World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
50
Citations
8887
World Ranking
5016
National Ranking
177

Tek Narayan Maraseni publication distribution in Environmental Sciences in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Environmental Sciences in 2026. The highlighted bar marks where Tek Narayan Maraseni sits on this spectrum.

41–50 publications: 21 scientists 51–60 publications: 62 scientists 61–70 publications: 133 scientists 71–80 publications: 257 scientists 81–90 publications: 361 scientists 91–100 publications: 440 scientists 101–110 publications: 492 scientists 111–120 publications: 541 scientists 121–130 publications: 617 scientists 131–140 publications: 544 scientists 141–150 publications: 541 scientists 151–160 publications: 539 scientists 161–170 publications: 444 scientists 171–180 publications: 444 scientists 181–190 publications: 400 scientists 191–200 publications: 377 scientists 201–210 publications: 318 scientists 211–220 publications: 282 scientists 221–230 publications: 263 scientists 231–240 publications: 220 scientists 241–250 publications: 217 scientists 251–260 publications: 180 scientists 261–270 publications: 181 scientists 271–280 publications: 155 scientists 281–290 publications: 130 scientists 291–300 publications: 127 scientists 301–310 publications: 130 scientists 311–320 publications: 85 scientists 321–330 publications: 106 scientists 331–340 publications: 80 scientists 341–350 publications: 83 scientists 351–360 publications: 75 scientists 361–370 publications: 69 scientists 371–380 publications: 52 scientists 381–390 publications: 54 scientists 391–400 publications: 56 scientists 401–410 publications: 44 scientists 411–420 publications: 40 scientists 421–430 publications: 36 scientists 431–440 publications: 25 scientists 441–450 publications: 25 scientists 451–460 publications: 32 scientists 461–470 publications: 29 scientists 471–480 publications: 21 scientists 481–490 publications: 26 scientists 491–500 publications: 26 scientists 501–510 publications: 17 scientists 511–520 publications: 19 scientists 521–530 publications: 15 scientists 531–540 publications: 22 scientists 541–550 publications: 12 scientists 551–560 publications: 15 scientists 561–570 publications: 11 scientists 571–580 publications: 19 scientists 581–590 publications: 9 scientists 591–600 publications: 9 scientists 601–610 publications: 7 scientists 611–620 publications: 11 scientists 621–630 publications: 5 scientists 631–640 publications: 5 scientists 641–650 publications: 6 scientists 651–660 publications: 3 scientists 661–670 publications: 3 scientists 671–680 publications: 4 scientists 681–689 publications: 4 scientists 690+ publications: 100 scientists
41 publications 690+

This scientist: 293 publications — 85th percentile

85% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 690 publications or more.

Tek Narayan Maraseni D-index placement in Environmental Sciences in 2026

The chart shows the D-index (discipline H-index) distribution of Environmental Sciences scientists ranked by Research.com in 2026. The highlighted bar marks where Tek Narayan Maraseni sits on this spectrum.

