Manoj K. Arora

111 papers receiving 3.8k citations

Hit Papers

A comparative study of conventional, ANN black box, fuzzy...20062026201220192006100200300400

Peers

Manoj K. Arora
Comparison fields: 5 of 121
  • Management, Monitoring, Policy and Law 1.9k
  • Global and Planetary Change 1.5k
  • Atmospheric Science 1.1k
  • Media Technology 580
  • Safety, Risk, Reliability and Quality 500
Replace Taşkın Kavzoğlu with:
Taşkın Kavzoğlu Türkiye
Ruiqing Niu China
Saied Pirasteh China
Bahareh Kalantar Japan
Thomas Oommen United States
Weile Li China
İsmail Çölkesen Türkiye
Chang-Wook Lee South Korea
Manfred Buchroithner Germany
Sansar Raj Meena Italy
Manoj K. Arora relative to Taşkın Kavzoğlu Türkiye Taşkın Kavzoğlu's profile →
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Citations per year

Countries citing papers authored by Manoj K. Arora

Since Specialization
Citations

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

Fields of papers citing papers by Manoj K. Arora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manoj K. Arora. 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 Manoj K. Arora. The network helps show where Manoj K. Arora may publish in the future.

Co-authorship network of co-authors of Manoj K. Arora

This figure shows the co-authorship network connecting the top 25 collaborators of Manoj K. Arora. A scholar is included among the top collaborators of Manoj K. Arora 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 Manoj K. Arora. Manoj K. Arora 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
#WorkIndexed citations
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3 2
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7 14
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9 19
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Assessing uncertainty in fuzzy land cover classification by confusion index
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11 10
12 4
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Comparative BER Performance of PSK based modulationTechniques under Multipath Fading
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14 4
15 58
16 2
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Prediction of seismicity cycles in the Himalayas using artificial neural network
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GIS based Landslide Hazard Zonation using Neuro-Fuzzy Weighting.
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FACILITY BASED NETWORK PLANNING OF RURAL ROADS USING GIS.
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20 2

About Manoj K. Arora

Manoj K. Arora is a scholar working on Media Technology, Atmospheric Science and Management, Monitoring, Policy and Law, having authored 115 papers that have together received 4.0k indexed citations. Recurring topics across this work include Landslides and related hazards (31 papers), Remote-Sensing Image Classification (31 papers) and Cryospheric studies and observations (28 papers). The work is most often cited by research in Management, Monitoring, Policy and Law (1.9k citations), Global and Planetary Change (1.5k citations) and Media Technology (580 citations). Manoj K. Arora has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Rajender Gupta, Pramod K. Varshney, Ashis Kumar Saha, Debi Prasanna Kanungo, Shantanu Sarkar, Ravi P. Gupta, Rakesh Gupta, Elmar Csaplovics, Shivani Chauhan and Mukta Sharma. Their work appears in journals such as Renewable and Sustainable Energy Reviews, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

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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