Julian M. Singer

2.2k citations
31 papers · 1.3k indexed · 1 hit paper · h-index 11

Julian M. Singer

27 papers receiving 1.2k citations

Hit Papers

Well Logging for Earth Scientists20072026201320192007250500750

Peers

Julian M. Singer
Comparison fields: 5 of 112
  • Geophysics 556
  • Mechanics of Materials 434
  • Ocean Engineering 375
  • Mechanical Engineering 301
  • Artificial Intelligence 161
Replace Darwin V. Ellis with:
Darwin V. Ellis British Virgin Islands
Haiqing Wu China
Jeffery J. Roberts United States
J. Cabrera France
Charles R. Carrigan United States
T. Bai United States
Harold J Vinegar Netherlands
C. Flaum British Virgin Islands
Takao Ohminato Japan
V. Stefánsson Sweden
Julian M. Singer relative to Darwin V. Ellis British Virgin Islands Darwin V. Ellis's profile →
Citations per field
00.5×1.5×
Darwin V. Ellis · 1×
Citations per year

Countries citing papers authored by Julian M. Singer

Since Specialization
Citations

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

Fields of papers citing papers by Julian M. Singer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julian M. Singer. 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 Julian M. Singer. The network helps show where Julian M. Singer may publish in the future.

Co-authorship network of co-authors of Julian M. Singer

This figure shows the co-authorship network connecting the top 25 collaborators of Julian M. Singer. A scholar is included among the top collaborators of Julian M. Singer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Julian M. Singer. Julian M. Singer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 3
4 60
5 60
6 3
7 3
8 9
9 20
10 13
11
Well Logging for Earth Scientistsbreakdown →
795
12 89
13 4
14 3
15
Urinary proton magnetic resonance studies of early ifosfamide-induced nephrotoxicity and encephalopathy.
26
16 5
17 4
18 1
19
Elmod-Putting Electromagnetic Modeling To Work To Improve Resistivity Log Interpretation
5
20
The Effect Of Transition Zones On The Response Of Induction Logs
7

About Julian M. Singer

Julian M. Singer is a scholar working on Geophysics, Ocean Engineering and Nuclear and High Energy Physics, having authored 31 papers that have together received 1.3k indexed citations. Recurring topics across this work include Geophysical and Geoelectrical Methods (6 papers), Geophysical Methods and Applications (5 papers) and Seismic Waves and Analysis (5 papers). The work is most often cited by research in Geophysics (556 citations), Ocean Engineering (375 citations) and Mechanics of Materials (434 citations). Julian M. Singer has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Darwin V. Ellis, E. Stoll, Michael E. Schaepman, Roberto Carniel, S. Dangel, J. Quirein, J. H. Saunders, Christopher C. Pain, Frederik Wenz and Jayant S. Vaidya. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Geophysical Journal International and Physica A Statistical Mechanics and its Applications.

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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