Sriram Krishnan

2.5k total citations
59 papers, 1.6k citations indexed

About

Sriram Krishnan is a scholar working on Computer Networks and Communications, Information Systems and Management and Information Systems. According to data from OpenAlex, Sriram Krishnan has authored 59 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Networks and Communications, 21 papers in Information Systems and Management and 11 papers in Information Systems. Recurrent topics in Sriram Krishnan's work include Distributed and Parallel Computing Systems (26 papers), Scientific Computing and Data Management (21 papers) and Parallel Computing and Optimization Techniques (7 papers). Sriram Krishnan is often cited by papers focused on Distributed and Parallel Computing Systems (26 papers), Scientific Computing and Data Management (21 papers) and Parallel Computing and Optimization Techniques (7 papers). Sriram Krishnan collaborates with scholars based in United States, South Africa and Netherlands. Sriram Krishnan's co-authors include Dennis Gannon, Tania S. Douglas, R. Bharat Rao, Patrick Wagstrom, Gregor von Laszewski, Ronald Dendere, Wilfred W. Li, Robert M. Hanson, Malcolm Tobias and Radu Stefan Niculescu and has published in prestigious journals such as Nucleic Acids Research, Proceedings of the IEEE and Physical Chemistry Chemical Physics.

In The Last Decade

Sriram Krishnan

57 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sriram Krishnan United States 22 498 314 310 231 212 59 1.6k
Joel Saltz United States 19 593 1.2× 204 0.6× 279 0.9× 241 1.0× 299 1.4× 77 1.2k
Yutong Lu China 31 537 1.1× 972 3.1× 24 0.1× 444 1.9× 470 2.2× 227 3.5k
Michela Taufer United States 22 896 1.8× 308 1.0× 425 1.4× 672 2.9× 198 0.9× 176 1.8k
I. García Spain 20 199 0.4× 135 0.4× 17 0.1× 28 0.1× 267 1.3× 121 1.6k
Werner Dubitzky United Kingdom 21 138 0.3× 443 1.4× 65 0.2× 124 0.5× 324 1.5× 91 1.3k
Fa Zhang China 26 503 1.0× 718 2.3× 9 0.0× 439 1.9× 504 2.4× 219 2.4k
Ola Spjuth Sweden 31 129 0.3× 1.5k 4.6× 230 0.7× 137 0.6× 300 1.4× 125 2.9k
Mehmet Koyutürk United States 30 125 0.3× 1.7k 5.4× 24 0.1× 155 0.7× 307 1.4× 122 2.7k
Bernd Wiswedel Germany 10 94 0.2× 441 1.4× 131 0.4× 139 0.6× 203 1.0× 17 1.1k
Junhua Ding United States 15 145 0.3× 24 0.1× 30 0.1× 218 0.9× 368 1.7× 83 776

Countries citing papers authored by Sriram Krishnan

Since Specialization
Citations

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

Fields of papers citing papers by Sriram Krishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sriram Krishnan

This figure shows the co-authorship network connecting the top 25 collaborators of Sriram Krishnan. A scholar is included among the top collaborators of Sriram Krishnan 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 Sriram Krishnan. Sriram Krishnan 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.
Krishnan, Sriram, et al.. (2023). Blockchain-based Privacy-Preserving System for Internet of Things (IoT). 40. 309–315. 1 indexed citations
2.
Krishnan, Sriram, et al.. (2023). Traffic Sign Recognition Using Convolutional Neural Network. 1–5.
3.
Krishnan, Sriram, et al.. (2023). DepNeCTI: Dependency-based Nested Compound Type Identification for Sanskrit. 13679–13692. 2 indexed citations
4.
Hamada, Yohhei, Adam Penn‐Nicholson, Sriram Krishnan, et al.. (2022). Are mRNA based transcriptomic signatures ready for diagnosing tuberculosis in the clinic? - A review of evidence and the technological landscape. EBioMedicine. 82. 104174–104174. 21 indexed citations
5.
Krishnan, Sriram, et al.. (2022). A Holistic Approach based computing Authentication System. 6. 1–4.
6.
Alula, Melisew Tadele, et al.. (2016). Identification and quantitation of pathogenic bacteria via in-situ formation of silver nanoparticles on cell walls, and their detection via SERS. Microchimica Acta. 184(1). 219–227. 37 indexed citations
7.
Nel, Andrew J. M., et al.. (2015). Development of an electrochemical surface-enhanced Raman spectroscopy (EC-SERS) aptasensor for direct detection of DNA hybridization. Physical Chemistry Chemical Physics. 17(33). 21356–21363. 53 indexed citations
8.
Crosby, C. J., et al.. (2013). Points2Grid: An Efficient Local Gridding Method for DEM Generation from Lidar Point Cloud Data. Geosphere. 3 indexed citations
9.
Ren, Jie, et al.. (2010). Opal web services for biomedical applications. Nucleic Acids Research. 38(Web Server). W724–W731. 35 indexed citations
10.
Osibote, Otolorin Adelaja, Ronald Dendere, Sriram Krishnan, & Tania S. Douglas. (2010). Automated focusing in bright‐field microscopy for tuberculosis detection. Journal of Microscopy. 240(2). 155–163. 65 indexed citations
11.
Khutlang, Rethabile, Sriram Krishnan, Ronald Dendere, et al.. (2009). Classification of Mycobacterium tuberculosis in Images of ZN-Stained Sputum Smears. IEEE Transactions on Information Technology in Biomedicine. 14(4). 949–957. 96 indexed citations
12.
Khutlang, Rethabile, Sriram Krishnan, Andrew Whitelaw, & Tania S. Douglas. (2009). Detection of tuberculosis in sputum smear images using two one-class classifiers. 1007–1010. 15 indexed citations
13.
Krishnan, Sriram, et al.. (2008). Performance of PVD and surcharging in reclamation works for a Power Plant in Negeri Sembilan, Malaysia. 39(2). 63–75. 1 indexed citations
14.
Krishnan, Sriram & Karan Bhatia. (2008). SOAs for scientific applications: Experiences and challenges. Future Generation Computer Systems. 25(4). 466–473. 10 indexed citations
15.
Fung, Glenn, Sriram Krishnan, Rómer Rosales, et al.. (2007). Automated heart wall motion abnormality detection from ultrasound images using Bayesian networks. International Joint Conference on Artificial Intelligence. 519–525. 33 indexed citations
16.
Seigneuric, Renaud, Maud H. W. Starmans, Glenn Fung, et al.. (2007). Impact of supervised gene signatures of early hypoxia on patient survival. Radiotherapy and Oncology. 83(3). 374–382. 48 indexed citations
17.
Fung, Glenn, et al.. (2006). Sparse classifiers for Automated HeartWall Motion Abnormality Detection. 194–200. 5 indexed citations
18.
Krishnan, Sriram, et al.. (2005). An end-to-end Web services-based infrastructure for biomedical applications. 8 pp.–8 pp.. 17 indexed citations
19.
Gannon, Dennis, Randall Bramley, Geoffrey Fox, et al.. (2002). Programming the Grid: Distributed Software Components, P2P and Grid Web Services for Scientific Applications. Cluster Computing. 5(3). 325–336. 53 indexed citations
20.
Krishnan, Sriram, et al.. (1995). Two-step aberration correction. 1 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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