharma Dailey

Dharma Dailey is a scholar working on Communication, Sociology and Political Science, Statistical and Nonlinear Physics, Computer Science Applications and Information Systems, having authored 20 papers that have together received 548 indexed citations. Recurring topics across this work include Public Relations and Crisis Communication (6 papers), Social Media and Politics (6 papers), Disaster Management and Resilience (5 papers), Misinformation and Its Impacts (4 papers), Mobile Crowdsensing and Crowdsourcing (4 papers), Complex Network Analysis Techniques (3 papers), Innovative Human-Technology Interaction (3 papers) and Ethics and Social Impacts of AI (3 papers). The work is most often cited by research in Communication (171 citations), Safety Research (114 citations), Health Informatics (16 citations), Human-Computer Interaction (56 citations) and Computer Science Applications (54 citations). Dharma Dailey has collaborated with scholars based in United States, United Kingdom and Albania. Frequent co-authors include Kate Starbird, Alison Powell, Michael Katell, P. M. Krafft, Meg Young, Joe Karaganis, Jean Hardÿ, Susan Wyche, Norman Makoto Su and Ann Hayward Walker. Their work appears in journals such as Computer Supported Cooperative Work (CSCW), Human and Ecological Risk Assessment An International Journal, Policy & Internet, Proceedings of the ACM on Human-Computer Interaction and Proceedings of the International AAAI Conference on Web and Social Media.

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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