Alpana Agarwal

175 total papers · 1.5k total citations
87 papers, 1.1k citations indexed

About

Alpana Agarwal is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Strategy and Management. According to data from OpenAlex, Alpana Agarwal has authored 87 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Electrical and Electronic Engineering, 26 papers in Biomedical Engineering and 8 papers in Strategy and Management. Recurrent topics in Alpana Agarwal's work include Analog and Mixed-Signal Circuit Design (23 papers), Advancements in Semiconductor Devices and Circuit Design (12 papers) and Low-power high-performance VLSI design (12 papers). Alpana Agarwal is often cited by papers focused on Analog and Mixed-Signal Circuit Design (23 papers), Advancements in Semiconductor Devices and Circuit Design (12 papers) and Low-power high-performance VLSI design (12 papers). Alpana Agarwal collaborates with scholars based in India, United States and Pakistan. Alpana Agarwal's co-authors include Mohit Agarwal, Neelima Singh, Prem Vrat, Sanjay Kumar, Amandeep Kaur, Ravinder Agarwal, Komal Kapoor, Ajay Kumar, J. N. Chung and Chandra Shekhar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Alpana Agarwal

76 papers receiving 1.0k citations

Author Peers

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

Author						Papers	Cites
Alpana Agarwal	651	418	188	176	129	87	1.1k
Yue Zhang	406 0.6×	218 0.5×	121 0.6×	188 1.1×	45 0.3×	69	1.0k
Ravinder Singh Sawhney	371 0.6×	187 0.4×	124 0.7×	193 1.1×	48 0.4×	112	911
Sami Ur Rahman	381 0.6×	290 0.7×	105 0.6×	128 0.7×	55 0.4×	89	1.2k
Chih-Hao Yang	282 0.4×	320 0.8×	99 0.5×	102 0.6×	90 0.7×	38	864
Song Wang	528 0.8×	166 0.4×	45 0.2×	167 0.9×	157 1.2×	113	1.0k
Ting Zhu	178 0.3×	219 0.5×	59 0.3×	88 0.5×	66 0.5×	72	1.2k
Yun Hou	538 0.8×	441 1.1×	126 0.7×	137 0.8×	115 0.9×	58	926
Han Wu	242 0.4×	247 0.6×	71 0.4×	166 0.9×	126 1.0×	43	939
Matthias Koch	683 1.0×	141 0.3×	38 0.2×	144 0.8×	185 1.4×	97	1.1k
Hyung Tae Kim	410 0.6×	238 0.6×	99 0.5×	127 0.7×	44 0.3×	74	875

Countries citing papers authored by Alpana Agarwal

Since Specialization

Citations

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

Fields of papers citing papers by Alpana Agarwal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alpana Agarwal

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