Purabi Saikia
- Ecological Modeling top 5%
- Species Distribution and Climate Change 7
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- Ecology and Vegetation Dynamics Studies 14
- Forest ecology and management 8
- Global and Planetary Change top 5%
- Land Use and Ecosystem Services 8
- Conservation, Biodiversity, and Resource Management 5
- Forestry top 5%
- Environmental Engineering top 10%
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- Remote Sensing in Agriculture 8
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- Ethnobotanical and Medicinal Plants Studies 5
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- Urban Green Space and Health 5
- Co-authors
- Mohammed Latif KhanAmit KumarPreet LalDibyendu AdhikariShubham KumarSanta Ram JoshiLal Bihari SinghaOm Prakash Tripathi
- Journals
- The Science of The Total Environment (1 paper)Environmental Science and Pollution Research (1 paper)Biotropica (1 paper)
- Partner nations
- IndiaCanadaUnited States
In The Last Decade
Purabi Saikia
46 papers receiving 722 citations
Peers
Comparison fields: 5 of 108
- Ecological Modeling 93
- Nature and Landscape Conservation 189
- Global and Planetary Change 323
- Forestry 51
- Environmental Engineering 108
Countries citing papers authored by Purabi Saikia
This map shows the geographic impact of Purabi Saikia'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 Purabi Saikia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Purabi Saikia more than expected).
Fields of papers citing papers by Purabi Saikia
This network shows the impact of papers produced by Purabi Saikia. 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 Purabi Saikia. The network helps show where Purabi Saikia may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Purabi Saikia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 0 | |
| 8 | 2022 | 4 | |
| 9 | 2022 | 5 | |
| 10 | 2022 | 2 | |
| 11 | 2022 | 8 | |
| 12 | 2021 | 1 | |
| 13 | 2021 | 8 | |
| 14 | 2021 | 18 | |
| 15 | 2021 | 3 | |
| 16 | 2020 | 11 | |
| 17 | 2020 | 11 | |
| 18 | 2020 | 12 | |
| 19 | 2019 | 56 | |
| 20 | 2019 | 28 |
About Purabi Saikia
Purabi Saikia is a scholar working on Ecological Modeling, Nature and Landscape Conservation and Forestry, having authored 50 papers that have together received 776 indexed citations. Recurring topics across this work include Ecology and Vegetation Dynamics Studies (14 papers), Remote Sensing in Agriculture (8 papers), Land Use and Ecosystem Services (8 papers), Forest ecology and management (8 papers), Species Distribution and Climate Change (7 papers), Conservation, Biodiversity, and Resource Management (5 papers), Ethnobotanical and Medicinal Plants Studies (5 papers) and Urban Green Space and Health (5 papers). The work is most often cited by research in Ecological Modeling (93 citations), Nature and Landscape Conservation (189 citations) and Global and Planetary Change (323 citations). Purabi Saikia has collaborated with scholars based in India, Canada and United States. Frequent co-authors include Mohammed Latif Khan, Amit Kumar, Preet Lal, Dibyendu Adhikari, Shubham Kumar, Santa Ram Joshi, Lal Bihari Singha, Om Prakash Tripathi, Jyotishman Deka and Arvind Chandra Pandey. Their work appears in journals such as The Science of The Total Environment, Environmental Science and Pollution Research and Biotropica.
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.