Abhirup Mallik

7 papers receiving 360 citations

Hit Papers

Statistical Rethinking: A Bayesian Course with Examples i...2021202620222024202150100150200

Peers

Abhirup Mallik
Comparison fields: 5 of 135
  • Plant Science 72
  • Cell Biology 46
  • Computer Vision and Pattern Recognition 40
  • Artificial Intelligence 40
  • Experimental and Cognitive Psychology 34
Replace Dulce G. Pereira with:
Dulce G. Pereira Portugal
Jurriaan van Diggelen Netherlands
Stephen G. Whittaker United States
Lynne B. Hare United States
Luca Frigau Italy
Fátima Medeiros Portugal
Caihong Jiang China
Luis Gómez‐Robledo Spain
John H. Skillings United States
Jeff Jones United Kingdom
Abhirup Mallik relative to Dulce G. Pereira Portugal Dulce G. Pereira's profile →
Citations per field
00.5×9.2×
Dulce G. Pereira · 1×
Citations per year

Countries citing papers authored by Abhirup Mallik

Since Specialization
Citations

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

Fields of papers citing papers by Abhirup Mallik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhirup Mallik

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 1
2 2
3 22
4
Statistical Rethinking: A Bayesian Course with Examples in R and Stanbreakdown →
214
5 0
6 0
7 0
8 66
9 33
10 32

About Abhirup Mallik

Abhirup Mallik is a scholar working on Building and Construction, Computer Vision and Pattern Recognition and Analytical Chemistry, having authored 10 papers that have together received 370 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (2 papers), Wood Treatment and Properties (2 papers) and Wood and Agarwood Research (2 papers). The work is most often cited by research in Cell Biology (46 citations), General Decision Sciences (5 citations) and Experimental and Cognitive Psychology (34 citations). Abhirup Mallik has collaborated with scholars based in India, United States and Spain. Frequent co-authors include Mario Francisco‐Fernández, Salvador Naya, Javier Tarrío‐Saavedra, Dean K. Malvick, James E. Kurle, Lorien Radmer, Aaron Rendahl, Burhaneddin Yaman, Senem Velipasalar and Alessandro Allievi. Their work appears in journals such as Technometrics, Chemometrics and Intelligent Laboratory Systems and Plant Disease.

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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