Nisha Radhakrishnan

715 total citations
35 papers, 511 citations indexed

About

Nisha Radhakrishnan is a scholar working on Global and Planetary Change, Environmental Engineering and Water Science and Technology. According to data from OpenAlex, Nisha Radhakrishnan has authored 35 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Global and Planetary Change, 9 papers in Environmental Engineering and 8 papers in Water Science and Technology. Recurrent topics in Nisha Radhakrishnan's work include Flood Risk Assessment and Management (11 papers), Hydrology and Watershed Management Studies (8 papers) and Land Use and Ecosystem Services (8 papers). Nisha Radhakrishnan is often cited by papers focused on Flood Risk Assessment and Management (11 papers), Hydrology and Watershed Management Studies (8 papers) and Land Use and Ecosystem Services (8 papers). Nisha Radhakrishnan collaborates with scholars based in India and Russia. Nisha Radhakrishnan's co-authors include Samson Mathew, Sathees Kumar, D. Thirumalaivasan, L. Elango, Krishna Ramaswamy, B. Anand, C. Durgesh, S. Sreelekshmi and M. V. L. R. Anjaneyulu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Monitoring and Assessment and Water Resources Management.

In The Last Decade

Nisha Radhakrishnan

31 papers receiving 494 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nisha Radhakrishnan India 10 306 181 162 80 72 35 511
Zhenyu Zhang China 13 194 0.6× 160 0.9× 328 2.0× 108 1.4× 62 0.9× 31 546
Luke Marzen United States 14 317 1.0× 191 1.1× 272 1.7× 136 1.7× 60 0.8× 32 664
Chunhong Zhao China 9 250 0.8× 147 0.8× 127 0.8× 83 1.0× 58 0.8× 16 454
Mărgărit‐Mircea Nistor Romania 15 314 1.0× 134 0.7× 151 0.9× 69 0.9× 82 1.1× 33 520
Yongcai Jing China 10 185 0.6× 133 0.7× 128 0.8× 41 0.5× 17 0.2× 18 406
Olutoyin Adeola Fashae Nigeria 12 388 1.3× 351 1.9× 208 1.3× 93 1.2× 49 0.7× 34 662
Jiangang Xu China 13 258 0.8× 68 0.4× 98 0.6× 146 1.8× 17 0.2× 33 532
Sebastian Stoll Switzerland 10 187 0.6× 171 0.9× 305 1.9× 46 0.6× 92 1.3× 16 516
Klaus Baier Germany 10 188 0.6× 236 1.3× 152 0.9× 45 0.6× 119 1.7× 21 421
Kousik Das India 11 198 0.6× 177 1.0× 164 1.0× 88 1.1× 14 0.2× 16 396

Countries citing papers authored by Nisha Radhakrishnan

Since Specialization
Citations

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

Fields of papers citing papers by Nisha Radhakrishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nisha Radhakrishnan

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

All Works

20 of 20 papers shown
1.
Radhakrishnan, Nisha, et al.. (2025). Internet of Things (IoT)- based strain monitoring system for large engineering structures. Innovative Infrastructure Solutions. 10(1).
2.
Radhakrishnan, Nisha, et al.. (2024). Prioritization of Sub-Watersheds Susceptible to Soil Erosion using Different Combinations of Objective Weighting and MCDM Techniques in an Ungauged River Basin. Water Resources Management. 38(9). 3447–3469. 5 indexed citations
3.
Radhakrishnan, Nisha, et al.. (2024). Assessment and Prioritization of Sub-Watersheds Vulnerable to Soil Erosion in an Ungauged River Basin Using MOORA, COPRAS, MARCOS and MABAC Methods. Journal of the Indian Society of Remote Sensing. 52(10). 2143–2163. 4 indexed citations
4.
Sreelekshmi, S., et al.. (2024). Mode choice modelling of work trips using latent variables for a medium-sized city in India. Transportation Planning and Technology. 47(7). 1068–1091.
5.
Anand, B., et al.. (2023). Analysis of LULC change dynamics and its impact assessment using CA-ANN model in part of Coimbatore region, India. GeoJournal. 88(6). 5825–5845. 8 indexed citations
6.
Radhakrishnan, Nisha, et al.. (2023). Prediction of soil erosion and sediment yield in an ungauged basin based on land use land cover changes. Environmental Monitoring and Assessment. 196(1). 56–56. 6 indexed citations
7.
Radhakrishnan, Nisha, et al.. (2021). Evaluation of various image transformation techniques for the delineation of coastal sand dune features in Tamil Nadu, South India. Earth Science Informatics. 14(2). 883–892. 1 indexed citations
8.
9.
Radhakrishnan, Nisha, et al.. (2020). Spatial accessibility analysis of schools using geospatial techniques. Spatial Information Research. 28(6). 699–708. 17 indexed citations
10.
Radhakrishnan, Nisha, et al.. (2020). An Integrated Hydrologic and Hydraulic Flood Modeling Study for a Medium-Sized Ungauged Urban Catchment Area: A Case Study of Tiruchirappalli City Using HEC-HMS and HEC-RAS. Journal of The Institution of Engineers (India) Series A. 101(2). 381–398. 40 indexed citations
11.
Radhakrishnan, Nisha, et al.. (2020). Assessment of Rainfall–Runoff Due to the Impacts of Land-Use Changes by Integrated Geospatial Empirical Approach: Study on Koraiyar Basin, Tiruchirappalli City, India. Journal of the Indian Society of Remote Sensing. 49(4). 793–812. 4 indexed citations
12.
Radhakrishnan, Nisha, et al.. (2019). Accessibility Analysis for Healthcare Centers using Gravity Model and Geospatial Techniques. SHILAP Revista de lepidopterología. 1 indexed citations
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Radhakrishnan, Nisha, et al.. (2016). Studying Land Use Travel Demand Interaction Using 3S Technology for Tiruchirappalli City. Journal of the Indian Society of Remote Sensing. 45(5). 815–824. 2 indexed citations
16.
Radhakrishnan, Nisha, et al.. (2014). Analysis of Urban Sprawl Pattern in Tiruchirappalli City Using Applications of Remote Sensing and GIS. Arabian Journal for Science and Engineering. 39(7). 5555–5563. 12 indexed citations
17.
Kumar, Sathees, D. Thirumalaivasan, Nisha Radhakrishnan, & Samson Mathew. (2012). Groundwater vulnerability assessment using SINTACS model. Geomatics Natural Hazards and Risk. 4(4). 339–354. 39 indexed citations
18.
Kumar, Sathees, et al.. (2011). Land Use and Land Cover Assessment along Tiruchirappalli City Using Remote Sensing. SSRN Electronic Journal. 2 indexed citations
19.
Radhakrishnan, Nisha, et al.. (2006). Global positioning System in disaster monitoring of Koyna dam, Western Maharashtra. Survey Review. 38(301). 629–636. 9 indexed citations
20.
Radhakrishnan, Nisha, et al.. (1970). Observations on Silver Smelts (Argentina sp.) from the Norwegian Deeps. Duo Research Archive (University of Oslo). 1 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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