Saheb Pal

17 papers receiving 576 citations

Peers

Saheb Pal
Comparison fields: 5 of 54
  • Modeling and Simulation 100
  • Public Health, Environmental and Occupational Health 503
  • Genetics 435
  • Sociology and Political Science 224
  • Global and Planetary Change 83
Replace P. D. N. Srinivasu with:
P. D. N. Srinivasu India
Bapan Ghosh India
Xiaoqing He China
O. P. Misra India
Alakes Maiti India
Gunog Seo Canada
Partha Sarathi Mandal India
Hua Nie China
Xiaoying Wang Canada
Saheb Pal relative to P. D. N. Srinivasu India P. D. N. Srinivasu's profile →
Citations per field
00.5×2.6×
P. D. N. Srinivasu · 1×
Citations per year

Countries citing papers authored by Saheb Pal

Since Specialization
Citations

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

Fields of papers citing papers by Saheb Pal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Saheb Pal, 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 Saheb Pal Line = papers co-authored together Saheb Pal links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2019159
2 201994
3 201992
4 200956
5 201843
6 202028
7 201824
8 202121
9 202121
10 202018
11 202413
12 20239
13 20239
14 20236
15 20226
16 20234
17 20251
18 20240
19 20240

About Saheb Pal

Saheb Pal is a scholar working on Public Health, Environmental and Occupational Health, Genetics, Sociology and Political Science, Global and Planetary Change and Computer Networks and Communications, having authored 19 papers that have together received 604 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (16 papers), Evolution and Genetic Dynamics (14 papers), Evolutionary Game Theory and Cooperation (9 papers), Ecosystem dynamics and resilience (3 papers), Nonlinear Dynamics and Pattern Formation (3 papers), Animal Ecology and Behavior Studies (2 papers), Hydrology and Watershed Management Studies (1 paper) and Hydrology and Drought Analysis (1 paper). The work is most often cited by research in Modeling and Simulation (100 citations), Public Health, Environmental and Occupational Health (503 citations), Genetics (435 citations), Sociology and Political Science (224 citations) and Global and Planetary Change (83 citations). Saheb Pal has collaborated with scholars based in India, Japan and Saudi Arabia. Frequent co-authors include Nikhil Pal, Joydev Chattopadhyay, Sudip Samanta, Sourav Kumar Sasmal, N. C. Pati, Pankaj Kumar Tiwari, Indrajit Ghosh, Pijush Panday, Sourav Rana and G. C. Layek. Their work appears in journals such as International Journal of Bifurcation and Chaos, Mathematics and Computers in Simulation, Chaos An Interdisciplinary Journal of Nonlinear Science, Nonlinear Dynamics and Ecological Modelling.

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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