M.C. Kiran

707 total citations
10 papers, 521 citations indexed

About

M.C. Kiran is a scholar working on Ecology, Global and Planetary Change and Nature and Landscape Conservation. According to data from OpenAlex, M.C. Kiran has authored 10 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Ecology, 5 papers in Global and Planetary Change and 3 papers in Nature and Landscape Conservation. Recurrent topics in M.C. Kiran's work include Ecology and Vegetation Dynamics Studies (3 papers), Remote Sensing in Agriculture (3 papers) and Wildlife Ecology and Conservation (3 papers). M.C. Kiran is often cited by papers focused on Ecology and Vegetation Dynamics Studies (3 papers), Remote Sensing in Agriculture (3 papers) and Wildlife Ecology and Conservation (3 papers). M.C. Kiran collaborates with scholars based in India, United Kingdom and United States. M.C. Kiran's co-authors include Jagdish Krishnaswamy, K. N. Ganeshaiah, Kamaljit S. Bawa, Arundhati Das, N. Samba Kumar, K. Ullas Karanth, Narayani Barve, M. Bonell, Shrinivas Badiger and B. Venkatesh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Journal of Hydrology.

In The Last Decade

M.C. Kiran

10 papers receiving 486 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M.C. Kiran India 7 272 251 132 111 91 10 521
Nicholas J. Souter Australia 12 240 0.9× 263 1.0× 150 1.1× 91 0.8× 142 1.6× 36 505
José Manuel Álvarez‐Martínez Spain 14 277 1.0× 331 1.3× 125 0.9× 145 1.3× 45 0.5× 42 625
Kenneth G. Boykin United States 14 203 0.7× 281 1.1× 86 0.7× 172 1.5× 96 1.1× 36 551
Ángel de Frutos Spain 14 232 0.9× 199 0.8× 157 1.2× 93 0.8× 64 0.7× 19 517
Piao Shilong China 9 265 1.0× 210 0.8× 73 0.6× 56 0.5× 37 0.4× 12 445
Marisa Gesteira Fonseca Brazil 13 551 2.0× 251 1.0× 171 1.3× 69 0.6× 32 0.4× 21 732
Priscilla Minotti Argentina 13 279 1.0× 269 1.1× 195 1.5× 38 0.3× 94 1.0× 25 582
Ludmila Rattis Brazil 14 375 1.4× 213 0.8× 148 1.1× 86 0.8× 46 0.5× 24 650
D. L. Peterson United States 9 322 1.2× 372 1.5× 179 1.4× 76 0.7× 54 0.6× 20 639
Cynthia P. Melcher United States 11 267 1.0× 518 2.1× 238 1.8× 100 0.9× 55 0.6× 22 641

Countries citing papers authored by M.C. Kiran

Since Specialization
Citations

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

Fields of papers citing papers by M.C. Kiran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.C. Kiran. 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 M.C. Kiran. The network helps show where M.C. Kiran may publish in the future.

Co-authorship network of co-authors of M.C. Kiran

This figure shows the co-authorship network connecting the top 25 collaborators of M.C. Kiran. A scholar is included among the top collaborators of M.C. Kiran 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 M.C. Kiran. M.C. Kiran 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
1.
Kiran, M.C., et al.. (2021). Documentation and characterization of fungal diseases in nursery seedlings of teak (Tectona grandis L.f.) in Kerala, India. Indian Phytopathology. 74(3). 639–647. 1 indexed citations
2.
Kiran, M.C., et al.. (2020). Diversity of polypores in Kerala Agricultural University main campus, Vellanikkara, Kerala, India. Journal of Threatened Taxa. 12(8). 15889–15904. 1 indexed citations
4.
Krishnaswamy, Jagdish, M. Bonell, B. Venkatesh, et al.. (2012). The rain–runoff response of tropical humid forest ecosystems to use and reforestation in the Western Ghats of India. Journal of Hydrology. 472-473. 216–237. 49 indexed citations
5.
Krishnaswamy, Jagdish, Kamaljit S. Bawa, K. N. Ganeshaiah, & M.C. Kiran. (2009). Quantifying and mapping biodiversity and ecosystem services: Utility of a multi-season NDVI based Mahalanobis distance surrogate. Remote Sensing of Environment. 113(4). 857–867. 101 indexed citations
6.
Das, Arundhati, Jagdish Krishnaswamy, Kamaljit S. Bawa, et al.. (2006). Prioritisation of conservation areas in the Western Ghats, India. Biological Conservation. 133(1). 16–31. 131 indexed citations
7.
Barve, Narayani, M.C. Kiran, N. A. Aravind, et al.. (2005). Measuring and Mapping Threats to a Wildlife Sanctuary in Southern India. Conservation Biology. 19(1). 122–130. 34 indexed citations
8.
Krishnaswamy, Jagdish, M.C. Kiran, & K. N. Ganeshaiah. (2004). Tree model based eco-climatic vegetation classification and fuzzy mapping in diverse tropical deciduous ecosystems using multi-season NDVI. International Journal of Remote Sensing. 25(6). 1185–1205. 48 indexed citations
9.
Bawa, Kamaljit S., et al.. (2002). Assessing Biodiversity from Space: an Example from the Western Ghats, India. SHILAP Revista de lepidopterología. 6(2). 61 indexed citations
10.
Barve, Narayani, et al.. (2000). Mapping of forests based on biological diversity to identify conservation sites: A case study from Udupi and South Canara districts of Karnataka. 80(6). 531–536. 5 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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