Shikharesh Majumdar

2.2k total citations
151 papers, 1.3k citations indexed

About

Shikharesh Majumdar is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture. According to data from OpenAlex, Shikharesh Majumdar has authored 151 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 123 papers in Computer Networks and Communications, 55 papers in Information Systems and 36 papers in Hardware and Architecture. Recurrent topics in Shikharesh Majumdar's work include Distributed and Parallel Computing Systems (46 papers), Cloud Computing and Resource Management (42 papers) and Distributed systems and fault tolerance (27 papers). Shikharesh Majumdar is often cited by papers focused on Distributed and Parallel Computing Systems (46 papers), Cloud Computing and Resource Management (42 papers) and Distributed systems and fault tolerance (27 papers). Shikharesh Majumdar collaborates with scholars based in Canada, United States and Germany. Shikharesh Majumdar's co-authors include Dorina C. Petriu, Richard B. Bunt, J. E. Neilson, Murray Woodside, Derek L. Eager, Jerome Rolia, Umar Farooq, Diwakar Krishnamurthy, Biswajit Nandy and Peter Ashwood-Smith and has published in prestigious journals such as IEEE Transactions on Software Engineering, IEEE Transactions on Computers and Future Generation Computer Systems.

In The Last Decade

Shikharesh Majumdar

136 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shikharesh Majumdar Canada 16 1.2k 585 340 245 123 151 1.3k
Giuseppe Serazzi Italy 17 866 0.7× 387 0.7× 293 0.9× 166 0.7× 65 0.5× 68 1.0k
S. Masoud Sadjadi United States 15 739 0.6× 772 1.3× 123 0.4× 559 2.3× 111 0.9× 73 1.2k
Gero Mühl Germany 19 1.1k 1.0× 793 1.4× 155 0.5× 431 1.8× 30 0.2× 76 1.5k
Vincenzo Grassi Italy 20 1.1k 0.9× 792 1.4× 67 0.2× 454 1.9× 165 1.3× 65 1.4k
Samuel T. Chanson Hong Kong 19 1.1k 1.0× 280 0.5× 450 1.3× 183 0.7× 120 1.0× 131 1.5k
Martin Naedele Switzerland 12 571 0.5× 262 0.4× 449 1.3× 224 0.9× 36 0.3× 33 1.1k
Tomáš Bureš Czechia 16 445 0.4× 374 0.6× 140 0.4× 543 2.2× 175 1.4× 106 877
Lawrence W. Dowdy United States 13 864 0.7× 330 0.6× 234 0.7× 88 0.4× 36 0.3× 56 1000
Rassul Ayani Sweden 17 812 0.7× 154 0.3× 163 0.5× 105 0.4× 31 0.3× 110 1.2k
Archana Ganapathi United States 17 1.6k 1.3× 1.2k 2.1× 218 0.6× 420 1.7× 149 1.2× 24 1.8k

Countries citing papers authored by Shikharesh Majumdar

Since Specialization
Citations

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

Fields of papers citing papers by Shikharesh Majumdar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shikharesh Majumdar

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

All Works

20 of 20 papers shown
1.
Majumdar, Shikharesh. (2024). Resource Management on Distributed Systems.
2.
Majumdar, Shikharesh, et al.. (2023). On Enhancing the Performance of Inter-Cloud Data Transfers. 11. 1–9.
3.
Singh, Jasmeet, et al.. (2019). A proactive system to allocate virtual machines in clouds using autoregression.. Conference of the Centre for Advanced Studies on Collaborative Research. 336–343. 1 indexed citations
4.
Rajan, Sreeraman, et al.. (2017). A Greedy Data Association Technique for Multiple Object Tracking. 177–184. 3 indexed citations
5.
Adam, Gregory C. & Shikharesh Majumdar. (2016). Energy Aware Resource Management for MapReduce Jobs with Service Level Agreements in Cloud Data Centers. IEEE Conference Proceedings. 2016. 577. 1 indexed citations
6.
Majumdar, Shikharesh, et al.. (2016). MRCP-RM: A Technique for Resource Allocation and Scheduling of MapReduce Jobs with Deadlines. IEEE Transactions on Parallel and Distributed Systems. 28(5). 1375–1389. 27 indexed citations
7.
8.
Nandy, Biswajit, et al.. (2013). Dynamic allocation of sensor nodes in wireless sensor networks hosting multiple applications. International Symposium on Performance Evaluation of Computer and Telecommunication Systems. 51–57. 3 indexed citations
9.
Majumdar, Shikharesh, et al.. (2012). Middleware architecture for sensor-based bridge infrastructure management. Annual Simulation Symposium. 8. 2 indexed citations
10.
Majumdar, Shikharesh. (2011). Resource management on clouds and grids: challenges and answers. 151–152. 4 indexed citations
11.
Majumdar, Shikharesh, et al.. (2010). Matchmaking with limited knowledge of resources on clouds and grids. International Symposium on Performance Evaluation of Computer and Telecommunication Systems. 102–110. 8 indexed citations
12.
Lung, Chung–Horng, et al.. (2008). Efficient multiple-keyword search in DHT-based decentralized systems. International Symposium on Performance Evaluation of Computer and Telecommunication Systems. 406–412. 3 indexed citations
13.
Majumdar, Shikharesh, Vittorio Cortellessa, Sebastián Uchitel, & Daniel Yankelevich. (2007). Proceedings of the 6th international workshop on Software and performance. 5 indexed citations
14.
Glüer, Claus‐Christian, et al.. (2006). Parametrische biomedizinische Bildgebung - was macht die Qualität quantitativer radiologischer Verfahren aus?. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 178(12). 1187–1201. 5 indexed citations
15.
Krishnamurthy, Diwakar, Jerome Rolia, & Shikharesh Majumdar. (2003). SWAT: A Tool for Stress Testing Session-based Web Applications.. Int. CMG Conference. 639–649. 9 indexed citations
16.
Abhari, Abdolreza, Sivarama P. Dandamudi, & Shikharesh Majumdar. (2002). Structural Characterization of Popular Web Documents.. 9. 4 indexed citations
17.
Majumdar, Shikharesh, et al.. (1999). Scheduling of I/O in multiprogrammed parallel systems. Informatica (slovenia). 23(1). 67–76. 9 indexed citations
18.
Woodside, Murray, J. E. Neilson, Dorina C. Petriu, & Shikharesh Majumdar. (1995). The stochastic rendezvous network model for performance of synchronous client-server-like distributed software. IEEE Transactions on Computers. 44(1). 20–34. 188 indexed citations
19.
Majumdar, Shikharesh, C.M. Woodside, & Donald G. Bailey. (1991). Characterization and Measurement of Parallelism in Communications Protocol Software.. Proceedings of the International Conference on Parallel Processing. 270–271.
20.
Bunt, Richard B., et al.. (1984). A measure of program locality and its application. 28–40. 10 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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