Edwin Love

931 citations
27 papers · 660 · h-index 11

Impact in

Papers in

    • Computational Fluid Dynamics and Aerodynamics 11
    • Advanced Numerical Methods in Computational Mathematics 7
    • Fluid Dynamics Simulations and Interactions 4
    • Lattice Boltzmann Simulation Studies 2
    • Consumer Market Behavior and Pricing 4
    • Consumer Behavior in Brand Consumption and Identification 4

Edwin Love

26 papers receiving 618 citations

Peers

Edwin Love
Comparison fields: 5 of 84
  • Marketing 114
  • Strategy and Management 178
  • Computational Mechanics 232
  • Communication 75
  • Human-Computer Interaction 56
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Bo Han United States
Jung-Woo Kim South Korea
Qiongwei Ye China
Sai Ho Kwok Hong Kong
Chun Liu China
Asad Ullah Khan China
Yuchi Zhang China
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Chuang Zhang China
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Citations per field
00.5×7.4×
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Citations per year

Countries citing papers authored by Edwin Love

Since Specialization
Citations

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

Fields of papers citing papers by Edwin Love

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Edwin Love, 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 Edwin Love Line = papers co-authored together Edwin Love links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008175
2 201882
3 200863
4 200559
5 200755
6 201042
7 200538
8 201523
9 201016
10 200915
11 201011
12 201310
13 201010
14 201110
15 20229
16 20128
17 20097
18 20106
19 20155
20 20085

About Edwin Love

Edwin Love is a scholar working on Computational Mechanics, Marketing, Numerical Analysis, Strategy and Management and Sociology and Political Science, having authored 27 papers that have together received 660 indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (11 papers), Advanced Numerical Methods in Computational Mathematics (7 papers), Consumer Market Behavior and Pricing (4 papers), Fluid Dynamics Simulations and Interactions (4 papers), Numerical methods for differential equations (4 papers), Consumer Behavior in Brand Consumption and Identification (4 papers), Lattice Boltzmann Simulation Studies (2 papers) and Behavioral Health and Interventions (2 papers). The work is most often cited by research in Marketing (114 citations), Strategy and Management (178 citations), Computational Mechanics (232 citations), Communication (75 citations) and Human-Computer Interaction (56 citations). Edwin Love has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Jifeng Mu, Gang Peng, Deborah Sulsky, Guglielmo Scovazzi, William J. Rider, Mikhail Shashkov, Christopher N. Chapman, Yongchuan Bao, Jiayin Qi and John N. Shadid. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, Journal of Product & Brand Management, International Journal for Numerical Methods in Fluids, Computers & Mathematics with Applications and Industrial Marketing Management.

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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