Nidhi Arora

104 total papers · 911 total citations
57 papers, 625 citations indexed

About

Nidhi Arora is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Artificial Intelligence. According to data from OpenAlex, Nidhi Arora has authored 57 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 8 papers in Information Systems and 8 papers in Artificial Intelligence. Recurrent topics in Nidhi Arora's work include Complex Network Analysis Techniques (7 papers), Opinion Dynamics and Social Influence (5 papers) and Protein Structure and Dynamics (4 papers). Nidhi Arora is often cited by papers focused on Complex Network Analysis Techniques (7 papers), Opinion Dynamics and Social Influence (5 papers) and Protein Structure and Dynamics (4 papers). Nidhi Arora collaborates with scholars based in India, United States and South Korea. Nidhi Arora's co-authors include B. Jayaram, Punniyakoti T. Veeraveedu, Vikramdeep Monga, Hema Banati, Shubham Dodia, Rahul Kumar Jain, B. Annappa, Tariq Ahamed Ahanger, Rajnish Ratna and Donald Bashford and has published in prestigious journals such as The Journal of Physical Chemistry B, Analytical Biochemistry and Expert Systems with Applications.

In The Last Decade

Nidhi Arora

49 papers receiving 601 citations

Author Peers

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

Author						Papers	Cites
Nidhi Arora	185	115	97	96	80	57	625
Tomasz Arodź	246 1.3×	73 0.6×	73 0.8×	58 0.6×	42 0.5×	27	600
S. Siva Sathya	93 0.5×	226 2.0×	53 0.5×	59 0.6×	19 0.2×	45	766
Ming Liu	239 1.3×	194 1.7×	39 0.4×	46 0.5×	15 0.2×	43	742
Meshari Alazmi	183 1.0×	99 0.9×	74 0.8×	36 0.4×	43 0.5×	57	623
Marco Moreno-Ibarra	63 0.3×	120 1.0×	83 0.9×	65 0.7×	65 0.8×	56	742
Zhi Chen	92 0.5×	324 2.8×	67 0.7×	79 0.8×	29 0.4×	46	723
Eric Paquet	177 1.0×	142 1.2×	18 0.2×	79 0.8×	18 0.2×	61	698
Petr Holub	128 0.7×	137 1.2×	15 0.2×	74 0.8×	56 0.7×	75	684
Didier Devaurs	391 2.1×	53 0.5×	42 0.4×	156 1.6×	77 1.0×	29	745
Chien‐Hsing Chen	125 0.7×	102 0.9×	159 1.6×	56 0.6×	14 0.2×	64	772

Countries citing papers authored by Nidhi Arora

Since Specialization

Citations

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

Fields of papers citing papers by Nidhi Arora

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nidhi Arora

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