David G. Hehemann

48 total papers · 427 total citations
25 papers, 333 citations indexed

About

David G. Hehemann is a scholar working on Organic Chemistry, Electrical and Electronic Engineering and Materials Chemistry. According to data from OpenAlex, David G. Hehemann has authored 25 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Organic Chemistry, 7 papers in Electrical and Electronic Engineering and 5 papers in Materials Chemistry. Recurrent topics in David G. Hehemann's work include Carbohydrate Chemistry and Synthesis (4 papers), Chalcogenide Semiconductor Thin Films (3 papers) and Quantum Dots Synthesis And Properties (3 papers). David G. Hehemann is often cited by papers focused on Carbohydrate Chemistry and Synthesis (4 papers), Chalcogenide Semiconductor Thin Films (3 papers) and Quantum Dots Synthesis And Properties (3 papers). David G. Hehemann collaborates with scholars based in United States and Sri Lanka. David G. Hehemann's co-authors include Roger W. Binkley, George A. Olah, Witold Winnik, Jerry D. Harris, Robert Wei, Ryne P. Raffaelle, Alexander Hepp, George C. Rybicki, David Scheiman and Aloysius F. Hepp and has published in prestigious journals such as Journal of Power Sources, Inorganic Chemistry and The Journal of Organic Chemistry.

In The Last Decade

David G. Hehemann

22 papers receiving 306 citations

Author Peers

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

Author						Papers	Cites
David G. Hehemann	186	117	45	37	35	25	333
Daniela Rodrigues Silva	107 0.6×	62 0.5×	35 0.8×	31 0.8×	19 0.5×	34	361
W. D. Korte	118 0.6×	39 0.3×	55 1.2×	31 0.8×	35 1.0×	15	298
Aamal A. Al‐Mutairi	177 1.0×	66 0.6×	17 0.4×	43 1.2×	15 0.4×	51	341
Bernard Corbel	264 1.4×	79 0.7×	29 0.6×	28 0.8×	13 0.4×	26	366
E. Murrill	98 0.5×	50 0.4×	21 0.5×	83 2.2×	30 0.9×	21	314
Rakesh Jain	141 0.8×	145 1.2×	14 0.3×	25 0.7×	27 0.8×	25	398
Xinwei Wang	180 1.0×	140 1.2×	77 1.7×	16 0.4×	10 0.3×	23	391
Lyle W. Castle	126 0.7×	43 0.4×	37 0.8×	75 2.0×	9 0.3×	32	293
J. W. Cook	222 1.2×	71 0.6×	36 0.8×	46 1.2×	8 0.2×	19	354
Marcelo F. Lima	186 1.0×	123 1.1×	18 0.4×	43 1.2×	21 0.6×	23	361

Countries citing papers authored by David G. Hehemann

Since Specialization

Citations

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

Fields of papers citing papers by David G. Hehemann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David G. Hehemann. 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 David G. Hehemann. The network helps show where David G. Hehemann may publish in the future.

Co-authorship network of co-authors of David G. Hehemann

This figure shows the co-authorship network connecting the top 25 collaborators of David G. Hehemann. A scholar is included among the top collaborators of David G. Hehemann 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 David G. Hehemann. David G. Hehemann 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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