Sanjay Padhi

1.0k total citations
15 papers, 399 citations indexed

About

Sanjay Padhi is a scholar working on Computer Networks and Communications, Information Systems and Information Systems and Management. According to data from OpenAlex, Sanjay Padhi has authored 15 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 5 papers in Information Systems and 5 papers in Information Systems and Management. Recurrent topics in Sanjay Padhi's work include Distributed and Parallel Computing Systems (6 papers), Advanced Data Storage Technologies (5 papers) and Scientific Computing and Data Management (5 papers). Sanjay Padhi is often cited by papers focused on Distributed and Parallel Computing Systems (6 papers), Advanced Data Storage Technologies (5 papers) and Scientific Computing and Data Management (5 papers). Sanjay Padhi collaborates with scholars based in United States, Switzerland and Italy. Sanjay Padhi's co-authors include D Bradley, I. Sfiligoi, Frank Würthwein, Parag Mhashilkar, B. Holzman, X. Portell, Michael Krämer, Anna Kulesza, Christoph Borschensky and Michelangelo L. Mangano and has published in prestigious journals such as IEEE Internet of Things Journal, The European Physical Journal C and Journal of Physics Conference Series.

In The Last Decade

Sanjay Padhi

13 papers receiving 383 citations

Peers

Countries citing papers authored by Sanjay Padhi

Since Specialization

Citations

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

Fields of papers citing papers by Sanjay Padhi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanjay Padhi

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

All Works

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15 of 15 papers shown

#	Work	Indexed citations
1	Application of Quantum Machine Learning to HEP Analysis at LHC Using Quantum Computer Simulators and Quantum Computer Hardware 2022 ·OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) ·S. L. Wu, J. Chan, (unknown), W. Guan, S. Sun, (unknown), R. Zhang, C. Zhou, Miron Livny, Alberto Di Meglio, Andy C. Y. Li, Joseph Lykken, Panagiotis Spentzouris, Samuel Yen-Chi Chen, Shinjae Yoo, Tzu-Chieh Wei, Pavel Lougovski, Sanjay Padhi, Simone Severini, (unknown)	2
2	Reinforcement-Learning-Empowered MLaaS Scheduling for Serving Intelligent Internet of Things 2020 ·IEEE Internet of Things Journal ·(unknown), Syed Zawad, Yanqi Zhou, Sanjay Padhi, Lei Yang, Feng Yan	12
3	Addressing the Challenges of Executing a Massive Computational Cluster in the Cloud 2018 ·(unknown), (unknown), (unknown), (unknown), Sanjay Padhi, Alexander Herzog, Amy Apon	4
4	Scheduling Issues and Analysis under Distributed Computing Environment 2018 ·(unknown), Sanjay Padhi, Prasant Kumar Pattnaik	1
5	Squark and gluino production cross sections in $$pp$$ p p collisions at $$\sqrt{s} = 13, 14, 33$$ s = 13 , 14 , 33 and $$100$$ 100 TeV 2014 ·The European Physical Journal C ·Christoph Borschensky, Michael Krämer, Anna Kulesza, Michelangelo L. Mangano, Sanjay Padhi, Tilman Plehn, X. Portell	81
6	A Review Of Trends In Research On Web Mining 2011 ·(unknown), Subhendu Kumar Pani, Sanjay Padhi, (unknown), (unknown)	6
7	Web Usage Mining: A Survey on Pattern Extraction from Web Logs 2011 ·Subhendu Kumar Pani, (unknown), (unknown), Atsuyoshi Manda, Sanjay Padhi, (unknown)	25
8	An Efficient Algorithm for Mining Of frequent items using incremental model 2011 ·(unknown), (unknown), Sanjay Padhi	0
9	The CREAM-CE: First experiences, results and requirements of the four LHC experiments 2010 ·Journal of Physics Conference Series ·Patricia M. Di Lorenzo, (unknown), A. Sciabà, N.J. Thackray, Jamie Shiers, (unknown), M. Sgaravatto, Sanjay Padhi	0
10	Scalability and interoperability within glideinWMS 2010 ·Journal of Physics Conference Series ·D Bradley, I. Sfiligoi, Sanjay Padhi, Jeremy G. Frey, Todd Tannenbaum	7
11	A Grid job monitoring system 2010 ·Journal of Physics Conference Series ·Cătălin Dumitrescu, A. Nowack, Sanjay Padhi, S. Sarkar	1
12	The Pilot Way to Grid Resources Using glideinWMS 2009 ·CERN Bulletin ·I. Sfiligoi, D Bradley, B. Holzman, Parag Mhashilkar, Sanjay Padhi, Frank Würthwein	254
13	The commissioning of CMS computing centres in the worldwide LHC computing Grid 2008 ·S. Belforte, A. Fanfani, I. Fisk, J. Flix, J. M. Hernández, J. Klem, (unknown), N. Magini, V. Miccio, Sanjay Padhi, P Saiz, A. Sciabà, Frank Würthwein	4
14	Large-Scale ATLAS Simulated Production on EGEE 2007 ·Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano) ·(unknown), D. Barberis, K. Bos, S. Campana, L. Goossens, J. Kennedy, G. Negri, Sanjay Padhi, L. Perini, G. Poulard, (unknown), S. Resconi, (unknown), A. De Salvo	1
15	OPEN CHARM AND BEAUTY PRODUCTION 2004 ·Sanjay Padhi	1

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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