Ryan A. Kudva

729 citations
14 papers · 626 · h-index 12

Impact in

    • Polymer crystallization and properties
    • Polymer Nanocomposites and Properties
    • Natural Fiber Reinforced Composites
  • Biomaterials top 10%
    • biodegradable polymer synthesis and properties

Papers in

Ryan A. Kudva

14 papers receiving 610 citations

Peers

Ryan A. Kudva
Comparison fields: 5 of 40
  • Polymers and Plastics 374
  • Biomaterials 169
  • Ocean Engineering 154
  • Mechanics of Materials 222
  • Mechanical Engineering 247
Replace Bingjian Li with:
Bingjian Li China
Sreejith Krishnan India
Michael T. Takemori United States
B. Yalcin United States
Katsuhiko Terada Japan
Bernadette Craster United Kingdom
Naima Bestaoui-Spurr United States
Yansheng Zhao China
Ryan A. Kudva relative to Bingjian Li China Bingjian Li's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ryan A. Kudva

Since Specialization
Citations

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

Fields of papers citing papers by Ryan A. Kudva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan A. Kudva. 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 Ryan A. Kudva. The network helps show where Ryan A. Kudva may publish in the future.

Co-authors

The 11 scholars most cited alongside Ryan A. Kudva, 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 Ryan A. Kudva Line = papers co-authored together Ryan A. Kudva links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 1998111
2 200097
3 201388
4 200075
5 199960
6 201255
7 200049
8 201422
9 199917
10
Steady-State Stress-Dependent Permeability Measurements of Tight Oil-Bearing Rocks
201517
11 201412
12 201411
13 201411
14 20141

About Ryan A. Kudva

Ryan A. Kudva is a scholar working on Mechanics of Materials, Mechanical Engineering, Polymers and Plastics, Ocean Engineering and Environmental Engineering, having authored 14 papers that have together received 626 indexed citations. Recurring topics across this work include Polymer crystallization and properties (6 papers), Hydrocarbon exploration and reservoir analysis (6 papers), Hydraulic Fracturing and Reservoir Analysis (6 papers), Polymer Nanocomposites and Properties (5 papers), Natural Fiber Reinforced Composites (3 papers), Groundwater flow and contamination studies (2 papers), Petroleum Processing and Analysis (2 papers) and Enhanced Oil Recovery Techniques (2 papers). The work is most often cited by research in Polymers and Plastics (374 citations), Biomaterials (169 citations), Ocean Engineering (154 citations), Mechanics of Materials (222 citations) and Mechanical Engineering (247 citations). Ryan A. Kudva has collaborated with scholars based in United States, Germany and Bulgaria. Frequent co-authors include H. Keskkula, Donald R. Paul, D.R. Paul, Sergio A. Leonardi, Edward M. Braun, Q. R. Passey, Sandeep Sinha, Shreerang S. Chhatre, Toshihiko Harada and William L. Esch. Their work appears in journals such as Polymer, Petrophysics – The SPWLA Journal of Formation Evaluation and Reservoir Description, SPE Reservoir Evaluation & Engineering, SPE Middle East Oil and Gas Show and Conference and International Petroleum Technology Conference.

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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