Munish Kumar

409 citations
20 papers · 337 · h-index 11

Impact in

Papers in

Munish Kumar

20 papers receiving 331 citations

Peers

Munish Kumar
Comparison fields: 5 of 45
  • Civil and Structural Engineering 229
  • Water Science and Technology 98
  • Environmental Engineering 100
  • Soil Science 45
  • Ecology 55
Replace Karan Singh with:
Karan Singh India
Tarek Selim Egypt
Mingyang Li China
Jungkyu Ahn South Korea
Subodh Ranjan India
S. Hooman Mousavi Iran
Tamer Bağatur Türkiye
Fikret Kocabaş Türkiye
Claude Joannis France
A. Kotowski Poland
Munish Kumar relative to Karan Singh India Karan Singh's profile →
Citations per field
00.5×1.5×2.2×
Karan Singh · 1×
Citations per year

Countries citing papers authored by Munish Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Munish Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201893
2 201933
3 202030
4 202021
5 201721
6 201820
7 201820
8 202215
9 202015
10 202114
11 202014
12 20218
13 20217
14
Enhanced soft computing for ensemble approach to estimate the compressive strength of high strength concrete
20196
15 20126
16 20235
17 20194
18 20133
19 20221
20 20251

About Munish Kumar

Munish Kumar is a scholar working on Civil and Structural Engineering, Mechanics of Materials, Control and Systems Engineering, Aerospace Engineering and Biomedical Engineering, having authored 20 papers that have together received 337 indexed citations. Recurring topics across this work include Flow Measurement and Analysis (6 papers), Hydraulic flow and structures (5 papers), Water Systems and Optimization (5 papers), Nuclear Engineering Thermal-Hydraulics (4 papers), Fluid Dynamics and Mixing (4 papers), Soil and Unsaturated Flow (3 papers), Hydrological Forecasting Using AI (2 papers) and Hydrology and Watershed Management Studies (2 papers). The work is most often cited by research in Civil and Structural Engineering (229 citations), Water Science and Technology (98 citations), Environmental Engineering (100 citations), Soil Science (45 citations) and Ecology (55 citations). Munish Kumar has collaborated with scholars based in India, Nepal and Greece. Frequent co-authors include Parveen Sihag, N. K. Tiwari, Subodh Ranjan, Praveen Jain, Balraj Singh, Rakesh Kumar Gupta, Saad Sh. Sammen, Anastasia Angelaki, Siraj Muhammed Pandhiani and Suresh Kumar. Their work appears in journals such as Applied Water Science, Arabian Journal for Science and Engineering, Geology Ecology and Landscapes, International Journal of Environmental Science and Technology and Modeling Earth Systems and Environment.

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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