Dan Luss

7.7k citations
281 papers · 6.4k indexed · h-index 43

Impact in

Papers in

Dan Luss

280 papers receiving 6.1k citations

Peers

Dan Luss
Comparison fields: 5 of 121
  • Catalysis 1.4k
  • Computer Networks and Communications 1.7k
  • Statistical and Nonlinear Physics 829
  • Materials Chemistry 2.5k
  • Computational Mechanics 1.1k
Replace Moshe Sheintuch with:
Moshe Sheintuch Israel
Vemuri Balakotaiah United States
L.D. Schmidt United States
Rutherford Aris United States
Massimiliano Giona Italy
J.C. Schouten Netherlands
Bruce A. Finlayson United States
Dick Bedeaux Netherlands
E. Wicke Germany
Christian Robert Trott United States
Dan Luss relative to Moshe Sheintuch Israel Moshe Sheintuch's profile →
Citations per field
00.5×2.8×
Moshe Sheintuch · 1×
Citations per year

Countries citing papers authored by Dan Luss

Since Specialization
Citations

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

Fields of papers citing papers by Dan Luss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201612
2 201112
3 20084
4 200713
5
Combustion Synthesis of Ceramic Composites from Lunar Soil Simulant
20069
6 20068
7 20064
8 200322
9 200110
10 19995
11 19994
12 199710
13 199345
14
Processing high-temperature superconductors
19891
15 198950
16 198718
17 198319
18 19781
19 197221
20 196856

About Dan Luss

Dan Luss is a scholar working on Catalysis, Computer Networks and Communications, Statistical and Nonlinear Physics, Materials Chemistry and Condensed Matter Physics, having authored 281 papers that have together received 6.4k indexed citations. Recurring topics across this work include Catalytic Processes in Materials Science (68 papers), Nonlinear Dynamics and Pattern Formation (64 papers), Catalysis and Oxidation Reactions (49 papers), Heat and Mass Transfer in Porous Media (29 papers), Catalysis and Hydrodesulfurization Studies (25 papers), Thermal and Kinetic Analysis (21 papers), Advanced Thermodynamics and Statistical Mechanics (21 papers) and Catalysts for Methane Reforming (20 papers). The work is most often cited by research in Catalysis (1.4k citations), Computer Networks and Communications (1.7k citations), Statistical and Nonlinear Physics (829 citations), Materials Chemistry (2.5k citations) and Computational Mechanics (1.1k citations). Dan Luss has collaborated with scholars based in United States, Israel and Russia. Frequent co-authors include Vemuri Balakotaiah, Karen S. Martirosyan, Michael P. Harold, Neal R. Amundson, Moshe Sheintuch, Usuf Middya, James T. Richardson, Johannes Khinast, Michael D. Graham and Mahesh C. Somani. Their work appears in journals such as Chemical Engineering Science, AIChE Journal, Industrial & Engineering Chemistry Research, Chemical Engineering Journal and Chemical Engineering Communications.

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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