Varun Mithal

912 citations
25 papers · 398 indexed · h-index 11
Topics
Remote Sensing in Agriculture (12 papers)Remote Sensing and LiDAR Applications (5 papers)Remote-Sensing Image Classification (5 papers)
Partner nations
United StatesNorwayIndia

In The Last Decade

Varun Mithal

24 papers receiving 373 citations

Peers

Varun Mithal
Comparison fields: 5 of 84
  • Artificial Intelligence 200
  • Global and Planetary Change 86
  • Computer Networks and Communications 73
  • Signal Processing 68
  • Ecology 59
Replace M. Ramalingam with:
M. Ramalingam India
Dalton Lunga United States
Muhammad Attique Khan Saudi Arabia
Marjan Alirezaie Sweden
Charlie Catlett United States
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Citations per field
00.5×4.9×
M. Ramalingam · 1×
Citations per year

Countries citing papers authored by Varun Mithal

Since Specialization
Citations

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

Fields of papers citing papers by Varun Mithal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Varun Mithal

This figure shows the co-authorship network connecting the top 25 collaborators of Varun Mithal. A scholar is included among the top collaborators of Varun Mithal 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 Varun Mithal. Varun Mithal 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
1 2
2 23
3 15
4 81
5 27
6
Multiple Instance Learning for bags with Ordered instances
0
7
Mapping Burned Areas in Tropical forests using MODIS data
2
8 16
9
Supplement for "Change Detection from Temporal Sequences of Class Labels: Application to Land Cover Change Mapping"
1
10 4
11 8
12 20
13 19
14
A STUDY OF TIME SERIES NOISE REDUCTION TECHNIQUES IN THE CONTEXT OF LAND COVER CHANGE DETECTION
4
15 23
16
Incorporating Natural Variation into Time Series-Based Land Cover Change Detection.
6
17
A Novel Time Series Based Approach to Detect Gradual Vegetation Changes in Forests.
6
18 2
19
A comparative study of algorithms for land cover change
4
20 102

About Varun Mithal

Varun Mithal is a scholar working on Media Technology, Ecology and Global and Planetary Change, having authored 25 papers that have together received 398 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (12 papers), Remote Sensing and LiDAR Applications (5 papers) and Remote-Sensing Image Classification (5 papers). The work is most often cited by research in Health Informatics (18 citations), Signal Processing (68 citations) and Artificial Intelligence (200 citations). Varun Mithal has collaborated with scholars based in United States, Norway and India. Frequent co-authors include Vipin Kumar, Varun Chandola, Krishnaram Kenthapadi, Ankur Taly, Krishna Gade, Sahin Cem Geyik, Shyam Boriah, Ankush Khandelwal, Christopher Potter and Steven Klooster. Their work appears in journals such as Remote Sensing, Environmental Research Letters and IEEE Transactions on Knowledge and Data Engineering.

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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