Daniel P. Geller

1.8k citations
23 papers · 1.4k · h-index 16

Impact in

Papers in

Daniel P. Geller

22 papers receiving 1.4k citations

Peers

Daniel P. Geller
Comparison fields: 5 of 95
  • Fluid Flow and Transfer Processes 336
  • Biomedical Engineering 1.0k
  • Mechanical Engineering 566
  • Biochemistry 46
  • Process Chemistry and Technology 16
Replace Ivana B. Banković‐Ilić with:
Ivana B. Banković‐Ilić Serbia
Anjana Srivastava India
C. L. Peterson United States
Xuan Wu China
Samir K. Konar Canada
Eiji Minami Japan
S. Stournas Greece
Violeta Makarevičienė Lithuania
Sumit Sharma India
Digambar Singh India
Daniel P. Geller relative to Ivana B. Banković‐Ilić Serbia Ivana B. Banković‐Ilić's profile →
Citations per field
00.5×2.7×
Ivana B. Banković‐Ilić · 1×
Citations per year

Countries citing papers authored by Daniel P. Geller

Since Specialization
Citations

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

Fields of papers citing papers by Daniel P. Geller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel P. Geller. 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 Daniel P. Geller. The network helps show where Daniel P. Geller may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012279
2 2004218
3 2004191
4 2010107
5 1998101
6 200799
7 200798
8 200062
9 201342
10 199939
11 199829
12 200924
13 202222
14 199921
15 200220
16 200820
17 202015
18 199913
19 201810
20 200910

About Daniel P. Geller

Daniel P. Geller is a scholar working on Biomedical Engineering, Fluid Flow and Transfer Processes, Mechanical Engineering, Computational Mechanics and Plant Science, having authored 23 papers that have together received 1.4k indexed citations. Recurring topics across this work include Biodiesel Production and Applications (16 papers), Advanced Combustion Engine Technologies (7 papers), Thermochemical Biomass Conversion Processes (6 papers), Lubricants and Their Additives (3 papers), Heat transfer and supercritical fluids (3 papers), Legume Nitrogen Fixing Symbiosis (2 papers), Biofuel production and bioconversion (2 papers) and Chemical Thermodynamics and Molecular Structure (1 paper). The work is most often cited by research in Fluid Flow and Transfer Processes (336 citations), Biomedical Engineering (1.0k citations), Mechanical Engineering (566 citations), Biochemistry (46 citations) and Process Chemistry and Technology (16 citations). Daniel P. Geller has collaborated with scholars based in United States and Finland. Frequent co-authors include John W. Goodrum, T. Adams, Lawrence H. Keith, Jason Locklin, Joby Miller, James R. Kastner, K. C. Das, Manuel Garcı̀a-Pèrez, Bradley L. Reuhs and John S. Kim. Their work appears in journals such as Journal of the American Oil Chemists Society, Fuel, Applied and Environmental Microbiology, Bioresource Technology and Industrial Crops and Products.

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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