Neha Saini

95 total papers · 2.0k total citations
56 papers, 1.3k citations indexed

About

Neha Saini is a scholar working on Strategy and Management, Marketing and Economics and Econometrics. According to data from OpenAlex, Neha Saini has authored 56 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Strategy and Management, 20 papers in Marketing and 18 papers in Economics and Econometrics. Recurrent topics in Neha Saini's work include Environmental Sustainability in Business (20 papers), Sustainable Supply Chain Management (12 papers) and Corporate Social Responsibility Reporting (11 papers). Neha Saini is often cited by papers focused on Environmental Sustainability in Business (20 papers), Sustainable Supply Chain Management (12 papers) and Corporate Social Responsibility Reporting (11 papers). Neha Saini collaborates with scholars based in India, Australia and Saudi Arabia. Neha Saini's co-authors include Monica Singhania, Sakshi Sharma, Sachin Kumar Mangla, Weng Marc Lim, Satish Kumar, Arup Varma, Angappa Gunasekaran, Morshadul Hasan, Mohammad Zoynul Abedin and Miklesh Prasad Yadav and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Journal of Business Research.

In The Last Decade

Neha Saini

48 papers receiving 1.2k citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

Author Peers

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

Author						Papers	Cites
Neha Saini	565	554	319	191	130	56	1.3k
Monica Singhania	598 1.1×	576 1.0×	250 0.8×	384 2.0×	88 0.7×	51	1.3k
Andrew Osei Agyemang	591 1.0×	699 1.3×	476 1.5×	167 0.9×	80 0.6×	49	1.3k
Ijaz Ur Rehman	389 0.7×	621 1.1×	167 0.5×	401 2.1×	127 1.0×	60	1.3k
Béchir Ben Lahouel	335 0.6×	822 1.5×	330 1.0×	153 0.8×	94 0.7×	40	1.3k
Guanglin Sun	316 0.6×	845 1.5×	274 0.9×	226 1.2×	93 0.7×	34	1.3k
Umar Farooq	273 0.5×	792 1.4×	207 0.6×	159 0.8×	68 0.5×	94	1.1k
Farid Ullah	382 0.7×	493 0.9×	177 0.6×	330 1.7×	60 0.5×	57	1.3k
Asif Saeed	597 1.1×	650 1.2×	311 1.0×	472 2.5×	69 0.5×	50	1.5k
Mirela Panait	312 0.6×	716 1.3×	166 0.5×	133 0.7×	138 1.1×	100	1.5k
Dolores Añón Higón	451 0.8×	911 1.6×	141 0.4×	104 0.5×	116 0.9×	44	1.4k

Countries citing papers authored by Neha Saini

Since Specialization

Citations

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

Fields of papers citing papers by Neha Saini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neha Saini

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