Krishnan

1.3k total citations · 1 hit paper
14 papers, 934 citations indexed

About

Krishnan is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Artificial Intelligence. According to data from OpenAlex, Krishnan has authored 14 papers receiving a total of 934 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Information Systems and 2 papers in Artificial Intelligence. Recurrent topics in Krishnan's work include Social Media and Politics (1 paper), Chemical Synthesis and Analysis (1 paper) and Sparse and Compressive Sensing Techniques (1 paper). Krishnan is often cited by papers focused on Social Media and Politics (1 paper), Chemical Synthesis and Analysis (1 paper) and Sparse and Compressive Sensing Techniques (1 paper). Krishnan collaborates with scholars based in United States, Germany and Singapore. Krishnan's co-authors include Awad, Sunil Mithas, Dorin Comaniciu, Xiang Sean Zhou, Hayes, Rao, Prabirkumar Saha, Vaughan, Pai‐Chi Li and Srinivasan and has published in prestigious journals such as MIS Quarterly, IEEE Transactions on Computers and Transportation Research Record Journal of the Transportation Research Board.

In The Last Decade

Krishnan

13 papers receiving 859 citations

Hit Papers

The Personalization Privacy Paradox: An Empirical Evaluat... 2006 2026 2012 2019 2006 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The Personalization Privacy Paradox: An Empirical Evaluation of Information Transparency and the Willingness to be Profiled Online for Personalization1
    2006 801 citations Awad, Krishnan MIS Quarterly profile →

Peers

Krishnan
Caroline Lancelot Miltgen France
Daniel R. Horne United States
Mark Keith United States
Feng‐Kwei Wang United States
Manuel Trenz Germany
Raymond G. Sin United States
Susanne Barth Netherlands
Julia B. Earp United States
Vishal Midha United States
Ben C. F. Choi Singapore
Caroline Lancelot Miltgen France
Krishnan
Citations per year, relative to Krishnan Krishnan (= 1×) peers Caroline Lancelot Miltgen

Countries citing papers authored by Krishnan

Since Specialization
Citations

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

Fields of papers citing papers by Krishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Krishnan

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

All Works

14 of 14 papers shown
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Krishnan, et al.. (2015). Anti-chikungunya activity of luteolin and apigenin rich fraction from Cynodon dactylon. 亚太热带医药杂志：英文版. 352–358. 1 indexed citations
4.
Krishnan. (2010). Integrated Quantum and Classical Key Scheme for Two Servers Password Authentication. Journal of Computer Science. 6(12). 1396–1405. 2 indexed citations
5.
Krishnan, et al.. (2008). Influence of suspension stability on wet grinding for production of mineral nanoparticles. 中国颗粒学报：英文版. 6(2). 120–124. 1 indexed citations
6.
Mithas, Sunil, et al.. (2008). Work Dispersion, Process-Based Learning, and Offshore Software Development Performance1. MIS Quarterly. 32(2). 437–458. 89 indexed citations
7.
Awad & Krishnan. (2006). The Personalization Privacy Paradox: An Empirical Evaluation of Information Transparency and the Willingness to be Profiled Online for Personalization1. MIS Quarterly. 30(1). 13–28. 801 indexed citations breakdown →
8.
Saha, Prabirkumar, et al.. (2004). MODELING AND PREDICTIVE CONTROL OF MIMO NONLINEAR SYSTEMS USING WIENER-LAGUERRE MODELS. Chemical Engineering Communications. 191(8). 1083–1119. 3 indexed citations
9.
Zhou, Xiang Sean, Dorin Comaniciu, & Krishnan. (2003). Conditional feature sensitivity: a unifying view on active recognition and feature selection. 13. 1502–1509 vol.2. 13 indexed citations
10.
Krishnan, et al.. (2002). Discrimination of pathological voices using an adaptive time-frequency approach. IV–IV. 3 indexed citations
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Krishnan, et al.. (1998). HIGHWAY FREIGHT FLOW ASSIGNMENT IN MASSACHUSETTS USING GEOGRAPHIC INFORMATION SYSTEMS. Transportation Research Record Journal of the Transportation Research Board. 9 indexed citations
13.
Li, Pai‐Chi, et al.. (1994). Adaptive ultrasound imaging systems using large, two-dimensional, conformal arrays. 1625–1628 vol.3. 1 indexed citations
14.
Krishnan & Hayes. (1986). An Array Layout Methodology for VLSI Circuits. IEEE Transactions on Computers. C-35(12). 1055–1067. 4 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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