Nimar S. Arora

426 total citations
10 papers, 261 citations indexed

About

Nimar S. Arora is a scholar working on Artificial Intelligence, Ocean Engineering and Computer Networks and Communications. According to data from OpenAlex, Nimar S. Arora has authored 10 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Ocean Engineering and 2 papers in Computer Networks and Communications. Recurrent topics in Nimar S. Arora's work include Bayesian Modeling and Causal Inference (3 papers), Reservoir Engineering and Simulation Methods (3 papers) and Parallel Computing and Optimization Techniques (2 papers). Nimar S. Arora is often cited by papers focused on Bayesian Modeling and Causal Inference (3 papers), Reservoir Engineering and Simulation Methods (3 papers) and Parallel Computing and Optimization Techniques (2 papers). Nimar S. Arora collaborates with scholars based in United States, Austria and Israel. Nimar S. Arora's co-authors include Robert D. Blumofe, C. Greg Plaxton, Heidi Anderson Kuzma, Arun Kumar, Lei Gao, Stuart Russell, Jingwei Wu, Erik Meijer, Erik B. Sudderth and Viet-An Nguyen and has published in prestigious journals such as Pure and Applied Geophysics, Proceedings - International Conference on Data Engineering and Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.

In The Last Decade

Nimar S. Arora

9 papers receiving 232 citations

Peers

Nimar S. Arora

CNC

HA

IS

AI

IME

David P. Bunde United States

Apan Qasem United States

Luís Nogueira Portugal

Jih‐Sheng Chang Taiwan

Jaiganesh Balasubramanian United States

Joefon Jann United States

S. Kartik Switzerland

Sisu Xi United States

Augusto Ciuffoletti Italy

Philippe Marquet France

David P. Bunde United States

Nimar S. Arora

215 ×1.0

CNC

165 ×0.8

HA

78 ×1.3

IS

13 ×0.5

AI

31 ×2.2

IME

Citations per year, relative to Nimar S. Arora Nimar S. Arora (= 1×) peers David P. Bunde

Countries citing papers authored by Nimar S. Arora

Since Specialization

Citations

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

Fields of papers citing papers by Nimar S. Arora

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nimar S. Arora. 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 Nimar S. Arora. The network helps show where Nimar S. Arora may publish in the future.

Co-authorship network of co-authors of Nimar S. Arora

This figure shows the co-authorship network connecting the top 25 collaborators of Nimar S. Arora. A scholar is included among the top collaborators of Nimar S. Arora 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 Nimar S. Arora. Nimar S. Arora is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Arora, Nimar S., et al.. (2024). Suppressing Coda Events with a Bayesian Model of Global Scale Seismology. Pure and Applied Geophysics. 182(12). 4999–5013.

2.

Nguyen, Viet-An, et al.. (2022). Crowdsourcing with Contextual Uncertainty. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 68. 3645–3655. 3 indexed citations

3.

Arora, Nimar S., et al.. (2020). Bean Machine: A Declarative Probabilistic Programming Language For Efficient Programmable Inference.. 485–496. 4 indexed citations

4.

Arora, Nimar S., et al.. (2019). HackPPL: a universal probabilistic programming language. 20–28. 5 indexed citations

5.

Kuzma, Heidi Anderson, et al.. (2015). Big Data Every Day: Predictive Analytics Used to Improve Production Surveillance. 5 indexed citations

6.

Kuzma, Heidi Anderson, et al.. (2014). Generative Models for Production Forecasting in Unconventional Oil and Gas Plays. 5 indexed citations

7.

Russell, Stuart & Nimar S. Arora. (2012). Model-based bayesian seismic monitoring. 1 indexed citations

8.

Arora, Nimar S., Stuart Russell, & Erik B. Sudderth. (2010). Automatic inference in BLOG. 2–6. 1 indexed citations

9.

Arora, Nimar S., et al.. (2009). Oracle Streams: A High Performance Implementation for Near Real Time Asynchronous Replication. Proceedings - International Conference on Data Engineering. 1363–1374. 7 indexed citations

10.

Arora, Nimar S., Robert D. Blumofe, & C. Greg Plaxton. (1998). Thread scheduling for multiprogrammed multiprocessors. 119–129. 230 indexed citations

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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