A. K. Misra

5.0k citations
206 papers · 3.7k · h-index 31

Impact in

Papers in

A. K. Misra

197 papers receiving 3.6k citations

Peers

A. K. Misra
Comparison fields: 5 of 167
  • Modeling and Simulation 1.2k
  • Public Health, Environmental and Occupational Health 1.6k
  • Global and Planetary Change 586
  • Genetics 728
  • Statistical and Nonlinear Physics 254
Replace Renato Casagrandi with:
Renato Casagrandi Italy
Marino Gatto Italy
Yongli Cai China
Joydev Chattopadhyay India
Sudip Samanta India
Pankaj Kumar Tiwari India
Thomas G. Hallam United States
Lorenzo Mari Italy
Balram Dubey India
A. K. Misra relative to Renato Casagrandi Italy Renato Casagrandi's profile →
Citations per field
00.5×1.5×1.9×
Renato Casagrandi · 1×
Citations per year

Countries citing papers authored by A. K. Misra

Since Specialization
Citations

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

Fields of papers citing papers by A. K. Misra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. K. Misra. 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 A. K. Misra. The network helps show where A. K. Misra may publish in the future.

Co-authors

The 25 scholars most cited alongside A. K. Misra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with A. K. Misra Line = papers co-authored together A. K. Misra links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 206 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996248
2 2010197
3 2021124
4 1991118
5 2013111
6 201180
7 202176
8 201572
9 202162
10 201761
11 201859
12 200858
13 200757
14 201553
15 201652
16 201152
17 201249
18 200747
19 201846
20 201345

About A. K. Misra

A. K. Misra is a scholar working on Public Health, Environmental and Occupational Health, Global and Planetary Change, Modeling and Simulation, Genetics and Plant Science, having authored 206 papers that have together received 3.7k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (87 papers), COVID-19 epidemiological studies (39 papers), Evolution and Genetic Dynamics (33 papers), Aquatic Ecosystems and Phytoplankton Dynamics (21 papers), Marine and coastal ecosystems (17 papers), Atmospheric aerosols and clouds (16 papers), Legume Nitrogen Fixing Symbiosis (12 papers) and Ecosystem dynamics and resilience (12 papers). The work is most often cited by research in Modeling and Simulation (1.2k citations), Public Health, Environmental and Occupational Health (1.6k citations), Global and Planetary Change (586 citations), Genetics (728 citations) and Statistical and Nonlinear Physics (254 citations). A. K. Misra has collaborated with scholars based in India, United States and Italy. Frequent co-authors include J.B. Shukla, Maitri Verma, Pankaj Kumar Tiwari, Rajanish Kumar, Kusum Lata, Anupama Sharma, Anupama Sharma, Peeyush Chandra, Ezio Venturino and Vishal Singh. Their work appears in journals such as International Journal of Biomathematics, International Journal of Bifurcation and Chaos, Applied Mathematics and Computation, Modeling Earth Systems and Environment and Mathematical Biosciences & Engineering.

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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