Neha Soni

31 total papers · 446 total citations
14 papers, 219 citations indexed

About

Neha Soni is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Artificial Intelligence. According to data from OpenAlex, Neha Soni has authored 14 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 5 papers in Information Systems and 4 papers in Artificial Intelligence. Recurrent topics in Neha Soni's work include Face and Expression Recognition (4 papers), Brain Tumor Detection and Classification (2 papers) and Web Data Mining and Analysis (2 papers). Neha Soni is often cited by papers focused on Face and Expression Recognition (4 papers), Brain Tumor Detection and Classification (2 papers) and Web Data Mining and Analysis (2 papers). Neha Soni collaborates with scholars based in India and United States. Neha Soni's co-authors include Amita Kapoor, Enakshi K. Sharma, Narotam Singh, Ken Museth, Ross Whitaker, David E. Breen, Hemal H. Patel and Sanjay Ahuja and has published in prestigious journals such as Multimedia Tools and Applications, Electronics and Journal of Computational Science.

In The Last Decade

Neha Soni

13 papers receiving 195 citations

Author Peers

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

Author						Papers	Cites
Neha Soni	55	48	44	34	30	14	219
Khalaf Khatatneh	94 1.7×	52 1.1×	44 1.0×	41 1.2×	29 1.0×	17	282
Amita Kapoor	55 1.0×	51 1.1×	29 0.7×	34 1.0×	31 1.0×	24	233
Peyman Najafirad	67 1.2×	20 0.4×	46 1.0×	24 0.7×	18 0.6×	20	238
Edmond Prakash	62 1.1×	31 0.6×	38 0.9×	116 3.4×	13 0.4×	16	304
Howard Lei	97 1.8×	26 0.5×	70 1.6×	68 2.0×	15 0.5×	26	317
Ting Lie	56 1.0×	35 0.7×	29 0.7×	58 1.7×	10 0.3×	12	310
Donna L. Gresh	41 0.7×	27 0.6×	114 2.6×	33 1.0×	36 1.2×	13	250
Yihao Feng	66 1.2×	32 0.7×	33 0.8×	16 0.5×	13 0.4×	19	179
Poonam Garg	42 0.8×	72 1.5×	15 0.3×	23 0.7×	17 0.6×	12	215
A. Martin	65 1.2×	72 1.5×	25 0.6×	38 1.1×	8 0.3×	20	263

Countries citing papers authored by Neha Soni

Since Specialization

Citations

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

Fields of papers citing papers by Neha Soni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neha Soni

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