Kusum Lata

37 total papers · 531 total citations
25 papers, 395 citations indexed

About

Kusum Lata is a scholar working on Global and Planetary Change, Public Health, Environmental and Occupational Health and Nature and Landscape Conservation. According to data from OpenAlex, Kusum Lata has authored 25 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Global and Planetary Change, 8 papers in Public Health, Environmental and Occupational Health and 4 papers in Nature and Landscape Conservation. Recurrent topics in Kusum Lata's work include Forest Management and Policy (8 papers), Mathematical and Theoretical Epidemiology and Ecology Models (8 papers) and Ecology and Vegetation Dynamics Studies (4 papers). Kusum Lata is often cited by papers focused on Forest Management and Policy (8 papers), Mathematical and Theoretical Epidemiology and Ecology Models (8 papers) and Ecology and Vegetation Dynamics Studies (4 papers). Kusum Lata collaborates with scholars based in India, Saudi Arabia and Iraq. Kusum Lata's co-authors include A. K. Misra, J.B. Shukla, Satya Narayan Patel, Sudhir P. Singh, R. S. Sangwan, Manisha Sharma, Umesh Singh, Vinod Kumar, Meena Krishania and Satya N. Mishra and has published in prestigious journals such as Bioresource Technology, Chaos Solitons & Fractals and Applied Mathematical Modelling.

In The Last Decade

Kusum Lata

24 papers receiving 381 citations

Author Peers

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

Author						Papers	Cites
Kusum Lata	162	98	49	43	38	25	395
Qian Zhang	78 0.5×	9 0.1×	96 2.0×	8 0.2×	39 1.0×	24	340
Moira A. Mugglestone	53 0.3×	29 0.3×	52 1.1×	17 0.4×	3 0.1×	14	388
Xiaojing Guo	177 1.1×	14 0.1×	131 2.7×	4 0.1×	73 1.9×	17	417
Saima Altaf	27 0.2×	95 1.0×	29 0.6×	15 0.3×	2 0.1×	38	365
Asad Ali	79 0.5×	35 0.4×	12 0.2×	4 0.1×	13 0.3×	38	362
Yao Li	119 0.7×	51 0.5×	15 0.3×	5 0.1×	4 0.1×	51	411
Rabin Neslo	90 0.6×	39 0.4×	18 0.4×	3 0.1×	6 0.2×	16	419
F Doveri	24 0.1×	54 0.6×	8 0.2×	98 2.3×	13 0.3×	23	358
David Cooley	113 0.7×	7 0.1×	21 0.4×	9 0.2×	2 0.1×	20	351
Haiyan Hou	119 0.7×	54 0.6×	10 0.2×	11 0.3×		32	411

Countries citing papers authored by Kusum Lata

Since Specialization

Citations

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

Fields of papers citing papers by Kusum Lata

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kusum Lata

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