Dipanjan Sarkar

507 total citations
7 papers, 198 citations indexed

About

Dipanjan Sarkar is a scholar working on Computer Networks and Communications, Molecular Biology and Information Systems. According to data from OpenAlex, Dipanjan Sarkar has authored 7 papers receiving a total of 198 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Computer Networks and Communications, 1 paper in Molecular Biology and 1 paper in Information Systems. Recurrent topics in Dipanjan Sarkar's work include RNA and protein synthesis mechanisms (1 paper), Computational Drug Discovery Methods (1 paper) and Network Security and Intrusion Detection (1 paper). Dipanjan Sarkar is often cited by papers focused on RNA and protein synthesis mechanisms (1 paper), Computational Drug Discovery Methods (1 paper) and Network Security and Intrusion Detection (1 paper). Dipanjan Sarkar collaborates with scholars based in India. Dipanjan Sarkar's co-authors include Tushar Sharma and Ashok V. Desai and has published in prestigious journals such as CERN Document Server (European Organization for Nuclear Research) and Apress eBooks.

In The Last Decade

Dipanjan Sarkar

7 papers receiving 183 citations

Peers

Dipanjan Sarkar
Comparison fields: 5 of 100
  • Artificial Intelligence 76
  • Information Systems 41
  • Sociology and Political Science 23
  • Computer Vision and Pattern Recognition 14
  • Computer Networks and Communications 11
Replace K. R. Chowdhary with:
K. R. Chowdhary India
Nardine Osman Spain
Bala Deshpande United States
Shugang Li China
Amandalynne Paullada United States
Hongye Jin United States
Siti Aisyah Indonesia
Staphord Bengesi United States
Naila Aslam Pakistan
José Bobes-Bascarán Spain
K. R. Chowdhary India View profile →
Citations per field, relative to Dipanjan Sarkar
Dipanjan Sarkar · 1×
Citations per year, relative to Dipanjan Sarkar
Dipanjan Sarkar · 1×

Countries citing papers authored by Dipanjan Sarkar

Since Specialization
Citations

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

Fields of papers citing papers by Dipanjan Sarkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dipanjan Sarkar

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

All Works

7 of 7 papers shown
# Work Indexed citations
1 30
2 42
3 82
4 5
5
R Machine Learning By Example
5
6 33
7
QSAR STUDIES OF FabH INHIBITORS USING GRAPH THEORETICAL & QUANTUM CHEMICAL DESCRIPTORS
1

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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