D. Mockler

5.5k citations
4 papers · 29 · h-index 3

Impact in

    • Astrophysics and Cosmic Phenomena
    • Dark Matter and Cosmic Phenomena
    • Neutrino Physics Research
    • Particle physics theoretical and experimental studies
    • Particle Detector Development and Performance
    • Gamma-ray bursts and supernovae
    • Pulsars and Gravitational Waves Research
    • Galaxies: Formation, Evolution, Phenomena

Papers in

    • Dark Matter and Cosmic Phenomena 4
    • Astrophysics and Cosmic Phenomena 4
    • Neutrino Physics Research 1
    • Particle physics theoretical and experimental studies 1
    • Particle Detector Development and Performance 1
    • Computational Physics and Python Applications 1

D. Mockler

4 papers receiving 27 citations

Peers

D. Mockler
Comparison fields: 4 of 4
  • Nuclear and High Energy Physics 29
  • Astronomy and Astrophysics 9
  • Oceanography 1
  • Electrical and Electronic Engineering 1
Replace Seongjin In with:
Seongjin In South Korea
E. Carquín Chile
A. Pizzuto United States
S. Turchikhin Russia
Ana Luisa Foguel Brazil
Yana Zhezher Russia
O. Lupton Italy
Michael Buttignol France
U. Schnoor Switzerland
K. Pedro Portugal
D. Mockler relative to Seongjin In South Korea Seongjin In's profile →
Citations per field
00.5×
Seongjin In · 1×
Citations per year

Countries citing papers authored by D. Mockler

Since Specialization
Citations

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

Fields of papers citing papers by D. Mockler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

About D. Mockler

D. Mockler is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence, Infectious Diseases, Organic Chemistry and Surgery, having authored 4 papers that have together received 29 indexed citations. Recurring topics across this work include Dark Matter and Cosmic Phenomena (4 papers), Astrophysics and Cosmic Phenomena (4 papers), Neutrino Physics Research (1 paper), Particle physics theoretical and experimental studies (1 paper), Computational Physics and Python Applications (1 paper) and Particle Detector Development and Performance (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (29 citations), Astronomy and Astrophysics (9 citations), Oceanography (1 citation), Electrical and Electronic Engineering (1 citation) and Infectious Diseases (0 citations). D. Mockler has collaborated with scholars based in Italy, Belgium and United States. Frequent co-authors include Olivier Deligny, D. Ivanov, T. Nonaka, Lorenzo Caccianiga, Armando di Matteo, R. M. de Almeida, S. Troitsky, Jon Paul Lundquist, H. Sagawa and P. Tinyakov. Their work appears in journals such as Proceedings of 36th International Cosmic Ray Conference — PoS(ICRC2019) and EPJ Web of Conferences.

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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