Laxmi Parida

7.5k total citations · 1 hit paper
142 papers, 2.3k citations indexed

About

Laxmi Parida is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Laxmi Parida has authored 142 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Molecular Biology, 37 papers in Genetics and 34 papers in Artificial Intelligence. Recurrent topics in Laxmi Parida's work include Genomics and Phylogenetic Studies (32 papers), Algorithms and Data Compression (26 papers) and Genetic Mapping and Diversity in Plants and Animals (15 papers). Laxmi Parida is often cited by papers focused on Genomics and Phylogenetic Studies (32 papers), Algorithms and Data Compression (26 papers) and Genetic Mapping and Diversity in Plants and Animals (15 papers). Laxmi Parida collaborates with scholars based in United States, Italy and India. Laxmi Parida's co-authors include Takahiko Koyama, Daniel E. Platt, Isidore Rigoutsos, Niina Haiminen, Aris Floratos, Andrew Walenstein, Arun Lakhotia, Dilhan Weeraratne, Jane Snowdon and Alberto Apostolico and has published in prestigious journals such as Blood, Bioinformatics and PLoS ONE.

In The Last Decade

Laxmi Parida

135 papers receiving 2.2k citations

Hit Papers

Variant analysis of SARS-CoV-2 genomes 2020 2026 2022 2024 2020 100 200 300

Peers

Laxmi Parida
Comparison fields: 5 of 168
  • Molecular Biology 979
  • Infectious Diseases 484
  • Artificial Intelligence 422
  • Genetics 275
  • Information Systems 201
Replace Yanjun Li with:
Yanjun Li China
Jeremy Buhler United States
Giri Narasimhan United States
Martin Tompa United States
Péter Horváth Hungary
Ulisses Braga-Neto United States
David W. Gohara United States
Zhendong Zhao China
Slobodan Vučetić United States
Wanhong Xu Canada
Yanjun Li China View profile →
Citations per field, relative to Laxmi Parida
Laxmi Parida · 1×
Citations per year, relative to Laxmi Parida
Laxmi Parida · 1×

Countries citing papers authored by Laxmi Parida

Since Specialization
Citations

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

Fields of papers citing papers by Laxmi Parida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laxmi Parida

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 13
4 0
5 3
6 27
7 45
8 9
9 9
10 8
11
Variant analysis of SARS-CoV-2 genomes breakdown →
362
12 7
13 26
14 5
15 10
16
Combinatorial pattern matching : 21st annual symposium, CPM 2010, New York, NY, USA, June 21 - 23, 2010 : proceedings
2
17
Redescription mining: structure theory and algorithms
29
18 11
19 29
20
Towards constructing physical maps by optical mapping: an effective, simple, combinatorial approach
7

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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