Bud Mishra

162 papers receiving 2.8k citations

Peers

Bud Mishra
Comparison fields: 5 of 171
  • Aging 59
  • Computational Theory and Mathematics 411
  • Hardware and Architecture 130
  • Molecular Biology 1.2k
  • Control and Systems Engineering 371
Replace Sungroh Yoon with:
Sungroh Yoon South Korea
Eric Klavins United States
Zeming Lin China
Walter L. Ruzzo United States
Steffen Peter Germany
Christian D. Wunsch United States
Stefano Lonardi United States
Esko Ukkonen Finland
Xiangke Liao China
Natalio Krasnogor United Kingdom
Bud Mishra relative to Sungroh Yoon South Korea Sungroh Yoon's profile →
Citations per field
00.5×1.5×1.9×
Sungroh Yoon · 1×
Citations per year

Countries citing papers authored by Bud Mishra

Since Specialization
Citations

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

Fields of papers citing papers by Bud Mishra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bud Mishra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bud Mishra Line = papers co-authored together Bud Mishra links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20218
2 20215
3 201811
4 201648
5 201621
6 201557
7
Cyber Security via Minority Games with Epistatic Signaling.
20141
8
Inferring causal models of cancer progression with a shrinkage estimator and probability raising
20131
9 20128
10 201262
11
The temporal logic of token causes
20103
12
Multi-objective evolutionary optimization of agent-based models: An application to emergency response planning
200631
13
Comparing gnomes
20021
14 200164
15 199924
16
Optical mapping of microbial genomes
19982
17
Learning to play network games: does rationality yield nash equilibrium?
19982
18 19941
19
The spiderweb algorithm for surface construction from medical volume data: geometric properties of its surfaces
19931
20 19890

About Bud Mishra

Bud Mishra is a scholar working on Software, Computational Theory and Mathematics, Hardware and Architecture, Molecular Biology and Artificial Intelligence, having authored 171 papers that have together received 3.0k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (22 papers), Gene Regulatory Network Analysis (21 papers), Bioinformatics and Genomic Networks (18 papers), Genetics, Bioinformatics, and Biomedical Research (13 papers), Gene expression and cancer classification (12 papers), Formal Methods in Verification (12 papers), Chromosomal and Genetic Variations (11 papers) and Robot Manipulation and Learning (10 papers). The work is most often cited by research in Aging (59 citations), Computational Theory and Mathematics (411 citations), Hardware and Architecture (130 citations), Molecular Biology (1.2k citations) and Control and Systems Engineering (371 citations). Bud Mishra has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Giuseppe Narzisi, Marco Antoniotti, Thomas Anantharaman, David Kirkpatrick, David C. Schwartz, Daniele Ramazzotti, Junping Jing, Francesco Vezzi, Christopher E. Aston and G. Koren. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE, Journal of The Royal Society Interface, Bioinformatics and Genome Research.

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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