Daniel P. Geller

1.8k total citations
23 papers, 1.4k citations indexed

About

Daniel P. Geller is a scholar working on Biomedical Engineering, Fluid Flow and Transfer Processes and Mechanical Engineering. According to data from OpenAlex, Daniel P. Geller has authored 23 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Biomedical Engineering, 9 papers in Fluid Flow and Transfer Processes and 4 papers in Mechanical Engineering. Recurrent topics in Daniel P. Geller's work include Biodiesel Production and Applications (16 papers), Advanced Combustion Engine Technologies (7 papers) and Thermochemical Biomass Conversion Processes (6 papers). Daniel P. Geller is often cited by papers focused on Biodiesel Production and Applications (16 papers), Advanced Combustion Engine Technologies (7 papers) and Thermochemical Biomass Conversion Processes (6 papers). Daniel P. Geller collaborates with scholars based in United States and Finland. Daniel P. Geller's co-authors include John W. Goodrum, T. Adams, Joby Miller, James R. Kastner, Jason Locklin, Lawrence H. Keith, K. C. Das, Manuel Garcı̀a-Pèrez, Bradley L. Reuhs and John S. Kim and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Applied and Environmental Microbiology and Bioresource Technology.

In The Last Decade

Daniel P. Geller

22 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel P. Geller United States 16 1.0k 566 336 196 166 23 1.4k
Samir K. Konar Canada 22 1.3k 1.3× 614 1.1× 172 0.5× 357 1.8× 100 0.6× 39 1.8k
Anjana Srivastava India 15 1.3k 1.3× 664 1.2× 463 1.4× 399 2.0× 212 1.3× 61 2.1k
Eiji Minami Japan 18 1.3k 1.3× 448 0.8× 209 0.6× 279 1.4× 88 0.5× 70 1.5k
Violeta Makarevičienė Lithuania 26 1.4k 1.4× 542 1.0× 591 1.8× 371 1.9× 90 0.5× 99 2.1k
Ivana B. Banković‐Ilić Serbia 14 1.4k 1.4× 736 1.3× 228 0.7× 460 2.3× 93 0.6× 41 1.7k
Mohamad I. Al‐Widyan Jordan 17 885 0.9× 449 0.8× 341 1.0× 207 1.1× 55 0.3× 33 1.3k
Kraipat Cheenkachorn Thailand 22 1.0k 1.0× 234 0.4× 318 0.9× 348 1.8× 77 0.5× 57 1.4k
Gina M. Chupka United States 11 1.1k 1.1× 192 0.3× 211 0.6× 270 1.4× 211 1.3× 12 1.3k
S. Stournas Greece 23 1.5k 1.5× 697 1.2× 841 2.5× 198 1.0× 45 0.3× 49 2.2k
R. K. Malhotra India 16 1.1k 1.1× 594 1.0× 509 1.5× 228 1.2× 55 0.3× 57 1.5k

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-authorship network of co-authors of Daniel P. Geller

