K. Esler

553 citations
25 papers · 398 · h-index 11

Impact in

Papers in

K. Esler

23 papers receiving 353 citations

Peers

K. Esler
Comparison fields: 5 of 48
  • Hardware and Architecture 70
  • Atomic and Molecular Physics, and Optics 176
  • Ocean Engineering 77
  • Condensed Matter Physics 56
  • Geophysics 51
Replace V. A. Vyssotsky with:
V. A. Vyssotsky United States
I. Zacharov Russia
Chi-Huan Tung United States
Phani Motamarri United States
N. Attig Germany
A. Maiorano Italy
Martin Bernreuther Germany
A. Arruabarrena Spain
Shinnosuke Hattori Japan
K. Esler relative to V. A. Vyssotsky United States V. A. Vyssotsky's profile →
Citations per field
00.5×12×
V. A. Vyssotsky · 1×
Citations per year

Countries citing papers authored by K. Esler

Since Specialization
Citations

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

Fields of papers citing papers by K. Esler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200378
2 201259
3 201052
4 201030
5 201428
6 201025
7 201423
8 200819
9 202111
10 201511
11 201611
12 201210
13 20216
14
Fully accelerating quantum Monte Carlo simulations of real materials on GPU clusters
20115
15 20155
16 20175
17 20164
18
Advancements in the Path Integral Monte Carlo Method for Many -Body Quantum Systems at Finite Temperature
20063
19 20143
20 20232

About K. Esler

K. Esler is a scholar working on Ocean Engineering, Atomic and Molecular Physics, and Optics, Computer Networks and Communications, Mechanical Engineering and Materials Chemistry, having authored 25 papers that have together received 398 indexed citations. Recurring topics across this work include Reservoir Engineering and Simulation Methods (12 papers), Enhanced Oil Recovery Techniques (9 papers), Advanced Chemical Physics Studies (6 papers), Hydraulic Fracturing and Reservoir Analysis (5 papers), Advanced Numerical Methods in Computational Mathematics (4 papers), Hydrocarbon exploration and reservoir analysis (4 papers), Machine Learning in Materials Science (4 papers) and Distributed and Parallel Computing Systems (4 papers). The work is most often cited by research in Hardware and Architecture (70 citations), Atomic and Molecular Physics, and Optics (176 citations), Ocean Engineering (77 citations), Condensed Matter Physics (56 citations) and Geophysics (51 citations). K. Esler has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Jeongnim Kim, David M. Ceperley, Luke Shulenburger, Markus Holzmann, Carlo Pierleoni, D. M. Ceperley, V. Natoli, K. Mukundakrishnan, Yongpeng Zhang and Bryan K. Clark. Their work appears in journals such as Computational Geosciences, Computing in Science & Engineering, SPE Journal, Computers & Mathematics with Applications and Physical Review Letters.

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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