Jeffrey M. Grenda

22 total papers · 681 total citations
17 papers, 529 citations indexed

About

Jeffrey M. Grenda is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes and Catalysis. According to data from OpenAlex, Jeffrey M. Grenda has authored 17 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computational Mechanics, 12 papers in Fluid Flow and Transfer Processes and 6 papers in Catalysis. Recurrent topics in Jeffrey M. Grenda's work include Advanced Combustion Engine Technologies (12 papers), Combustion and flame dynamics (9 papers) and Catalysis and Oxidation Reactions (6 papers). Jeffrey M. Grenda is often cited by papers focused on Advanced Combustion Engine Technologies (12 papers), Combustion and flame dynamics (9 papers) and Catalysis and Oxidation Reactions (6 papers). Jeffrey M. Grenda collaborates with scholars based in United States and Germany. Jeffrey M. Grenda's co-authors include David M. Matheu, William H. Green, Anthony M. Dean, A. Pires da Cruz, Ioannis P. Androulakis, Joseph W. Bozzelli, Douglas Schwer, Hans‐Heinrich Carstensen, Paul I. Barton and R. Sumathi and has published in prestigious journals such as Industrial & Engineering Chemistry Research, The Journal of Physical Chemistry A and AIChE Journal.

In The Last Decade

Jeffrey M. Grenda

17 papers receiving 517 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jeffrey M. Grenda 310 280 117 116 95 17 529
Mohammed Yahyaoui 381 1.2× 273 1.0× 160 1.4× 114 1.0× 56 0.6× 12 469
P.G. Lignola 220 0.7× 261 0.9× 65 0.6× 118 1.0× 67 0.7× 29 534
A. Goldaniga 365 1.2× 304 1.1× 207 1.8× 151 1.3× 72 0.8× 7 574
Florian vom Lehn 389 1.3× 277 1.0× 152 1.3× 163 1.4× 44 0.5× 24 536
Hongzhi R. Zhang 361 1.2× 262 0.9× 146 1.2× 130 1.1× 46 0.5× 14 566
Benoîte Lefort 350 1.1× 294 1.1× 71 0.6× 108 0.9× 37 0.4× 21 503
Joan C. Biordi 310 1.0× 263 0.9× 37 0.3× 115 1.0× 39 0.4× 16 503
Yann Fenard 402 1.3× 243 0.9× 145 1.2× 173 1.5× 87 0.9× 35 536
Amrit Bikram Sahu 503 1.6× 323 1.2× 73 0.6× 188 1.6× 64 0.7× 16 600
Thompson M. Sloane 284 0.9× 275 1.0× 59 0.5× 92 0.8× 45 0.5× 28 465

Countries citing papers authored by Jeffrey M. Grenda

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey M. Grenda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey M. Grenda

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey M. Grenda. A scholar is included among the top collaborators of Jeffrey M. Grenda 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 Jeffrey M. Grenda. Jeffrey M. Grenda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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