Neha Karanwal

18 total papers · 662 total citations
16 papers, 533 citations indexed

About

Neha Karanwal is a scholar working on Biomedical Engineering, Mechanical Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Neha Karanwal has authored 16 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Biomedical Engineering, 5 papers in Mechanical Engineering and 5 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Neha Karanwal's work include Catalysis for Biomass Conversion (11 papers), Supercapacitor Materials and Fabrication (5 papers) and Catalysis and Hydrodesulfurization Studies (4 papers). Neha Karanwal is often cited by papers focused on Catalysis for Biomass Conversion (11 papers), Supercapacitor Materials and Fabrication (5 papers) and Catalysis and Hydrodesulfurization Studies (4 papers). Neha Karanwal collaborates with scholars based in South Korea, India and United States. Neha Karanwal's co-authors include Jaehoon Kim, Deepak Verma, Seok Ki Kim, Sang Kyu Kwak, Seung Min Kim, Muhammad Kashif Iqbal Khan, Malayil Gopalan Sibi, Jae-Yong Park, Suman L. Jain and Savita Kaul and has published in prestigious journals such as Applied Catalysis B: Environmental, ACS Catalysis and Chemical Engineering Journal.

In The Last Decade

Neha Karanwal

15 papers receiving 529 citations

Author Peers

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

Author						Papers	Cites
Neha Karanwal	312	212	205	158	80	16	533
G. Raveendra	274 0.9×	203 1.0×	310 1.5×	171 1.1×	75 0.9×	22	552
Venkata Ramesh Babu Gurram	270 0.9×	173 0.8×	327 1.6×	183 1.2×	92 1.1×	24	528
Abdullah M. Alhanash	423 1.4×	244 1.2×	304 1.5×	128 0.8×	60 0.8×	23	612
Danilo Bonincontro	315 1.0×	171 0.8×	241 1.2×	91 0.6×	130 1.6×	15	475
Fatima Ammari	272 0.9×	146 0.7×	250 1.2×	106 0.7×	127 1.6×	19	452
Giada Innocenti	186 0.6×	208 1.0×	230 1.1×	126 0.8×	69 0.9×	18	451
Paramita Koley	323 1.0×	237 1.1×	220 1.1×	68 0.4×	142 1.8×	19	571
Xianmei Xie	224 0.7×	261 1.2×	269 1.3×	104 0.7×	64 0.8×	17	545
Marta Granollers Mesa	361 1.2×	217 1.0×	230 1.1×	85 0.5×	143 1.8×	15	534
Abdallah I.M. Rabee	170 0.5×	111 0.5×	289 1.4×	145 0.9×	64 0.8×	25	472

Countries citing papers authored by Neha Karanwal

Since Specialization

Citations

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

Fields of papers citing papers by Neha Karanwal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neha Karanwal

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