E. S. Starkman

59 total papers · 1.4k total citations
49 papers, 1.1k citations indexed

About

E. S. Starkman is a scholar working on Fluid Flow and Transfer Processes, Automotive Engineering and Computational Mechanics. According to data from OpenAlex, E. S. Starkman has authored 49 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Fluid Flow and Transfer Processes, 18 papers in Automotive Engineering and 16 papers in Computational Mechanics. Recurrent topics in E. S. Starkman's work include Advanced Combustion Engine Technologies (27 papers), Catalytic Processes in Materials Science (16 papers) and Vehicle emissions and performance (16 papers). E. S. Starkman is often cited by papers focused on Advanced Combustion Engine Technologies (27 papers), Catalytic Processes in Materials Science (16 papers) and Vehicle emissions and performance (16 papers). E. S. Starkman collaborates with scholars based in United States, Sweden and Norway. E. S. Starkman's co-authors include H. K. Newhall, Robert F. Sawyer, Rebecca Sutton, V.E. Schrock, L.J. Muzio, R. A. Bell, L. S. Caretto, Robert A. Brown, G. S. Samuelsen and David S. Smith and has published in prestigious journals such as Environmental Science & Technology, Physics Today and Combustion and Flame.

In The Last Decade

E. S. Starkman

48 papers receiving 937 citations

Author Peers

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

Author						Papers	Cites
E. S. Starkman	614	424	395	220	206	49	1.1k
D.W. Naegeli	685 1.1×	319 0.8×	333 0.8×	249 1.1×	329 1.6×	62	1.1k
Gesheng Li	751 1.2×	452 1.1×	473 1.2×	196 0.9×	167 0.8×	69	1.1k
Zunhua Zhang	896 1.5×	563 1.3×	547 1.4×	208 0.9×	184 0.9×	77	1.2k
Patrick Kirchen	496 0.8×	310 0.7×	297 0.8×	363 1.6×	317 1.5×	61	1.0k
Matthew J. DeWitt	710 1.2×	519 1.2×	210 0.5×	343 1.6×	507 2.5×	49	1.4k
Hua Tian	979 1.6×	594 1.4×	494 1.3×	280 1.3×	247 1.2×	87	1.2k
Daniel B. Olsen	664 1.1×	393 0.9×	219 0.6×	340 1.5×	283 1.4×	101	1.1k
Kun Lin Tay	815 1.3×	438 1.0×	343 0.9×	245 1.1×	423 2.1×	36	1.0k
Bhupendra Khandelwal	726 1.2×	629 1.5×	302 0.8×	192 0.9×	197 1.0×	74	1.4k
C. Scott Sluder	881 1.4×	620 1.5×	438 1.1×	551 2.5×	357 1.7×	63	1.4k

Countries citing papers authored by E. S. Starkman

Since Specialization

Citations

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

Fields of papers citing papers by E. S. Starkman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. S. Starkman. 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 E. S. Starkman. The network helps show where E. S. Starkman may publish in the future.

Co-authorship network of co-authors of E. S. Starkman

This figure shows the co-authorship network connecting the top 25 collaborators of E. S. Starkman. A scholar is included among the top collaborators of E. S. Starkman 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 E. S. Starkman. E. S. Starkman 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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