Leo Eisner

3.8k citations
122 papers · 2.6k indexed · h-index 26

Leo Eisner

118 papers receiving 2.5k citations

Peers

Leo Eisner
Comparison fields: 5 of 57
  • Geophysics 2.4k
  • Ocean Engineering 637
  • Artificial Intelligence 920
  • Mechanical Engineering 926
  • Mechanics of Materials 212
Replace W. S. Phillips with:
W. S. Phillips United States
Colin MacBeth United Kingdom
Brian W. Stump United States
Francesco Grigoli Germany
James P. Verdon United Kingdom
Grzegorz Kwiatek Germany
S. C. Maxwell British Virgin Islands
Volker Øye Norway
Louis De Barros France
Luanxiao Zhao China
Leo Eisner relative to W. S. Phillips United States W. S. Phillips's profile →
Citations per field
00.5×4.0×
W. S. Phillips · 1×
Citations per year

Countries citing papers authored by Leo Eisner

Since Specialization
Citations

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

Fields of papers citing papers by Leo Eisner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20233
2 20205
3 2020134
4 20195
5 20158
6 20155
7 20158
8 201448
9 20143
10 20146
11 201353
12 201111
13 201124
14 201119
15 201097
16
Stimulated Fractured Reservoir DFN Models Calibrated With Microseismic Source Mechanisms
201010
17 2010232
18 2009141
19 200661
20 20064

About Leo Eisner

Leo Eisner is a scholar working on Geophysics, Ocean Engineering, Artificial Intelligence, Mechanical Engineering and Geochemistry and Petrology, having authored 122 papers that have together received 2.6k indexed citations. Recurring topics across this work include Seismic Imaging and Inversion Techniques (101 papers), Seismic Waves and Analysis (69 papers), Seismology and Earthquake Studies (52 papers), Hydraulic Fracturing and Reservoir Analysis (45 papers), earthquake and tectonic studies (35 papers), Drilling and Well Engineering (19 papers), Geophysical Methods and Applications (5 papers) and Earthquake Detection and Analysis (3 papers). The work is most often cited by research in Geophysics (2.4k citations), Ocean Engineering (637 citations), Artificial Intelligence (920 citations), Mechanical Engineering (926 citations) and Mechanics of Materials (212 citations). Leo Eisner has collaborated with scholars based in Czechia, United States and Canada. Frequent co-authors include Peter Duncan, František Staněk, William R. Keller, Denis Anikiev, Peter Turner, Peter Styles, Huw Clarke, Ivo Opršal, David P. Hill and Tomáš Fischer. Their work appears in journals such as Geophysics, The Leading Edge, Geophysical Prospecting, Bulletin of the Seismological Society of America and Geophysical Journal International.

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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