Sumit Chakravarty

1.6k total citations
76 papers, 583 citations indexed

About

Sumit Chakravarty is a scholar working on Plant Science, Nature and Landscape Conservation and Global and Planetary Change. According to data from OpenAlex, Sumit Chakravarty has authored 76 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Plant Science, 20 papers in Nature and Landscape Conservation and 20 papers in Global and Planetary Change. Recurrent topics in Sumit Chakravarty's work include Forest ecology and management (14 papers), Ethnobotanical and Medicinal Plants Studies (13 papers) and Ecology and Vegetation Dynamics Studies (11 papers). Sumit Chakravarty is often cited by papers focused on Forest ecology and management (14 papers), Ethnobotanical and Medicinal Plants Studies (13 papers) and Ecology and Vegetation Dynamics Studies (11 papers). Sumit Chakravarty collaborates with scholars based in India, United States and Fiji. Sumit Chakravarty's co-authors include Gopal Shukla, Nazir A. Pala, Vineeta Vineeta, Jahangeer A. Bhat, Munesh Kumar, Antony Joseph Raj, Arun Jyoti Nath, Rainer W. Bussmann, Shovik Deb and Nakul Chettri and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Frontiers in Plant Science.

In The Last Decade

Sumit Chakravarty

69 papers receiving 558 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Sumit Chakravarty India	14	258	164	103	83	82	76	583
L. S. Rawat India	16	325 1.3×	118 0.7×	56 0.5×	65 0.8×	85 1.0×	31	623
Cory Whitney Germany	16	354 1.4×	205 1.3×	50 0.5×	60 0.7×	124 1.5×	61	803
Gerhard Langenberger Germany	10	226 0.9×	105 0.6×	39 0.4×	83 1.0×	45 0.5×	17	513
Pitamber Prasad Dhyani India	18	309 1.2×	330 2.0×	129 1.3×	99 1.2×	129 1.6×	32	1.0k
Ram Prasad Acharya Australia	14	179 0.7×	328 2.0×	69 0.7×	51 0.6×	50 0.6×	18	643
P. C. Phondani India	15	424 1.6×	85 0.5×	54 0.5×	111 1.3×	105 1.3×	36	716
Fréderic Gay France	15	270 1.0×	120 0.7×	47 0.5×	35 0.4×	52 0.6×	27	596
Ricardo David Valdez‐Cepeda Mexico	14	342 1.3×	118 0.7×	41 0.4×	185 2.2×	49 0.6×	124	706
Abdullah Abdullah Pakistan	15	353 1.4×	107 0.7×	55 0.5×	73 0.9×	223 2.7×	96	930
Arun Bhatt India	15	338 1.3×	53 0.3×	97 0.9×	87 1.0×	67 0.8×	57	691

Countries citing papers authored by Sumit Chakravarty

Since Specialization

Citations

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

Fields of papers citing papers by Sumit Chakravarty

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sumit Chakravarty

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

All Works

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20 of 20 papers shown

Ranjan, Rajeev, et al.. (2025). Predicting crop disease severity using real time weather variability through machine learning algorithms. Scientific Reports. 15(1). 34767–34767.

Agarwal, Satyam, et al.. (2024). Non-Coherent Distributed Transmission with Chirp Spread Spectrum Modulation. 51–56. 1 indexed citations

Shukla, Gopal, et al.. (2024). A Baseline Study of A’chik Homegardens in North-East India: Structure, Composition and Utilization. Human Ecology. 52(3). 563–577.

Tanveer, M. Hassan, et al.. (2023). The CanSat Compendium: A Review of Scientific CanSats. Machines. 11(7). 675–675. 5 indexed citations

Chakravarty, Sumit, et al.. (2023). Open-Source, Low-Cost, and Bimodal Amateur Radio Communication Paradigm for Scientific CanSats. 212–218.

Shukla, Gopal, et al.. (2023). Species richness, stand structure and carbon storage under an age chronosequence in Tectona grandis plantation at agricultural landscape of Indian Eastern Himalayan Foothill. Tropical Ecology. 64(4). 681–697. 1 indexed citations

Chakravarty, Sumit, et al.. (2019). Meningitis caused by micrococcus luteus: Case report and review of literature. IP International Journal of Medical Microbiology and Tropical Diseases. 5(1). 63–64. 8 indexed citations

Pala, Nazir A., Gopal Shukla, Nakul Chettri, et al.. (2019). Floristic composition and utilization of ethnomedicinal plant species in home gardens of the Eastern Himalaya. Journal of Ethnobiology and Ethnomedicine. 15(1). 14–14. 49 indexed citations

Shukla, Gopal, et al.. (2018). Carbon accumulation and partitioning in sub-humid forest stands of West Bengal India.. Indian Forester. 144(3). 229–233. 2 indexed citations

10.

Chakravarty, Sumit, et al.. (2018). Mitigation, adaptation and coping strategies of forest and farming dependent communities from impacts of global climate change.. Indian Forester. 144(11). 1054–1062. 3 indexed citations

11.

Shukla, Gopal & Sumit Chakravarty. (2018). Biomass, primary nutrient and carbon stock in a sub-Himalayan forest of West Bengal, India.. Journal of Forest and Environmental Science. 34(1). 12–23. 3 indexed citations

12.

Pala, Nazir A., et al.. (2017). Community dynamics: competition and facilitation studies of tree species in temperate forest of the Indian Himalaya.. Indian Journal of Ecology. 44(2). 279–288. 1 indexed citations

13.

Pala, Nazir A., et al.. (2017). Ethnomedicinal plants used to cure stomach disorders in forest fringe communities in Northern part of West Bengal. Indian Journal of Natural Products and Resources. 8(4). 370–380. 7 indexed citations

14.

Kumar, K. R., et al.. (2015). Comparative studies on tissue culture plantlet versus conventional sucker var. Grand Naine banana.. PLANT ARCHIVES. 15(2). 785–788. 1 indexed citations

15.

Shukla, Gopal, Nazir A. Pala, & Sumit Chakravarty. (2014). Carbon, Litter and Nutrient Status in Teak Stands of a Foothill Forest in Indian Eastern Himalayas. 33(2). 24–32. 2 indexed citations

16.

Shukla, Gopal, et al.. (2014). Wild Edible Tree Fruits of Sikkim Himalayas. 33(1). 43–48. 10 indexed citations

17.

Chakravarty, Sumit, et al.. (2013). Impact of soil and water conservation on production of major crops in Ratlam and Mandsaur districts of Madhya Pradesh. 4(1). 4–8. 1 indexed citations

18.

Panwar, Pankaj, et al.. (2013). Soil quality and production of low land paddy under agrisilviculture systems in acid soil of West Bengal, India. Range Management and Agroforestry. 34(1). 51–57. 1 indexed citations

19.

Shukla, Gopal & Sumit Chakravarty. (2012). Ethnobotanical Plant Use of Chilapatta Reserved Forest in West Bengal. Indian Forester. 138(12). 1116–1124. 18 indexed citations

20.

Chakravarty, Sumit, et al.. (2012). North-east India, the Geographical Gateway of India's Phytodiversity. Indian Forester. 138(8). 702–709. 11 indexed citations

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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