Anand Mohan Dixit

29 total papers · 411 total citations
15 papers, 299 citations indexed

About

Anand Mohan Dixit is a scholar working on Public Health, Environmental and Occupational Health, Clinical Psychology and Economics and Econometrics. According to data from OpenAlex, Anand Mohan Dixit has authored 15 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Public Health, Environmental and Occupational Health, 3 papers in Clinical Psychology and 3 papers in Economics and Econometrics. Recurrent topics in Anand Mohan Dixit's work include Health and Well-being Studies (3 papers), COVID-19 Pandemic Impacts (2 papers) and Healthcare and Environmental Waste Management (2 papers). Anand Mohan Dixit is often cited by papers focused on Health and Well-being Studies (3 papers), COVID-19 Pandemic Impacts (2 papers) and Healthcare and Environmental Waste Management (2 papers). Anand Mohan Dixit collaborates with scholars based in India and United States. Anand Mohan Dixit's co-authors include Alan Wood, Pankaj Kumar Jain, Prashant Kumar Bajpai, Rama Shankar Rath, Ajay Singh, Dhiraj Kumar Srivastava, Hari Shanker Joshi, Naresh Pal Singh, Priyanka Bansal and Pankaj Jain and has published in prestigious journals such as SHILAP Revista de lepidopterología, Indian Journal of Community Health and PubMed.

In The Last Decade

Anand Mohan Dixit

14 papers receiving 290 citations

Author Peers

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

Author						Papers	Cites
Anand Mohan Dixit	219	153	54	32	17	15	299
Nisha George	63 0.3×	42 0.3×	16 0.3×	22 0.7×	32 1.9×	17	309
William T. Marshall	72 0.3×	43 0.3×	175 3.2×	14 0.4×	6 0.4×	23	293
John Day	73 0.3×	87 0.6×	56 1.0×	12 0.4×	8 0.5×	15	347
V. R. Muraleedharan	84 0.4×	93 0.6×	105 1.9×	19 0.6×	25 1.5×	10	316
Jérémy Lardon	59 0.3×	44 0.3×	28 0.5×	16 0.5×	8 0.5×	14	303
Li‐Ling Hung	135 0.6×	17 0.1×	173 3.2×	29 0.9×	50 2.9×	38	318
Christopher C. Lamb	33 0.2×	91 0.6×	141 2.6×	4 0.1×	18 1.1×	27	277
Alejandra Molano‐Triviño	38 0.2×	42 0.3×	111 2.1×	14 0.4×	13 0.8×	34	262
Bailey	71 0.3×	64 0.4×	67 1.2×	40 1.3×	10 0.6×	15	340
R Jayaseelan	118 0.5×	182 1.2×	123 2.3×	1 0.0×	10 0.6×	20	323

Countries citing papers authored by Anand Mohan Dixit

Since Specialization

Citations

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

Fields of papers citing papers by Anand Mohan Dixit

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anand Mohan Dixit. 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 Anand Mohan Dixit. The network helps show where Anand Mohan Dixit may publish in the future.

Co-authorship network of co-authors of Anand Mohan Dixit

This figure shows the co-authorship network connecting the top 25 collaborators of Anand Mohan Dixit. A scholar is included among the top collaborators of Anand Mohan Dixit 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 Anand Mohan Dixit. Anand Mohan Dixit 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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