Daniel C Bowden

28 papers receiving 910 citations

Daniel C Bowden's Hit Papers

Twitter earthquake detection: earthquake monitoring in a social world 2012 · 336 citations
3360+4+9Years since publication100200300

Peers

Daniel C Bowden
Comparison fields: 5 of 60
  • Geophysics 353
  • Communication 176
  • Transportation 81
  • Artificial Intelligence 209
  • Geography, Planning and Development 31
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Michelle R. Guy United States
Qingkai Kong United States
Christopher Pineda Monterola Philippines
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William T. “Toby” Holmes United States
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Citations per year

Countries citing papers authored by Daniel C Bowden

Since Specialization
Citations

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

Fields of papers citing papers by Daniel C Bowden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel C Bowden. 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 Daniel C Bowden. The network helps show where Daniel C Bowden may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Twitter earthquake detection: earthquake monitoring in a social world
Hit paper breakdown →
2012336
2
Twitter earthquake detection: earthquake monitoring in a social world
2011168
3 201674
4 201554
5 201734
6 201630
7 202228
8 202024
9 202222
10 202020
11 202016
12 202316
13 201815
14 201714
15 202312
16 202412
17 201910
18 20229
19 20229
20 20227

About Daniel C Bowden

Daniel C Bowden is a scholar working on Geophysics, Artificial Intelligence, Civil and Structural Engineering, Electrical and Electronic Engineering and Ocean Engineering, having authored 28 papers that have together received 937 indexed citations. Recurring topics across this work include Seismic Waves and Analysis (22 papers), Seismology and Earthquake Studies (5 papers), Advanced Fiber Optic Sensors (5 papers), Seismic Performance and Analysis (2 papers), Geophysics and Sensor Technology (1 paper), earthquake and tectonic studies (1 paper) and Earthquake and Tsunami Effects (1 paper). The work is most often cited by research in Geophysics (353 citations), Communication (176 citations), Transportation (81 citations), Artificial Intelligence (209 citations) and Geography, Planning and Development (31 citations). Daniel C Bowden has collaborated with scholars based in Switzerland, United States and Greece. Frequent co-authors include Michelle R. Guy, Victor C. Tsai, Paul S. Earle, Fan‐Chi Lin, Andreas Fichtner, Monica D. Kohler, D. S. Weeraratne, Laura Ermert, Quentin Brissaud and Christos Simos. Their work appears in journals such as Geophysical Journal International, Journal of Geophysical Research Solid Earth, Geophysical Research Letters, Seismological Research Letters and Bulletin of the Seismological Society of America.

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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