30 D-Index: 12 scientists 31 D-Index: 26 scientists 32 D-Index: 51 scientists 33 D-Index: 88 scientists 34 D-Index: 123 scientists 35 D-Index: 163 scientists 36 D-Index: 206 scientists 37 D-Index: 267 scientists 38 D-Index: 265 scientists 39 D-Index: 275 scientists 40 D-Index: 321 scientists 41 D-Index: 343 scientists 42 D-Index: 305 scientists 43 D-Index: 336 scientists 44 D-Index: 330 scientists 45 D-Index: 348 scientists 46 D-Index: 291 scientists 47 D-Index: 275 scientists 48 D-Index: 272 scientists 49 D-Index: 273 scientists 50 D-Index: 263 scientists 51 D-Index: 232 scientists 52 D-Index: 266 scientists 53 D-Index: 217 scientists 54 D-Index: 198 scientists 55 D-Index: 177 scientists 56 D-Index: 202 scientists 57 D-Index: 204 scientists 58 D-Index: 166 scientists 59 D-Index: 177 scientists 60 D-Index: 166 scientists 61 D-Index: 152 scientists 62 D-Index: 143 scientists 63 D-Index: 150 scientists 64 D-Index: 124 scientists 65 D-Index: 119 scientists 66 D-Index: 120 scientists 67 D-Index: 118 scientists 68 D-Index: 82 scientists 69 D-Index: 98 scientists 70 D-Index: 94 scientists 71 D-Index: 105 scientists 72 D-Index: 74 scientists 73 D-Index: 84 scientists 74 D-Index: 70 scientists 75 D-Index: 67 scientists 76 D-Index: 78 scientists 77 D-Index: 60 scientists 78 D-Index: 59 scientists 79 D-Index: 52 scientists 80 D-Index: 47 scientists 81 D-Index: 38 scientists 82 D-Index: 48 scientists 83 D-Index: 42 scientists 84 D-Index: 42 scientists 85 D-Index: 43 scientists 86 D-Index: 29 scientists 87 D-Index: 37 scientists 88 D-Index: 29 scientists 89 D-Index: 30 scientists 90 D-Index: 34 scientists 91 D-Index: 20 scientists 92 D-Index: 22 scientists 93 D-Index: 17 scientists 94 D-Index: 19 scientists 95 D-Index: 24 scientists 96 D-Index: 21 scientists 97 D-Index: 20 scientists 98 D-Index: 24 scientists 99 D-Index: 17 scientists 100 D-Index: 17 scientists 101 D-Index: 21 scientists 102 D-Index: 25 scientists 103 D-Index: 18 scientists 104 D-Index: 26 scientists 105 D-Index: 20 scientists 106 D-Index: 15 scientists 107 D-Index: 10 scientists 108 D-Index: 13 scientists 109 D-Index: 15 scientists 110 D-Index: 12 scientists 111 D-Index: 8 scientists 112 D-Index: 7 scientists 113 D-Index: 9 scientists 114 D-Index: 6 scientists 115 D-Index: 12 scientists 116 D-Index: 7 scientists 117 D-Index: 8 scientists 118 D-Index: 3 scientists 119 D-Index: 5 scientists 120 D-Index: 7 scientists 121 D-Index: 2 scientists 122 D-Index: 4 scientists 123 D-Index: 8 scientists 124 D-Index: 7 scientists 125 D-Index: 9 scientists 126+ D-Index: 92 scientists
30 D-Index 126+

This scientist: 50 D-Index — 50th percentile

50% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 126 D-Index or more.

Overview

Tek Narayan Maraseni is affiliated with the University of Southern Queensland in Australia. The primary domain of their research is Environmental Science, with a significant focus on subfields such as Global and Planetary Change, Economics and Econometrics, Ecology, Sociology and Political Science, and Environmental Engineering.

Their work covers a broad spectrum of topics including:

  • Conservation, Biodiversity, and Resource Management
  • Land Use and Ecosystem Services
  • Wildlife Ecology and Conservation
  • Forest Management and Policy
  • Energy, Environment, Economic Growth
  • Energy and Environment Impacts
  • Economic and Environmental Valuation

Maraseni has published extensively in various academic venues. The most frequent publication outlets include:

  • Land Use Policy
  • Journal of Environmental Management
  • SSRN Electronic Journal
  • The Science of The Total Environment
  • Sustainability

Among recent papers by Maraseni and their co-authors are:

  • "Assay of renewable energy transition: A systematic literature review," 2022, The Science of The Total Environment
  • "How much do we know about trade-offs in ecosystem services? A systematic review of empirical research observations," 2021, The Science of The Total Environment
  • "Implementation effect of municipal solid waste mandatory sorting policy in Shanghai," 2021, Journal of Environmental Management
  • "Response and resilience of Asian agrifood systems to COVID-19: An assessment across twenty-five countries and four regional farming and food systems," 2021, Agricultural Systems
  • "Carbon smart agriculture: An integrated regional approach offers significant potential to increase profit and resource use efficiency, and reduce emissions," 2020, Journal of Cleaner Production

Tek Narayan Maraseni's collaborations involve several frequent co-authors, including:

  • Armando Apan
  • Kishor Aryal
  • Hari Prasad Pandey
  • Utsav Bhattarai
  • Laxmi Prasad Devkota

In addition to articles, Maraseni has contributed to book publications, with at least one book released through Springer International Publishing titled "Agriculture, Natural Resources and Food Security" published in 2022.

Best Publications

  • Climate change, poverty and livelihoods: adaptation practices by rural mountain communities in Nepal

    Popular Gentle;Tek Narayan Maraseni

  • Estimation and mapping of above-ground biomass of mangrove forests and their replacement land uses in the Philippines using Sentinel imagery

    Jose Alan A. Castillo;Armando A. Apan;Tek N. Maraseni;Severino G. Salmo

  • Soil moisture forecasting by a hybrid machine learning technique: ELM integrated with ensemble empirical mode decomposition

    Ramendra Prasad;Ravinesh C. Deo;Yan Li;Tek Maraseni

  • Global trend of forest ecosystem services valuation – An analysis of publications

