Shantenu Jha

4.2k citations
152 papers · 1.7k indexed · h-index 23

Shantenu Jha

144 papers receiving 1.6k citations

Peers

Shantenu Jha
Comparison fields: 5 of 129
  • Information Systems and Management 471
  • Computer Networks and Communications 832
  • Hardware and Architecture 187
  • Information Systems 516
  • Computational Theory and Mathematics 120
Replace Wolfgang E. Nagel with:
Wolfgang E. Nagel Germany
Michela Taufer United States
Mike Wilde United States
Abhinav Bhatelé United States
Erwin Laure Sweden
Alan Sussman United States
K. Blackburn United States
Alain Roy United States
Bill Kramer United States
Sameer Kumar United States
Shantenu Jha relative to Wolfgang E. Nagel Germany Wolfgang E. Nagel's profile →
Citations per field
00.5×3.0×
Wolfgang E. Nagel · 1×
Citations per year

Countries citing papers authored by Shantenu Jha

Since Specialization
Citations

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

Fields of papers citing papers by Shantenu Jha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20250
4 20250
5 20249
6 20243
7 20249
8 20242
9 20222
10 20185
11
EnsembleMD Toolkit: Scalable and Flexible Execution of Ensembles of Molecular Simulations.
20161
12 20161
13
A Comprehensive Perspective on the Pilot-Job Abstraction.
20153
14 201514
15
Advancing hydrometeorological prediction capabilities through standards-based cyberinfrastructure development: The community WRF-Hydro modeling system
20131
16 201216
17 20111
18 20103
19
Abstractions for Distributed Applications and Systems: A Computational Science Perspective
20102
20 20064

About Shantenu Jha

Shantenu Jha is a scholar working on Information Systems and Management, Computer Networks and Communications and Hardware and Architecture, having authored 152 papers that have together received 1.7k indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (82 papers), Scientific Computing and Data Management (68 papers), Advanced Data Storage Technologies (44 papers), Cloud Computing and Resource Management (36 papers), Protein Structure and Dynamics (16 papers), Parallel Computing and Optimization Techniques (16 papers), RNA and protein synthesis mechanisms (10 papers) and Machine Learning in Materials Science (9 papers). The work is most often cited by research in Information Systems and Management (471 citations), Computer Networks and Communications (832 citations) and Hardware and Architecture (187 citations). Shantenu Jha has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include André Luckow, Peter V. Coveney, André Merzky, Manish Parashar, Hyunjoo Kim, Joo-Hyun Kim, Fareed Aboul‐ela, David W. Wright, Wei Huang and Benjamin A. Hall. Their work appears in journals such as Nucleic Acids Research, Nature Communications and The Journal of Chemical Physics.

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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