D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 51 Citations 11,554 152 World Ranking 2813 National Ranking 1477

Research.com Recognitions

Awards & Achievements

2016 - ACM Distinguished Member

2011 - ACM Senior Member

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Computer network
  • The Internet

Suman Nath mainly focuses on Wireless sensor network, The Internet, Distributed computing, Computer network and Real-time computing. His Wireless sensor network course of study focuses on Key distribution in wireless sensor networks and Multimedia, Focus and SIMPLE. His The Internet research includes themes of Graphical user interface, Decision support system and Directory.

Suman Nath interconnects Network packet, Correctness, Multipath routing, Network topology and Robustness in the investigation of issues within Distributed computing. In the subject of general Computer network, his work in Host is often linked to TRACE, thereby combining diverse domains of study. His Real-time computing research includes elements of Middleware, Scalability, Efficient energy use and Server.

His most cited work include:

  • Energy-aware server provisioning and load dispatching for connection-intensive internet services (605 citations)
  • Synopsis diffusion for robust aggregation in sensor networks (481 citations)
  • IrisNet: an architecture for a worldwide sensor Web (435 citations)

What are the main themes of his work throughout his whole career to date?

The scientist’s investigation covers issues in Distributed computing, World Wide Web, Scalability, Data mining and Computer network. His research in Distributed computing intersects with topics in Network topology and Wireless sensor network. Wireless sensor network and The Internet are frequently intertwined in his study.

The Web page and Mobile apps research Suman Nath does as part of his general World Wide Web study is frequently linked to other disciplines of science, such as Mobile deep linking, therefore creating a link between diverse domains of science. In his research on the topic of Scalability, Service and Cloud computing is strongly related with Key. His research in Data mining tackles topics such as Search engine indexing which are related to areas like Microblogging and Social media.

He most often published in these fields:

  • Distributed computing (17.11%)
  • World Wide Web (13.37%)
  • Scalability (13.37%)

What were the highlights of his more recent work (between 2013-2021)?

  • World Wide Web (13.37%)
  • Scalability (13.37%)
  • Cloud computing (9.09%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in World Wide Web, Scalability, Cloud computing, Data mining and Computer network. Suman Nath combines subjects such as Android and Use case with his study of World Wide Web. His Scalability study also includes fields such as

  • Key that connect with fields like Wireless network, Service and Analytics,
  • Artificial intelligence which intersects with area such as Task analysis and Context awareness.

His Cloud computing study integrates concerns from other disciplines, such as Computer security and Web modeling. His Data mining research is multidisciplinary, relying on both Computational science, Memory management, Social media, Microblogging and Search engine indexing. His work in the fields of Computer network, such as PATH, intersects with other areas such as Stateful firewall.

Between 2013 and 2021, his most popular works were:

  • PUMA: programmable UI-automation for large-scale dynamic analysis of mobile apps (247 citations)
  • Automatic and scalable fault detection for mobile applications (96 citations)
  • DECAF: detecting and characterizing ad fraud in mobile apps (95 citations)

In his most recent research, the most cited papers focused on:

  • Operating system
  • Computer network
  • The Internet

World Wide Web, Computer security, Database, Operating system and Scalability are his primary areas of study. The various areas that Suman Nath examines in his World Wide Web study include Android and Use case. His studies deal with areas such as Mobile security, Bluetooth and Computer network as well as Computer security.

His work deals with themes such as Web application, Search engine and Web modeling, which intersect with Database. His Scalability research integrates issues from Social media, Microblogging, Event, Key and Search engine indexing. His work in Search engine indexing addresses subjects such as Data mining, which are connected to disciplines such as Function, Mobile computing, Machine learning and Artificial intelligence.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Energy-aware server provisioning and load dispatching for connection-intensive internet services

Gong Chen;Wenbo He;Jie Liu;Suman Nath.
networked systems design and implementation (2008)

872 Citations

Synopsis diffusion for robust aggregation in sensor networks

Suman Nath;Phillip B. Gibbons;Srinivasan Seshan;Zachary Anderson.
ACM Transactions on Sensor Networks (2008)

821 Citations

IrisNet: an architecture for a worldwide sensor Web

P.B. Gibbons;B. Karp;Y. Ke;S. Nath.
IEEE Pervasive Computing (2003)

628 Citations

Differentially private aggregation of distributed time-series with transformation and encryption

Vibhor Rastogi;Suman Nath.
international conference on management of data (2010)

531 Citations

SenseWeb: An Infrastructure for Shared Sensing

W.I. Grosky;A. Kansal;S. Nath;Jie Liu.
IEEE MultiMedia (2007)

482 Citations

PUMA: programmable UI-automation for large-scale dynamic analysis of mobile apps

Shuai Hao;Bin Liu;Suman Nath;William G.J. Halfond.
international conference on mobile systems, applications, and services (2014)

333 Citations

Tributaries and deltas: efficient and robust aggregation in sensor network streams

Amit Manjhi;Suman Nath;Phillip B. Gibbons.
international conference on management of data (2005)

323 Citations

Associating geographic-related information with objects

Suman K. Nath.
(2006)

305 Citations

FlashDB: dynamic self-tuning database for NAND flash

Suman Nath;Aman Kansal.
information processing in sensor networks (2007)

299 Citations

ACE: exploiting correlation for energy-efficient and continuous context sensing

S. Nath.
international conference on mobile systems, applications, and services (2012)

273 Citations

Best Scientists Citing Suman Nath

Lei Shu

Lei Shu

Nanjing Agricultural University

Publications: 42

Tarek Abdelzaher

Tarek Abdelzaher

University of Illinois at Urbana-Champaign

Publications: 31

Karl Aberer

Karl Aberer

École Polytechnique Fédérale de Lausanne

Publications: 26

Yunhao Liu

Yunhao Liu

Tsinghua University

Publications: 23

Anand Sivasubramaniam

Anand Sivasubramaniam

Pennsylvania State University

Publications: 21

Phillip B. Gibbons

Phillip B. Gibbons

Carnegie Mellon University

Publications: 21

Jianzhong Li

Jianzhong Li

Harbin Institute of Technology

Publications: 21

Jianliang Xu

Jianliang Xu

Hong Kong Baptist University

Publications: 21

Jie Liu

Jie Liu

Harbin Institute of Technology

Publications: 21

Aman Kansal

Aman Kansal

Microsoft (United States)

Publications: 20

Li Xiong

Li Xiong

Emory University

Publications: 20

Graham Cormode

Graham Cormode

University of Warwick

Publications: 18

Mohamed F. Mokbel

Mohamed F. Mokbel

University of Minnesota

Publications: 18

Sajal K. Das

Sajal K. Das

Missouri University of Science and Technology

Publications: 18

Xue Liu

Xue Liu

McGill University

Publications: 17

Mani Srivastava

Mani Srivastava

University of California, Los Angeles

Publications: 16

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

If you think any of the details on this page are incorrect, let us know.

Contact us
Something went wrong. Please try again later.