Sourav Mondal
Impact in
- Geometry and Topology top 0.5%
- Graph theory and applications
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Graph Labeling and Dimension Problems
- Topological and Geometric Data Analysis
Papers in
-
- Computational Drug Discovery Methods 42
- Graph Labeling and Dimension Problems 11
- Topological and Geometric Data Analysis 4
- Advanced Graph Theory Research 4
-
- Graph theory and applications 48
- Co-authors
- Anita Pal (28 shared papers)Nilanjan De (21 shared papers)Kinkar Chandra Das (17 shared papers)Arindam Dey (1 shared paper)Zahid Raza (3 shared papers)Muhammad Imran (2 shared papers)Selvaraj Balachandran (3 shared papers)Anita Pal (2 shared papers)
- Journals
- Current Organic Synthesis (3 papers)Symmetry (2 papers)Chemometrics and Intelligent Laboratory Systems (2 papers)match Communications in Mathematical and in Computer Chemistry (2 papers)International Journal of Quantum Chemistry (2 papers)
- Partner nations
- IndiaSouth KoreaUnited Arab Emirates
In The Last Decade
Sourav Mondal
52 papers receiving 860 citations
Peers
Comparison fields: 5 of 49
- Geometry and Topology 744
- Computational Theory and Mathematics 765
- Organic Chemistry 435
- Drug Discovery 1
- Physical and Theoretical Chemistry 34
Countries citing papers authored by Sourav Mondal
This map shows the geographic impact of Sourav Mondal'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 Sourav Mondal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sourav Mondal more than expected).
Fields of papers citing papers by Sourav Mondal
This network shows the impact of papers produced by Sourav Mondal. 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 Sourav Mondal. The network helps show where Sourav Mondal may publish in the future.
Co-authors
The 15 scholars most cited alongside Sourav Mondal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 138 | |
| 2 | 2020 | 98 | |
| 3 | 2020 | 61 | |
| 4 | 2019 | 58 | |
| 5 | 2019 | 49 | |
| 6 | 2020 | 30 | |
| 7 | 2021 | 28 | |
| 8 | 2021 | 27 | |
| 9 | 2022 | 26 | |
| 10 | 2022 | 24 | |
| 11 | 2019 | 21 | |
| 12 | 2023 | 19 | |
| 13 | 2020 | 19 | |
| 14 | 2023 | 18 | |
| 15 | 2023 | 18 | |
| 16 | 2020 | 15 | |
| 17 | 2020 | 14 | |
| 18 | 2022 | 13 | |
| 19 | 2019 | 13 | |
| 20 | 2023 | 12 |
About Sourav Mondal
Sourav Mondal is a scholar working on Computational Theory and Mathematics, Geometry and Topology, Organic Chemistry, Pharmacology and Molecular Biology, having authored 60 papers that have together received 877 indexed citations. Recurring topics across this work include Graph theory and applications (48 papers), Computational Drug Discovery Methods (42 papers), Free Radicals and Antioxidants (16 papers), Graph Labeling and Dimension Problems (11 papers), Synthesis and Properties of Aromatic Compounds (11 papers), Topological and Geometric Data Analysis (4 papers), Advanced Graph Theory Research (4 papers) and Cholinesterase and Neurodegenerative Diseases (3 papers). The work is most often cited by research in Geometry and Topology (744 citations), Computational Theory and Mathematics (765 citations), Organic Chemistry (435 citations), Drug Discovery (1 citation) and Physical and Theoretical Chemistry (34 citations). Sourav Mondal has collaborated with scholars based in India, South Korea and United Arab Emirates. Frequent co-authors include Anita Pal, Nilanjan De, Kinkar Chandra Das, Arindam Dey, Zahid Raza, Muhammad Imran, Selvaraj Balachandran, Anita Pal, Amit Saha and Sasmita Barik. Their work appears in journals such as Current Organic Synthesis, Symmetry, Chemometrics and Intelligent Laboratory Systems, match Communications in Mathematical and in Computer Chemistry and International Journal of Quantum Chemistry.
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.