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel P. Geller. A scholar is included among the top collaborators of Daniel P. Geller 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 Daniel P. Geller. Daniel P. Geller 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
1.
Masum, Farhad, John Field, Daniel P. Geller, et al.. (2022). Supply chain optimization of sustainable aviation fuel from carinata in the Southeastern United States. Renewable and Sustainable Energy Reviews. 171. 113032–113032. 22 indexed citations
2.
Seepaul, Ramdeo, et al.. (2020). In pursuit of a homegrown biofuel: Navigating systems of partnership, stakeholder knowledge, and adoption ofBrassica carinatain the Southeast United States. Energy Research & Social Science. 70. 101665–101665. 15 indexed citations
3.
Geller, Daniel P., et al.. (2018). Biomass productivity of snow algae and model production algae under low temperature and low light conditions. Algal Research. 33. 133–141. 10 indexed citations
4.
Geller, Daniel P., et al.. (2013). Fuel properties, performance testing and economic feasibility of Raphanus sativus (oilseed radish) biodiesel. Industrial Crops and Products. 45. 155–159. 42 indexed citations
5.
Evans, Jason & Daniel P. Geller. (2012). Biodiversity conservation in biofuel production: are we doing enough?. Biofuels. 3(6). 627–630.
6.
Garcı̀a-Pèrez, Manuel, T. Adams, John W. Goodrum, K. C. Das, & Daniel P. Geller. (2010). DSC studies to evaluate the impact of bio-oil on cold flow properties and oxidation stability of bio-diesel. Bioresource Technology. 101(15). 6219–6224. 107 indexed citations
7.
Geller, Daniel P., et al.. (2009). Storage stability of poultry fat and diesel fuel mixtures: Part II – Chemical properties. Fuel. 89(3). 792–796. 10 indexed citations
8.
Davis, Jack, Daniel P. Geller, W. H. Faircloth, & Timothy H. Sanders. (2009). Comparisons of Biodiesel Produced from Unrefined Oils of Different Peanut Cultivars. Journal of the American Oil Chemists Society. 86(4). 353–361. 24 indexed citations
9.
Chen, Feng, et al.. (2008). Engine Performance Test of Cottonseed Oil Biodiesel. 1(1). 40–45. 9 indexed citations
10.
Fan, Xiaohu, et al.. (2008). Engine Performance Test of Cottonseed Oil Biodiesel. 1(1). 40–45. 20 indexed citations
11.
Geller, Daniel P., et al.. (2007). Storage stability of poultry fat and diesel fuel mixtures: Specific gravity and viscosity. Fuel. 87(1). 92–102. 99 indexed citations
12.
Garcı̀a-Pèrez, Manuel, T. Adams, John W. Goodrum, Daniel P. Geller, & K. C. Das. (2007). Production and Fuel Properties of Pine Chip Bio-oil/Biodiesel Blends. Energy & Fuels. 21(4). 2363–2372. 98 indexed citations
13.
Geller, Daniel P. & John W. Goodrum. (2004). Effects of specific fatty acid methyl esters on diesel fuel lubricity. Fuel. 83(17-18). 2351–2356. 191 indexed citations
14.
Goodrum, John W. & Daniel P. Geller. (2004). Influence of fatty acid methyl esters from hydroxylated vegetable oils on diesel fuel lubricity. Bioresource Technology. 96(7). 851–855. 218 indexed citations
15.
Goodrum, John W., Daniel P. Geller, & T. Adams. (2002). Rheological characterization of yellow grease and poultry fat. Journal of the American Oil Chemists Society. 79(10). 961–964. 20 indexed citations
16.
Geller, Daniel P. & John W. Goodrum. (2000). Rheology of vegetable oil analogs and triglycerides. Journal of the American Oil Chemists Society. 77(2). 111–114. 62 indexed citations
17.
Geller, Daniel P., John W. Goodrum, & Steven J. Knapp. (1999). Fuel properties of oil from genetically altered Cuphea viscosissima. Industrial Crops and Products. 9(2). 85–91. 39 indexed citations
18.
Reuhs, Bradley L., et al.. (1999). Epitope Identification for a Panel of Anti- Sinorhizobium meliloti Monoclonal Antibodies and Application to the Analysis of K Antigens and Lipopolysaccharides from Bacteroids. Applied and Environmental Microbiology. 65(11). 5186–5191. 21 indexed citations
19.
Goodrum, John W., et al.. (1998). Rapid measurement of boiling points and vapor pressure of binary mixtures of short-chain triglycerides by TGA method. Thermochimica Acta. 311(1-2). 71–79. 29 indexed citations
20.
Reuhs, Bradley L., Daniel P. Geller, John S. Kim, et al.. (1998). Sinorhizobium fredii and Sinorhizobium meliloti Produce Structurally Conserved Lipopolysaccharides and Strain-Specific K Antigens. Applied and Environmental Microbiology. 64(12). 4930–4938. 101 indexed citations

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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