Palash Panja

1.5k citations
62 papers · 1.2k indexed · h-index 16
Topics
Hydraulic Fracturing and Reservoir Analysis (26 papers)Reservoir Engineering and Simulation Methods (19 papers)Hydrocarbon exploration and reservoir analysis (19 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsExpert Systems with Applications
Partner nations
United StatesIndiaCanada

In The Last Decade

Palash Panja

59 papers receiving 1.1k citations

Peers

Palash Panja
Comparison fields: 5 of 108
  • Mechanical Engineering 470
  • Ocean Engineering 414
  • Mechanics of Materials 297
  • Renewable Energy, Sustainability and the Environment 247
  • Environmental Engineering 233
Replace Younas Dadmohammadi with:
Younas Dadmohammadi United States
Thomas J. Hughes Australia
R. Eggers Germany
Mustafa Önür United States
Azura Amid Malaysia
Zhiwei Ge China
Hongjuan Liu China
Chuanping Liu China
Abdolreza Kharaghani Germany
Decheng Zhang China
Palash Panja relative to Younas Dadmohammadi United States Younas Dadmohammadi's profile →
Citations per field
00.5×4.0×
Younas Dadmohammadi · 1×
Citations per year

Countries citing papers authored by Palash Panja

Since Specialization
Citations

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

Fields of papers citing papers by Palash Panja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Palash Panja

This figure shows the co-authorship network connecting the top 25 collaborators of Palash Panja. A scholar is included among the top collaborators of Palash Panja based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Palash Panja. Palash Panja is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 2
5 1
6 1
7 6
8 1
9 9
10 26
11 63
12 3
13 6
14 7
15 5
16
Prediction of Geomechanical Properties from Elemental Analysis using Machine Learning Algorithm
2
17 71
18 20
19 195
20 10

About Palash Panja

Palash Panja is a scholar working on Ocean Engineering, Mechanical Engineering and Analytical Chemistry, having authored 62 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hydraulic Fracturing and Reservoir Analysis (26 papers), Reservoir Engineering and Simulation Methods (19 papers) and Hydrocarbon exploration and reservoir analysis (19 papers). The work is most often cited by research in Ocean Engineering (414 citations), Biochemistry (103 citations) and Environmental Engineering (233 citations). Palash Panja has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Milind Deo, John McLennan, Mamata Mukhopadhyay, Manas A. Pathak, Joseph N. Moore, Sídney Green, Joseph Moore, Jan Goral, Jens-Oliver Schwarz and Matthew Andrew. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

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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