Shiv Lal

32 papers receiving 362 citations

Peers

Shiv Lal
Comparison fields: 5 of 73
  • Parasitology 160
  • Infectious Diseases 151
  • Public Health, Environmental and Occupational Health 110
  • Management Science and Operations Research 65
  • Computational Theory and Mathematics 62
Replace F. M. G. Magpantay with:
F. M. G. Magpantay Canada
Monsuru Adeleke Nigeria
Peter J. Witbooi South Africa
Meïli Baragatti France
Allan Schapira Switzerland
Robert L. Farrell United States
Gideon A. Ngwa Cameroon
Б. А. Ефимов Russia
Jean-François Trape Senegal
Malcolm Guy United Kingdom
Shiv Lal relative to F. M. G. Magpantay Canada F. M. G. Magpantay's profile →
Citations per field
00.5×10×15×21.7×
F. M. G. Magpantay · 1×
Citations per year

Countries citing papers authored by Shiv Lal

Since Specialization
Citations

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

Fields of papers citing papers by Shiv Lal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiv Lal

This figure shows the co-authorship network connecting the top 25 collaborators of Shiv Lal. A scholar is included among the top collaborators of Shiv Lal 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 Shiv Lal. Shiv Lal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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Risk factors involved in the transmission of dengue/DHF in some selected localities of Jaipur (Rajasthan), India.
2
8
Status of lymphatic filariasis in Lucknow District, Uttar Pradesh.
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9 102
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Lymphatic filariasis in rural areas of Patna District, Bihar. A challenge ahead.
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11
A report on the susceptibility status of Anopheles minimus (Theobald) against DDT and deltamethrin in three districts of Assam.
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Outdoor resting preference of Culex tritaeniorhynchus, the vector of Japanese encephalitis in Warangal and Karim Nagar districts, Andhra Pradesh.
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13 5
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AN EXTENSION OF TELCI, TAS AND FISHER'S THEOREM
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18 50
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About Shiv Lal

Shiv Lal is a scholar working on Parasitology, Geometry and Topology and Infectious Diseases, having authored 36 papers that have together received 417 indexed citations. Recurring topics across this work include Parasitic Diseases Research and Treatment (5 papers), Fixed Point Theorems Analysis (5 papers) and Viral Infections and Vectors (4 papers). The work is most often cited by research in Parasitology (160 citations), Infectious Diseases (151 citations) and Geometry and Topology (53 citations). Shiv Lal has collaborated with scholars based in India, Australia and Fiji. Frequent co-authors include Arun K. Srivastava, Arvind Kumar Singh, G. P. S. Dhillon, Peter B. Mather, John A. Wilson, A C Dhariwal, Kalpana Baruah, Birendra Nath, Durlav Prasad Bora and Nazeer Ahmed. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Proceedings of the American Mathematical Society and Land Degradation and Development.

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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