    Ram Prasad Acharya;Tek Maraseni;Geoff Cockfield

  • Input selection and performance optimization of ANN-based streamflow forecasts in the drought-prone Murray Darling Basin region using IIS and MODWT algorithm

    Ramendra Prasad;Ravinesh C. Deo;Yan Li;Tek Maraseni

  • An international comparison of rice consumption behaviours and greenhouse gas emissions from rice production

    Tek Narayan Maraseni;Tek Narayan Maraseni;Ravinesh C. Deo;Jiansheng Qu;Popular Gentle;Popular Gentle

  • An assessment of the impacts of the REDD+ pilot project on community forests user groups (CFUGs) and their community forests in Nepal

    T.N. Maraseni;P R Neupane;Federico Lopez-Casero;T. Cadman

  • Vulnerability of Himalayan transhumant communities to climate change

    Suman Aryal;Geoff Cockfield;Tek Narayan Maraseni

  • How much do we know about trade-offs in ecosystem services? A systematic review of empirical research observations.

    Kishor Aryal;Tek N. Maraseni;Tek N. Maraseni;Armando Apan

  • Predicting the distributions of predator (snow leopard) and prey (blue sheep) under climate change in the Himalaya

    Achyut Aryal;Achyut Aryal;Uttam Babu Shrestha;Weihong Ji;Som B. Ale;Som B. Ale

  • Weekly soil moisture forecasting with multivariate sequential, ensemble empirical mode decomposition and Boruta-random forest hybridizer algorithm approach

    Ramendra Prasad;Ravinesh C. Deo;Yan Li;Tek Maraseni

  • Multi-layer perceptron hybrid model integrated with the firefly optimizer algorithm for windspeed prediction of target site using a limited set of neighboring reference station data

    Ravinesh C. Deo;Mohammad Ali Ghorbani;Mohammad Ali Ghorbani;Saeed Samadianfard;Tek Maraseni

  • Energy and water tradeoffs in enhancing food security: a selective international assessment

    Shahbaz Mushtaq;Tek Narayan Maraseni;Jerry Maroulis;Mohsin Hafeez

  • Household carbon dioxide emissions from peasants and herdsmen in northwestern arid-alpine regions, China

    Jiansheng Qu;Jiansheng Qu;Jingjing Zeng;Yan Li;Qin Wang

  • Does the adoption of zero tillage reduce greenhouse gas emissions? An assessment for the grains industry in Australia

    T.N. Maraseni;G. Cockfield

  • Assessing the roles of community forestry in climate change mitigation and adaptation: a case study from Nepal

    Shiva Shankar Pandey;Geoff Cockfield;Tek Narayan Maraseni

  • Implementation effect of municipal solid waste mandatory sorting policy in Shanghai.

    Yao Wang;Yu Shi;Jizhi Zhou;Jun Zhao

  • Improving SPI-derived drought forecasts incorporating synoptic-scale climate indices in multi-phase multivariate empirical mode decomposition model hybridized with simulated annealing and kernel ridge regression algorithms

    Mumtaz Ali;Ravinesh C. Deo;Tek Maraseni;Nathan J. Downs

  • Greenhouse gas emissions from rice farming inputs: a cross-country assessment

    T.N. Maraseni;Shahbaz Mushtaq;J. Maroulis

  • An assessment of greenhouse gas emissions from the Australian vegetables industry

    Tek N. Maraseni;Geoff Cockfield;Jerry Maroulis;Guangnan Chen

  • Five years of REDD+ governance: The use of market mechanisms as a response to anthropogenic climate change

    Timothy Cadman;Tek Maraseni;Hwan Ok Ma;Federico Lopez-Casero

  • Comparing the financial returns from acacia plantations with different plantation densities and rotation ages in Vietnam

    Tek Narayan Maraseni;Hoang Lien Son;Geoff Cockfield;Hung Vu Duy

Frequent Co-Authors

Ravinesh C. Deo
Ravinesh C. Deo University of Southern Queensland
Jochen Bundschuh
Jochen Bundschuh University of Southern Queensland
Mumtaz Ali
Mumtaz Ali University of Southern Queensland
Guangren Qian
Guangren Qian Shanghai University
Benjamin L. Allen
Benjamin L. Allen University of Southern Queensland
Talal Yusaf
Talal Yusaf Aviation Australia
Paul Dargusch
Paul Dargusch University of Queensland
Stuart R. Phinn
Stuart R. Phinn University of Queensland
David Raubenheimer
David Raubenheimer University of Sydney
Rodney J. Keenan
Rodney J. Keenan University of Melbourne

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