Nicoleta Hickman

18 total papers · 748 total citations
9 papers, 601 citations indexed

About

Nicoleta Hickman is a scholar working on Materials Chemistry, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Nicoleta Hickman has authored 9 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Materials Chemistry, 4 papers in Biomedical Engineering and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Nicoleta Hickman's work include Graphene research and applications (2 papers), Molecular Communication and Nanonetworks (2 papers) and Conducting polymers and applications (1 paper). Nicoleta Hickman is often cited by papers focused on Graphene research and applications (2 papers), Molecular Communication and Nanonetworks (2 papers) and Conducting polymers and applications (1 paper). Nicoleta Hickman collaborates with scholars based in United States, India and Denmark. Nicoleta Hickman's co-authors include Terry M. Tritt, S. J. Poon, Jürgen Blumm, Slade Culp, Ajeet Kaushik, Mubarak Mujawar, Sesha S. Srinivasan, Hardik Gohel, Sanjay Kumar Bhardwaj and V. Ponnambalam and has published in prestigious journals such as Applied Physics Letters, Physical Review B and Applied Surface Science.

In The Last Decade

Nicoleta Hickman

8 papers receiving 584 citations

Author Peers

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

Author						Papers	Cites
Nicoleta Hickman	410	204	140	130	67	9	601
Cintia Mateo	267 0.7×	309 1.5×	89 0.6×	227 1.7×	7 0.1×	15	568
Jens P. Froning	465 1.1×	55 0.3×	173 1.2×	185 1.4×	6 0.1×	10	675
Arkadeep Mitra	272 0.7×	76 0.4×	302 2.2×	254 2.0×	6 0.1×	7	578
Benjamin D’Anjou	405 1.0×	63 0.3×	184 1.3×	160 1.2×	11 0.2×	12	620
Alexandre Horth	377 0.9×	62 0.3×	269 1.9×	164 1.3×	10 0.1×	5	594
Drew Vecchio	237 0.6×	122 0.6×	112 0.8×	195 1.5×	5 0.1×	14	649
Man Cheung Ng	381 0.9×	85 0.4×	176 1.3×	224 1.7×	3 0.0×	10	572
Kun-Tong Tsai	179 0.4×	316 1.5×	120 0.9×	338 2.6×	9 0.1×	16	568
Bihter Daglar	209 0.5×	99 0.5×	79 0.6×	227 1.7×	4 0.1×	12	510
Milad Mehdipour	339 0.8×	39 0.2×	67 0.5×	184 1.4×	6 0.1×	10	590

Countries citing papers authored by Nicoleta Hickman

Since Specialization

Citations

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

Fields of papers citing papers by Nicoleta Hickman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicoleta Hickman

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