Neha Goyal

70 total papers · 510 total citations
41 papers, 340 citations indexed

About

Neha Goyal is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Analytical Chemistry. According to data from OpenAlex, Neha Goyal has authored 41 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Plant Science, 6 papers in Ecology, Evolution, Behavior and Systematics and 6 papers in Analytical Chemistry. Recurrent topics in Neha Goyal's work include Smart Agriculture and AI (11 papers), Leaf Properties and Growth Measurement (7 papers) and Plant and animal studies (6 papers). Neha Goyal is often cited by papers focused on Smart Agriculture and AI (11 papers), Leaf Properties and Growth Measurement (7 papers) and Plant and animal studies (6 papers). Neha Goyal collaborates with scholars based in India. Neha Goyal's co-authors include Gyan Prakash Sharma, Nitin Kumar, Bharti Sapra, Sridhar Sivasubbu, P. Pardha-Saradhi, Ambily Sivadas, Shamsudheen Karuthedath Vellarikkal, Vinod Scaria, Rijith Jayarajan and Ankit Verma and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Industry Applications and Environmental Monitoring and Assessment.

In The Last Decade

Neha Goyal

37 papers receiving 318 citations

Author Peers

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

Author						Papers	Cites
Neha Goyal	99	58	53	36	32	41	340
Xiaoyu Sun	56 0.6×	32 0.6×	38 0.7×	8 0.2×	18 0.6×	42	397
Yanqin Jiang	145 1.5×	59 1.0×	90 1.7×	8 0.2×	15 0.5×	20	330
T. P. Bogyó	140 1.4×	42 0.7×	44 0.8×	7 0.2×	53 1.7×	22	348
Milan Gavrilović	165 1.7×	112 1.9×	53 1.0×	60 1.7×	30 0.9×	39	376
Ana M. Pires	44 0.4×	32 0.6×	18 0.3×	6 0.2×	25 0.8×	32	381
Priscila T. M. Saito	67 0.7×	86 1.5×	73 1.4×	39 1.1×	4 0.1×	31	306
Xuefeng Wang	64 0.6×	38 0.7×	20 0.4×	3 0.1×	5 0.2×	37	365
Jun Li	110 1.1×	94 1.6×	18 0.3×	28 0.8×	11 0.3×	21	315
Alain Baccini	36 0.4×	127 2.2×	7 0.1×	10 0.3×	21 0.7×	15	334
Wen Xiao	69 0.7×	126 2.2×	14 0.3×	64 1.8×	4 0.1×	48	373

Countries citing papers authored by Neha Goyal

Since Specialization

Citations

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

Fields of papers citing papers by Neha Goyal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neha Goyal

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