Manoj Jain

8.2k citations
271 papers · 6.5k · h-index 45

Impact in

Papers in

Manoj Jain

254 papers receiving 6.2k citations

Peers

Manoj Jain
Comparison fields: 5 of 182
  • Numerical Analysis 1.1k
  • Water Science and Technology 2.1k
  • Soil Science 1.1k
  • Global and Planetary Change 2.1k
  • Modeling and Simulation 325
Replace Mario Putti with:
Mario Putti Italy
William C. Yager United States
Г. И. Баренблатт United States
Eleuterio F. Toro Italy
David A. Benson United States
Hermann Schlichting Germany
Yong Zhang China
Stephen W. Wheatcraft United States
G. Matheron France
Jean‐François Remacle Belgium
Manoj Jain relative to Mario Putti Italy Mario Putti's profile →
Citations per field
00.5×10×17.1×
Mario Putti · 1×
Citations per year

Countries citing papers authored by Manoj Jain

Since Specialization
Citations

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

Fields of papers citing papers by Manoj Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 271 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015243
2 2000235
3 1981226
4 2005217
5 2009161
6 1978138
7 2013133
8 1985132
9 2004116
10 2018113
11 2004110
12 2006108
13 2013107
14 200198
15 201996
16 200289
17 202086
18 200783
19 198183
20 201481

About Manoj Jain

Manoj Jain is a scholar working on Numerical Analysis, Water Science and Technology, Global and Planetary Change, Computational Mechanics and Soil Science, having authored 271 papers that have together received 6.5k indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (59 papers), Numerical methods for differential equations (50 papers), Differential Equations and Numerical Methods (48 papers), Hydrology and Drought Analysis (26 papers), Advanced Numerical Methods in Computational Mathematics (23 papers), Soil erosion and sediment transport (22 papers), Flood Risk Assessment and Management (20 papers) and Climate variability and models (20 papers). The work is most often cited by research in Numerical Analysis (1.1k citations), Water Science and Technology (2.1k citations), Soil Science (1.1k citations), Global and Planetary Change (2.1k citations) and Modeling and Simulation (325 citations). Manoj Jain has collaborated with scholars based in India, United States and Mauritius. Frequent co-authors include R. K. Mohanty, N. Tzoar, Vivek Gupta, U. C. Kothyari, Sumeet Mishra, Vijay P. Singh, Rajendra Pandey, Vinit Jain, K. G. Ranga Raju and N. K. Goel. Their work appears in journals such as Numerical Methods for Partial Differential Equations, Water Resources Management, Journal of Hydrologic Engineering, Journal of Computational and Applied Mathematics and Journal of Hydrology.

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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