Jonathan G. Weis

39 total papers · 918 total citations
13 papers, 759 citations indexed

About

Jonathan G. Weis is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Organic Chemistry. According to data from OpenAlex, Jonathan G. Weis has authored 13 papers receiving a total of 759 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 6 papers in Biomedical Engineering and 4 papers in Organic Chemistry. Recurrent topics in Jonathan G. Weis's work include Gas Sensing Nanomaterials and Sensors (5 papers), Advanced Chemical Sensor Technologies (4 papers) and Analytical Chemistry and Sensors (3 papers). Jonathan G. Weis is often cited by papers focused on Gas Sensing Nanomaterials and Sensors (5 papers), Advanced Chemical Sensor Technologies (4 papers) and Analytical Chemistry and Sensors (3 papers). Jonathan G. Weis collaborates with scholars based in United States. Jonathan G. Weis's co-authors include Timothy M. Swager, Katherine A. Mirica, Jan M. Schnorr, Joseph M. Azzarelli, Birgit Esser, Jens B. Ravnsbæk, Sophie F. Liu, John F. Fennell, Sébastien Rochat and Eilaf Egap and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Jonathan G. Weis

13 papers receiving 748 citations

Author Peers

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

Author						Papers	Cites
Jonathan G. Weis	399	391	236	184	111	13	759
Joseph M. Azzarelli	353 0.9×	374 1.0×	179 0.8×	197 1.1×	75 0.7×	11	771
Rajesh Kumar	400 1.0×	261 0.7×	310 1.3×	181 1.0×	122 1.1×	19	724
Zhenxing Cheng	349 0.9×	269 0.7×	390 1.7×	170 0.9×	45 0.4×	32	843
Flavio Pino	402 1.0×	239 0.6×	319 1.4×	77 0.4×	81 0.7×	16	874
Omar Green	196 0.5×	175 0.4×	194 0.8×	52 0.3×	132 1.2×	12	824
Liping Bao	343 0.9×	201 0.5×	135 0.6×	145 0.8×	72 0.6×	15	654
Yongheng Zhu	424 1.1×	304 0.8×	236 1.0×	230 1.3×	81 0.7×	14	707
Yingying Jian	605 1.5×	591 1.5×	289 1.2×	294 1.6×	77 0.7×	11	890
Ya‐Juan Deng	326 0.8×	127 0.3×	173 0.7×	119 0.6×	142 1.3×	11	655
Mohammad Amin Farahmand Nejad	226 0.6×	324 0.8×	401 1.7×	75 0.4×	147 1.3×	11	873

Countries citing papers authored by Jonathan G. Weis

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan G. Weis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan G. Weis

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