Howard Glicksman

36 total papers · 797 total citations
26 papers, 615 citations indexed

About

Howard Glicksman is a scholar working on Materials Chemistry, Water Science and Technology and Electrical and Electronic Engineering. According to data from OpenAlex, Howard Glicksman has authored 26 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Materials Chemistry, 8 papers in Water Science and Technology and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Howard Glicksman's work include Coagulation and Flocculation Studies (8 papers), Laser-Ablation Synthesis of Nanoparticles (4 papers) and Nanomaterials and Printing Technologies (3 papers). Howard Glicksman is often cited by papers focused on Coagulation and Flocculation Studies (8 papers), Laser-Ablation Synthesis of Nanoparticles (4 papers) and Nanomaterials and Printing Technologies (3 papers). Howard Glicksman collaborates with scholars based in United States and Germany. Howard Glicksman's co-authors include Toivo T. Kodas, Richard A. Walton, Tammy Pluym, Dale Henneke, William T. Nichols, J. W. Keto, J. R. Brock, Hong Cai, L.M. Wang and Sheryl H. Ehrman and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Applied Physics Letters.

In The Last Decade

Howard Glicksman

26 papers receiving 573 citations

Author Peers

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

Author Last Decade Papers Cites
Howard Glicksman 276 175 172 98 97 26 615
Sergey Roslyakov 512 1.9× 98 0.6× 147 0.9× 64 0.7× 43 0.4× 28 698
Avik Das 292 1.1× 156 0.9× 105 0.6× 52 0.5× 66 0.7× 61 550
Emil Omurzak 346 1.3× 153 0.9× 220 1.3× 59 0.6× 36 0.4× 32 609
Aaron Peled 362 1.3× 172 1.0× 225 1.3× 54 0.6× 51 0.5× 15 658
Adrian Camenzind 431 1.6× 189 1.1× 144 0.8× 43 0.4× 23 0.2× 15 667
I. Soare 378 1.4× 271 1.5× 102 0.6× 73 0.7× 48 0.5× 36 657
Qingzhou Cui 351 1.3× 172 1.0× 282 1.6× 117 1.2× 20 0.2× 18 687
Sho Fujii 249 0.9× 187 1.1× 150 0.9× 126 1.3× 19 0.2× 46 611
Jian Li 276 1.0× 118 0.7× 247 1.4× 73 0.7× 65 0.7× 33 683
I. Sandu 288 1.0× 210 1.2× 108 0.6× 57 0.6× 36 0.4× 41 505

Countries citing papers authored by Howard Glicksman

Since Specialization
Citations

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

Fields of papers citing papers by Howard Glicksman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Howard Glicksman

This figure shows the co-authorship network connecting the top 25 collaborators of Howard Glicksman. A scholar is included among the top collaborators of Howard Glicksman 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 Howard Glicksman. Howard Glicksman 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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