Samrat Chatterjee

3.6k citations
88 papers · 793 · h-index 16

Impact in

Papers in

Samrat Chatterjee

80 papers receiving 755 citations

Peers

Samrat Chatterjee
Comparison fields: 5 of 118
  • Modeling and Simulation 115
  • Public Health, Environmental and Occupational Health 330
  • Genetics 247
  • Infectious Diseases 113
  • Insect Science 50
Replace Priti Kumar Roy with:
Priti Kumar Roy India
Ram Rup Sarkar India
Lan Zou China
Yongfeng Li China
Joaquim Valls Spain
Tao Feng China
Nandadulal Bairagi India
Kamil Erguler Cyprus
Sandip Banerjee India
Samrat Chatterjee relative to Priti Kumar Roy India Priti Kumar Roy's profile →
Citations per field
00.5×1.5×
Priti Kumar Roy · 1×
Citations per year

Countries citing papers authored by Samrat Chatterjee

Since Specialization
Citations

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

Fields of papers citing papers by Samrat Chatterjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Samrat Chatterjee, 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 Samrat Chatterjee Line = papers co-authored together Samrat Chatterjee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201477
2 200746
3 201543
4 200638
5 200838
6 200832
7 200732
8 200932
9 200826
10 200621
11 200621
12 202120
13 201519
14
Development Of Mix Design And Testing Procedures For Cold Patching Mixtures
200617
15 201515
16 201115
17 201414
18 200614
19 200713
20 202012

About Samrat Chatterjee

Samrat Chatterjee is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Genetics, Infectious Diseases and Epidemiology, having authored 88 papers that have together received 793 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (22 papers), Evolution and Genetic Dynamics (16 papers), Bioinformatics and Genomic Networks (14 papers), Tuberculosis Research and Epidemiology (9 papers), Biochemical and Molecular Research (7 papers), Gene Regulatory Network Analysis (7 papers), COVID-19 epidemiological studies (6 papers) and Cardiac electrophysiology and arrhythmias (5 papers). The work is most often cited by research in Modeling and Simulation (115 citations), Public Health, Environmental and Occupational Health (330 citations), Genetics (247 citations), Infectious Diseases (113 citations) and Insect Science (50 citations). Samrat Chatterjee has collaborated with scholars based in India, Italy and United States. Frequent co-authors include Joydev Chattopadhyay, Ezio Venturino, Joydev Chattopadhyay, Kanury V. S. Rao, Nandadulal Bairagi, Krishna Pada Das, Samares Pal, Marco Isaia, Subhendu Chakraborty and Dipanka Tanu Sarmah. Their work appears in journals such as Journal of Theoretical Biology, Applied Mathematical Modelling, Scientific Reports, Mathematical Biosciences and Ecological Complexity.

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.

Explore authors with similar magnitude of impact