Vijay Raghavan

2.1k total citations · 1 hit paper
56 papers, 1.5k citations indexed

About

Vijay Raghavan is a scholar working on Spectroscopy, Organic Chemistry and Artificial Intelligence. According to data from OpenAlex, Vijay Raghavan has authored 56 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Spectroscopy, 15 papers in Organic Chemistry and 15 papers in Artificial Intelligence. Recurrent topics in Vijay Raghavan's work include Molecular spectroscopy and chirality (15 papers), Machine Learning and Algorithms (13 papers) and Analytical Chemistry and Chromatography (12 papers). Vijay Raghavan is often cited by papers focused on Molecular spectroscopy and chirality (15 papers), Machine Learning and Algorithms (13 papers) and Analytical Chemistry and Chromatography (12 papers). Vijay Raghavan collaborates with scholars based in United States, India and Germany. Vijay Raghavan's co-authors include Calvin R. Maurer, Prasad L. Polavarapu, Jeremy Spinrad, Geetha Baskar, Krishnan Pillaipakkamnatt, Lisa Hellerstein, Anand Tripathi, Dawn Wilkins, Xin He and Leopoldo Bertossi and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The Journal of Physical Chemistry B and Langmuir.

In The Last Decade

Vijay Raghavan

54 papers receiving 1.4k citations

Hit Papers

align trajectories

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.

A linear time algorithm for computing exact Euclidean distance transforms of binary images in arbitrary dimensions

2003 645 citations Vijay Raghavan et al. profile →

Peers

Vijay Raghavan

CVPR

AI

SPECT

OC

MB

K.K. Shukla India

Lu Zhang China

Jun Tang China

Yutong Lu China

Francisco B. Pereira Portugal

Juan Wang China

Marc Berndl United States

Sergio Decherchi Italy

Yuqing Wu China

Thomas Johansson Sweden

K.K. Shukla India

Vijay Raghavan

338 ×1.0

CVPR

314 ×1.1

AI

32 ×0.2

SPECT

341 ×1.8

OC

61 ×0.4

MB

Citations per year, relative to Vijay Raghavan Vijay Raghavan (= 1×) peers K.K. Shukla

Countries citing papers authored by Vijay Raghavan

Since Specialization

Citations

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

Fields of papers citing papers by Vijay Raghavan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vijay Raghavan

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

All Works

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20 of 20 papers shown

1.

Raghavan, Vijay, et al.. (2024). Balancing data privacy and sharing in IIoT: Introducing the GFL-LFF aggregation algorithm. Computer Networks. 247. 110401–110401. 2 indexed citations

2.

Raghavan, Vijay, Prabhakar Gulgunje, Kishor Gupta, et al.. (2018). Correlation between inhomogeneity in polyacrylonitrile spinning dopes and carbon fiber tensile strength. Polymer Engineering and Science. 59(3). 478–482. 3 indexed citations

3.

Raghavan, Vijay, Donald F. Stec, Bongkeun Song, et al.. (2018). Absolute Configurations of Naturally Occurring [5]- and [3]-Ladderanoic Acids: Isolation, Chiroptical Spectroscopy, and Crystallography. Journal of Natural Products. 81(12). 2654–2666. 11 indexed citations

4.

Raghavan, Vijay, Sivakumar Vijayaraghavalu, Yue Gao, et al.. (2018). Reaching for the Stars in the Brain: Polymer-Mediated Gene Delivery to Human Astrocytes. Molecular Therapy — Nucleic Acids. 12. 645–657. 12 indexed citations

5.

Raghavan, Vijay, Alessio Cimmino, Arash Moeini, et al.. (2018). Absolute configurations of chiral molecules with multiple stereogenic centers without prior knowledge of the relative configurations: A case study of inuloxin C. Chirality. 30(11). 1206–1214. 31 indexed citations

6.

Covington, Cody, Vijay Raghavan, Jonathan Smuts, Daniel W. Armstrong, & Prasad L. Polavarapu. (2017). Absolute configuration of an axially chiral sulfonate determined from its optical rotatory dispersion, electronic circular dichroism, and vibrational circular dichroism spectra. Chirality. 29(11). 670–676. 7 indexed citations

7.

Raghavan, Vijay & Prasad L. Polavarapu. (2017). Specific optical rotation is a versatile tool for the identification of critical micelle concentration and micellar growth of tartaric acid–based diastereomeric amphiphiles. Chirality. 29(12). 836–846. 8 indexed citations

8.

Raghavan, Vijay, et al.. (2012). High performance controlled reactors from micellar assemblies of aromatic amino acid amphiphiles for nanoparticle synthesis. Journal of Colloid and Interface Science. 381(1). 100–106. 4 indexed citations

9.

Polavarapu, Prasad L., et al.. (2012). Chiroptical Spectroscopy of Natural Products: Avoiding the Aggregation Effects of Chiral Carboxylic Acids. Journal of Natural Products. 75(8). 1441–1450. 23 indexed citations

10.

Raghavan, Vijay, et al.. (2011). Self-organization at the interface and in aqueous solution of a cationic gemini surfactant from the dioctyl ester of cystine. Journal of Colloid and Interface Science. 367(1). 319–326. 9 indexed citations

11.

Raghavan, Vijay, et al.. (2010). Adsorption and emulsification properties of amphiphilic poly(styrene-co-octadecyl maleamic acid salt) with comb-like architecture. Journal of Colloid and Interface Science. 346(1). 143–152. 10 indexed citations

12.

Hellerstein, Lisa & Vijay Raghavan. (2004). Exact learning of DNF formulas using DNF hypotheses. Journal of Computer and System Sciences. 70(4). 435–470. 8 indexed citations

13.

Arenas, Marcelo, Leopoldo Bertossi, Jan Chomicki, et al.. (2003). Scalar aggregation in inconsistent databases. Theoretical Computer Science. 296(3). 405–434. 86 indexed citations

14.

Guijarro, David, et al.. (2001). Monotone term decision lists. Theoretical Computer Science. 259(1-2). 549–575. 3 indexed citations

15.

Pillaipakkamnatt, Krishnan & Vijay Raghavan. (1995). Read-Twice DNF Formulas Are Properly Learnable. Information and Computation. 122(2). 236–267. 6 indexed citations

16.

Raghavan, Vijay. (1994). Bounded degree graph inference from walks. Journal of Computer and System Sciences. 49(1). 108–132. 3 indexed citations

17.

Raghavan, Vijay. (1993). On asymmetric invalidation with partial tests. IEEE Transactions on Computers. 42(6). 764–768.

18.

Raghavan, Vijay & Anand Tripathi. (1991). Improved diagnosability algorithms. IEEE Transactions on Computers. 40(2). 143–153. 15 indexed citations

19.

Raghavan, Vijay & Stephen R. Schach. (1990). Learning switch configurations. Conference on Learning Theory. 38–51. 12 indexed citations

20.

Raghavan, Vijay & Shankar M. Venkatesan. (1987). On bounds for a board covering problem. Information Processing Letters. 25(5). 281–284. 3 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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