Mahesh Rajan

629 total citations
30 papers, 442 citations indexed

About

Mahesh Rajan is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Mahesh Rajan has authored 30 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 8 papers in Hardware and Architecture and 4 papers in Information Systems. Recurrent topics in Mahesh Rajan's work include Distributed and Parallel Computing Systems (8 papers), Advanced Data Storage Technologies (8 papers) and Parallel Computing and Optimization Techniques (7 papers). Mahesh Rajan is often cited by papers focused on Distributed and Parallel Computing Systems (8 papers), Advanced Data Storage Technologies (8 papers) and Parallel Computing and Optimization Techniques (7 papers). Mahesh Rajan collaborates with scholars based in United States, Australia and Switzerland. Mahesh Rajan's co-authors include Kenneth C. Gehrt, John L. Graham, G. Shainesh, Matthew O’Brien, Jeffrey A. Ogden, Naoto Onzo, Douglas W. Doerfler, Benjamin A. Allan, Jim Brandt and Ann Gentile and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of International Business Studies and California Management Review.

In The Last Decade

Mahesh Rajan

27 papers receiving 406 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mahesh Rajan United States 11 193 107 106 104 100 30 442
Alan Charlesworth United States 10 145 0.8× 108 1.0× 72 0.7× 44 0.4× 128 1.3× 19 349
Alisha D. Malloy United States 8 155 0.8× 39 0.4× 12 0.1× 48 0.5× 12 0.1× 16 331
Madhu Prabaker United States 7 118 0.6× 247 2.3× 36 0.3× 62 0.6× 7 0.1× 9 566
Benedikt Lebek Germany 8 112 0.6× 135 1.3× 36 0.3× 55 0.5× 2 0.0× 11 457
Behrang Samadi Malaysia 8 62 0.3× 105 1.0× 45 0.4× 82 0.8× 2 0.0× 15 283
Kehbuma Langmia United States 7 60 0.3× 77 0.7× 12 0.1× 159 1.5× 5 0.1× 22 392
Jan Zibuschka Germany 9 19 0.1× 69 0.6× 30 0.3× 26 0.3× 13 0.1× 30 179
Nurazean Maarop Malaysia 8 20 0.1× 56 0.5× 23 0.2× 94 0.9× 6 0.1× 70 274
Fred L. Kitchens United States 7 28 0.1× 63 0.6× 10 0.1× 57 0.5× 8 0.1× 23 280

Countries citing papers authored by Mahesh Rajan

Since Specialization
Citations

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

Fields of papers citing papers by Mahesh Rajan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahesh Rajan

This figure shows the co-authorship network connecting the top 25 collaborators of Mahesh Rajan. A scholar is included among the top collaborators of Mahesh Rajan 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 Mahesh Rajan. Mahesh Rajan 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.
Mehta, Ruchi, et al.. (2017). Creating Online Learning Spaces for Emerging Markets: An Investigation of the Link between Course Design and Student Engagement. 29(1). 116. 10 indexed citations
2.
Rajan, Mahesh, Robert J. Hoekstra, Daryl Grunau, et al.. (2017). Trinity: Architecture and Early Experience.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 4 indexed citations
3.
Rajan, Mahesh, Douglas W. Doerfler, Michael Tupek, & S.D. Hammond. (2015). An investigation of compiler vectorization on current and next-generation Intel processors using benchmarks and Sandia?s Sierra applications.. eScholarship (California Digital Library). 4 indexed citations
4.
Allan, Benjamin A., Jim Brandt, Ann Gentile, et al.. (2015). Toward Rapid Understanding of Production HPC Applications and Systems. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 464–473. 14 indexed citations
5.
Allan, Benjamin A., Jim Brandt, Jeremy Enos, et al.. (2014). The Lightweight Distributed Metric Service: A Scalable Infrastructure for Continuous Monitoring of Large Scale Computing Systems and Applications. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 154–165. 124 indexed citations
6.
Rajan, Mahesh, Courtenay Vaughan, Douglas W. Doerfler, et al.. (2012). Application‐driven analysis of two generations of capability computing: the transition to multicore processors. Concurrency and Computation Practice and Experience. 24(18). 2404–2420. 4 indexed citations
7.
Barrett, Richard Frederick, Courtenay Vaughan, Mahesh Rajan, Douglas W. Doerfler, & Kevin Pedretti. (2011). From Red Storm to Cielo: Performance Analysis of ASC Simulation Programs Across an Evolution of Multicore Architectures.. Parallel Processing Letters. 1 indexed citations
8.
Doerfler, Douglas W., Mahesh Rajan, Courtenay Vaughan, et al.. (2011). A Comparison of the Performance Characteristics of Capability and Capacity Class HPC Systems.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 indexed citations
9.
Rajan, Mahesh, Douglas W. Doerfler, Theodore E. Simos, George Psihoyios, & Ch. Tsitouras. (2010). HPC Application Performance and Scaling: Understanding Trends and Future Challenges with Application Benchmarks on past, Present and Future Tri-Lab Computing Systems. AIP conference proceedings. 1777–1780. 2 indexed citations
10.
Rajan, Mahesh, et al.. (2010). Application Performance on the Tri-Lab Linux Capacity Cluster - TLCC. International Journal of Distributed Systems and Technologies. 1(2). 23–39. 7 indexed citations
11.
Rajan, Mahesh, et al.. (2008). Management Teaching and Learning: A Cross-Cultural Perspective. SHILAP Revista de lepidopterología.
12.
Gehrt, Kenneth C., Naoto Onzo, Katsuhide Fujita, & Mahesh Rajan. (2007). Internet Shopping in Japan: Identification of Shopping Orientation Segments. The Journal of Marketing Theory and Practice. 15(2). 1 indexed citations
13.
Louie, Therese A., et al.. (2007). Tackling the Monday-Morning Quarterback: Applications of Hindsight Bias in Decision-Making Settings. Social Cognition. 25(1). 32–47. 14 indexed citations
14.
Gehrt, Kenneth C. & Mahesh Rajan. (2007). A Consumer Logistics Framework for Understanding Preferences for High-Speed Rail Transportation, MTI Report 05-04. San José State University ScholarWorks (San Jose State University). 2 indexed citations
15.
16.
Bunn, Julian, et al.. (2001). Detailed Simulation of the Cochlea: Recent Progress Using Large Shared Memory Parallel Computers. Fluids Engineering. 329–333. 7 indexed citations
17.
Rajan, Mahesh, et al.. (1999). Digital test program portability to VXI-based testing environments. 289–292. 1 indexed citations
18.
Rajan, Mahesh. (1994). Australian Business in the Asia Pacific Region: The Case for Strategic Industry Policy. Australian Journal of Management. 19(2). 229–238. 2 indexed citations
19.
Graham, John L., et al.. (1992). An Empirical Comparison of Soviet and American Business Negotiations. Journal of International Business Studies. 23(3). 387–418. 51 indexed citations
20.
Rajan, Mahesh & John L. Graham. (1991). Nobody's Grandfather Was a Merchant: Understanding the Soviet Commercial Negotiation Process and Style. California Management Review. 33(3). 40–57. 16 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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