Igor Soejono

610 citations
30 papers · 492 indexed · h-index 15

Impact in

  • Geophysics top 5%
    • Geological and Geochemical Analysis
    • High-pressure geophysics and materials
    • Geological Formations and Processes Exploration
    • earthquake and tectonic studies
  • Geology top 5%
    • Geological Studies and Exploration

Papers in

    • Geological and Geochemical Analysis 27
    • High-pressure geophysics and materials 18
    • Geological Formations and Processes Exploration 10
    • Geological Modeling and Analysis 2

Igor Soejono

29 papers receiving 483 citations

Peers

Igor Soejono
Comparison fields: 5 of 35
  • Geophysics 455
  • Geology 73
  • Geochemistry and Petrology 67
  • Artificial Intelligence 278
  • Paleontology 50
Replace Chuandong Xue with:
Chuandong Xue China
Stephen Collett Czechia
Lei Kang China
He Yang China
Nathan Cleven Canada
P. Evins Australia
A. V. Okrugin Russia
L. Hutton Australia
Iwona Klonowska Sweden
Ross Costelloe Australia
Igor Soejono relative to Chuandong Xue China Chuandong Xue's profile →
Citations per field
00.5×1.6×
Chuandong Xue · 1×
Citations per year

Countries citing papers authored by Igor Soejono

Since Specialization
Citations

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

Fields of papers citing papers by Igor Soejono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20244
3 20243
4 20241
5 20242
6 20242
7 20243
8 20239
9 20234
10 202214
11 202218
12 20212
13 20212
14 202119
15 202115
16 202038
17 201916
18 201933
19 201729
20 201635

About Igor Soejono

Igor Soejono is a scholar working on Geophysics, Geochemistry and Petrology, Geology, Artificial Intelligence and Paleontology, having authored 30 papers that have together received 492 indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (27 papers), High-pressure geophysics and materials (18 papers), Geochemistry and Geologic Mapping (17 papers), Geological Formations and Processes Exploration (10 papers), Paleontology and Stratigraphy of Fossils (3 papers), Geological Studies and Exploration (3 papers), Hydrocarbon exploration and reservoir analysis (2 papers) and Geological Modeling and Analysis (2 papers). The work is most often cited by research in Geophysics (455 citations), Geology (73 citations), Geochemistry and Petrology (67 citations), Artificial Intelligence (278 citations) and Paleontology (50 citations). Igor Soejono has collaborated with scholars based in Czechia, France and China. Frequent co-authors include Vojtĕch Janoušek, Karel Schulmann, David Buriánek, Pavel Hanžl, Martin Svojtka, Jan Košler, Jiřı́ Konopásek, A.W. Guy, Vojtěch Erban and Jiří Sláma. Their work appears in journals such as Gondwana Research, Journal of the Geological Society, Precambrian Research, Tectonics and International Journal of Earth Sciences.

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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