Lawrence M. Kushner

572 total citations
21 papers, 394 citations indexed

About

Lawrence M. Kushner is a scholar working on Spectroscopy, Organic Chemistry and Computational Mechanics. According to data from OpenAlex, Lawrence M. Kushner has authored 21 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Spectroscopy, 2 papers in Organic Chemistry and 2 papers in Computational Mechanics. Recurrent topics in Lawrence M. Kushner's work include Analytical Chemistry and Chromatography (3 papers), Surfactants and Colloidal Systems (2 papers) and Field-Flow Fractionation Techniques (2 papers). Lawrence M. Kushner is often cited by papers focused on Analytical Chemistry and Chromatography (3 papers), Surfactants and Colloidal Systems (2 papers) and Field-Flow Fractionation Techniques (2 papers). Lawrence M. Kushner collaborates with scholars based in United States, Egypt and Malaysia. Lawrence M. Kushner's co-authors include Willard D. Hubbard, J.I. Hoffman, Rebecca Parker, Robert L. Parker and John Wilson and has published in prestigious journals such as Science, The Journal of Chemical Physics and The Journal of Physical Chemistry.

In The Last Decade

Lawrence M. Kushner

17 papers receiving 344 citations

Peers

Lawrence M. Kushner
Comparison fields: 5 of 106
  • Organic Chemistry 204
  • Physical and Theoretical Chemistry 94
  • Spectroscopy 86
  • Molecular Biology 76
  • Atomic and Molecular Physics, and Optics 68
Replace R. R. Balmbra with:
R. R. Balmbra United Kingdom
R. V. Nauman United States
S. P. Harrold
R. B. Dorshow United States
Morie Nishida Japan
J. R. Tate Netherlands
Egil Vestersjø
H. H. Richtol United States
J. Clifford United Kingdom
Jacques Rouvière France
R. R. Balmbra United Kingdom View profile →
Citations per field, relative to Lawrence M. Kushner
Lawrence M. Kushner · 1×
Citations per year, relative to Lawrence M. Kushner
Lawrence M. Kushner · 1×

Countries citing papers authored by Lawrence M. Kushner

Since Specialization
Citations

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

Fields of papers citing papers by Lawrence M. Kushner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lawrence M. Kushner

This figure shows the co-authorship network connecting the top 25 collaborators of Lawrence M. Kushner. A scholar is included among the top collaborators of Lawrence M. Kushner 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 Lawrence M. Kushner. Lawrence M. Kushner 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
# Work Indexed citations
1 0
2
Invisible Lines of Connection: Sacred Stories of the Ordinary
1
3
Centered Living: The Way of Centering Prayer
5
4 1
5 9
6 1
7 1
8 1
9 1
10 11
11 1
12 2
13 22
14 63
15 34
16 162
17 13
18 4
19 49
20 13

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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