David Abarca

570 citations
12 papers · 399 · h-index 8

Impact in

    • Astrophysical Phenomena and Observations
    • Pulsars and Gravitational Waves Research
    • Gamma-ray bursts and supernovae
    • Galaxies: Formation, Evolution, Phenomena
    • Astrophysics and Star Formation Studies
    • Astrophysics and Cosmic Phenomena

Papers in

David Abarca

11 papers receiving 366 citations

Peers

David Abarca
Comparison fields: 5 of 25
  • Astronomy and Astrophysics 390
  • Nuclear and High Energy Physics 174
  • Geophysics 38
  • Instrumentation 3
  • Computer Graphics and Computer-Aided Design 2
Replace T. Manmoto with:
T. Manmoto Japan
Santanu Mondal India
Tomohisa Kawashima Japan
C. Roedig Germany
Ju‐Fu Lu China
P. Rebusco Germany
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Nickolai Shaposhnikov United States
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Citations per field
00.5×3.9×
T. Manmoto · 1×
Citations per year

Countries citing papers authored by David Abarca

Since Specialization
Citations

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

Fields of papers citing papers by David Abarca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2014143
2 201693
3 201672
4 201329
5 202222
6 201817
7 201410
8 20197
9 20163
10 20192
11 20171
12 20250

About David Abarca

David Abarca is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics, Geophysics, Family Practice and Artificial Intelligence, having authored 12 papers that have together received 399 indexed citations. Recurring topics across this work include Astrophysical Phenomena and Observations (11 papers), Pulsars and Gravitational Waves Research (7 papers), Astrophysics and Cosmic Phenomena (7 papers), High-pressure geophysics and materials (4 papers), Simulation-Based Education in Healthcare (1 paper), Intelligent Tutoring Systems and Adaptive Learning (1 paper), Clinical Reasoning and Diagnostic Skills (1 paper) and Astrophysics and Star Formation Studies (1 paper). The work is most often cited by research in Astronomy and Astrophysics (390 citations), Nuclear and High Energy Physics (174 citations), Geophysics (38 citations), Instrumentation (3 citations) and Computer Graphics and Computer-Aided Design (2 citations). David Abarca has collaborated with scholars based in United States, Poland and Sweden. Frequent co-authors include Aleksander Sądowski, Ramesh Narayan, Jonathan C. McKinney, Yucong Zhu, Alexander Tchekhovskoy, Maciek Wielgus, Andrew Chael, E. Gafton, Emilio Tejeda and Stephan Rosswog. Their work appears in journals such as Monthly Notices of the Royal Astronomical Society, The Astrophysical Journal, Astronomische Nachrichten and Proceedings of the Human Factors and Ergonomics Society Annual Meeting.

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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