Shashwat Shivam

446 total citations
9 papers, 216 citations indexed

About

Shashwat Shivam is a scholar working on Infectious Diseases, Control and Systems Engineering and Modeling and Simulation. According to data from OpenAlex, Shashwat Shivam has authored 9 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 4 papers in Control and Systems Engineering and 4 papers in Modeling and Simulation. Recurrent topics in Shashwat Shivam's work include COVID-19 epidemiological studies (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Photovoltaic System Optimization Techniques (3 papers). Shashwat Shivam is often cited by papers focused on COVID-19 epidemiological studies (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Photovoltaic System Optimization Techniques (3 papers). Shashwat Shivam collaborates with scholars based in United States, India and France. Shashwat Shivam's co-authors include Joshua S. Weitz, Guanlin Li, Rogelio A. Rodriguez-Gonzalez, Chung Yin Leung, Conan Zhao, Ashley R. Coenen, Stephen J. Beckett, Jonathan Dushoff, Sang Woo Park and David Demory and has published in prestigious journals such as Nature Medicine, Vaccine and International Journal of Robust and Nonlinear Control.

In The Last Decade

Shashwat Shivam

9 papers receiving 211 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shashwat Shivam United States	5	117	86	34	25	22	9	216
P Jentsch Canada	6	170 1.5×	107 1.2×	39 1.1×	53 2.1×	35 1.6×	10	262
P.H.T. Schimit Brazil	11	125 1.1×	39 0.5×	19 0.6×	120 4.8×	18 0.8×	31	309
Davide Salzano Italy	8	115 1.0×	38 0.4×	29 0.9×	19 0.8×	34 1.5×	16	240
Duncan Kioi Gathungu Kenya	8	190 1.6×	95 1.1×	39 1.1×	91 3.6×	44 2.0×	18	264
Konstantin S. Sharov Russia	9	54 0.5×	102 1.2×	19 0.6×	20 0.8×	34 1.5×	33	242
Yuri Furusawa Japan	9	95 0.8×	179 2.1×	29 0.9×	12 0.5×	46 2.1×	20	458
Raúl Nistal Spain	10	195 1.7×	60 0.7×	20 0.6×	157 6.3×	24 1.1×	40	343
Zirui Guo China	5	102 0.9×	163 1.9×	24 0.7×	28 1.1×	53 2.4×	10	256
Yik-Ying Teo Singapore	7	30 0.3×	160 1.9×	20 0.6×	26 1.0×	31 1.4×	12	357
Manja Czech‐Sioli Germany	9	96 0.8×	90 1.0×	32 0.9×	7 0.3×	44 2.0×	15	406

Countries citing papers authored by Shashwat Shivam

Since Specialization

Citations

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

Fields of papers citing papers by Shashwat Shivam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shashwat Shivam

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Wardi, Y., et al.. (2023). Tracking control by the Newton–Raphson method with output prediction and controller speedup. International Journal of Robust and Nonlinear Control. 34(1). 397–422. 2 indexed citations

2.

Shivam, Shashwat, Guanlin Li, Adriana Lucía-Sanz, & Joshua S. Weitz. (2022). Timescales modulate optimal lysis–lysogeny decision switches and near-term phage reproduction. Virus Evolution. 8(1). veac037–veac037. 9 indexed citations

3.

Li, Guanlin, Shashwat Shivam, Michael Hochberg, Y. Wardi, & Joshua S. Weitz. (2021). Disease-dependent interaction policies to support health and economic outcomes during the COVID-19 epidemic. iScience. 24(7). 102710–102710. 38 indexed citations

4.

Shivam, Shashwat, et al.. (2021). Geo-prioritization framework for COVID-19 vaccine allocation in India. Vaccine. 39(37). 5254–5256. 1 indexed citations

5.

Weitz, Joshua S., Stephen J. Beckett, Ashley R. Coenen, et al.. (2020). Modeling shield immunity to reduce COVID-19 epidemic spread. Nature Medicine. 26(6). 849–854. 143 indexed citations

6.

Weitz, Joshua S., Stephen J. Beckett, Ashley R. Coenen, et al.. (2020). Code for: Intervention Serology and Interaction Substitution: Modeling the Role of 'Shield Immunity' in Reducing COVID-19 Epidemic Spread. PubMed. 10 indexed citations

7.

Shivam, Shashwat, et al.. (2016). Sign-error based adaptive control technique for single stage grid tied SPV system. 1–6. 1 indexed citations

8.

Shivam, Shashwat, Ikhlaq Hussain, & Bhim Singh. (2016). Dual-sign error based adaptive control for three phase grid tied SECS with DSTATCOM capabilities. 1–6. 1 indexed citations

9.

Shivam, Shashwat, Ikhlaq Hussain, & Bhim Singh. (2016). Real‐time implementation of SPV system with DSTATCOM capabilities in three‐phase four‐wire distribution system. IET Generation Transmission & Distribution. 11(2). 495–503. 11 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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