Sharad Vikram

1.6k total citations
8 papers, 105 citations indexed

About

Sharad Vikram is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Mechanical Engineering. According to data from OpenAlex, Sharad Vikram has authored 8 papers receiving a total of 105 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Mechanical Engineering. Recurrent topics in Sharad Vikram's work include Heat Transfer and Optimization (2 papers), Machine Learning in Materials Science (2 papers) and Handwritten Text Recognition Techniques (2 papers). Sharad Vikram is often cited by papers focused on Heat Transfer and Optimization (2 papers), Machine Learning in Materials Science (2 papers) and Handwritten Text Recognition Techniques (2 papers). Sharad Vikram collaborates with scholars based in United States, Switzerland and China. Sharad Vikram's co-authors include Li Lei, Stuart Russell, Lei Li, Zachary C. Lipton, Jianmo Ni, Julian McAuley, William G. Griswold, Michael Hannigan, Tajana Rosing and Ashley Collier-Oxandale and has published in prestigious journals such as Atmospheric measurement techniques, Journal of the American Leather Chemists Association and International Conference on Machine Learning.

In The Last Decade

Sharad Vikram

8 papers receiving 103 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sharad Vikram United States	4	50	36	22	21	19	8	105
Michael Mullins Denmark	8	12 0.2×	15 0.4×	8 0.4×	12 0.6×	7 0.4×	45	175
Robert Kooima United States	9	109 2.2×	86 2.4×	25 1.1×	4 0.2×	51 2.7×	19	261
Julius Schöning Germany	8	20 0.4×	41 1.1×	6 0.3×	18 0.9×	7 0.4×	41	171
Markus Berger Germany	6	9 0.2×	14 0.4×	4 0.2×	22 1.0×	10 0.5×	16	311
David Panzoli France	6	42 0.8×	34 0.9×	3 0.1×	23 1.1×	6 0.3×	16	131
Jean-Yves Antoine France	6	35 0.7×	10 0.3×	3 0.1×	67 3.2×	15 0.8×	37	148
Mohammad Shidujaman Bangladesh	7	9 0.2×	7 0.2×	5 0.2×	9 0.4×	9 0.5×	26	119
Salah Eddine Bekhouche Algeria	8	11 0.2×	112 3.1×	5 0.2×	18 0.9×	12 0.6×	24	175
Yuhua Zhu China	7	8 0.2×	36 1.0×	3 0.1×	14 0.7×	3 0.2×	28	138
Sonja Schneider Germany	9	76 1.5×	30 0.8×	3 0.1×	4 0.2×	28 1.5×	12	198

Countries citing papers authored by Sharad Vikram

Since Specialization

Citations

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

Fields of papers citing papers by Sharad Vikram

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sharad Vikram

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

All Works

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8 of 8 papers shown

1.

Izmailov, Pavel, Sharad Vikram, Matthew D. Hoffman, & Andrew Gordon Wilson. (2021). What Are Bayesian Neural Network Posteriors Really Like. International Conference on Machine Learning. 4629–4640. 3 indexed citations

2.

Vikram, Sharad, Ashley Collier-Oxandale, Sanjoy Dasgupta, et al.. (2019). Evaluating and improving the reliability of gas-phase sensor system calibrations across new locations for ambient measurements and personal exposure monitoring. Atmospheric measurement techniques. 12(8). 4211–4239. 23 indexed citations

3.

Ni, Jianmo, Zachary C. Lipton, Sharad Vikram, & Julian McAuley. (2017). Estimating Reactions and Recommending Products with Generative Models of Reviews. International Joint Conference on Natural Language Processing. 1. 783–791. 16 indexed citations

4.

Vikram, Sharad, et al.. (2014). Solving vein marks defects problem through wet end process. Journal of the American Leather Chemists Association. 109(9). 278–283. 2 indexed citations

5.

Vikram, Sharad, Lei Li, & Stuart Russell. (2013). Writing and sketching in the air, recognizing and controlling on the fly. 1179–1184. 20 indexed citations

6.

Vikram, Sharad & Li Lei. (2013). Handwriting and Gestures in the Air, Recognizing on the Fly. 39 indexed citations

7.

Vikram, Sharad, et al.. (2002). Neural network-based real time thermal design expert system [packaging]. 1. 443–449. 1 indexed citations

8.

Vikram, Sharad, et al.. (1998). Neural Network-Based Distributed Thermal Calculators. 3582. 1023–1029. 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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