Varun Mithal

24 papers receiving 382 citations

Peers

Varun Mithal
Comparison fields: 5 of 84
  • Health Informatics 17
  • Signal Processing 69
  • Artificial Intelligence 201
  • Global and Planetary Change 83
  • Media Technology 31
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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-authors

The 25 scholars most cited alongside Varun Mithal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Varun Mithal Line = papers co-authored together Varun Mithal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008102
2 201984
3 201827
4 202024
5 201123
6 201220
7 201220
8 201516
9 202016
10 201312
11 201310
12 20129
13
Incorporating Natural Variation into Time Series-Based Land Cover Change Detection.
20116
14
A Novel Time Series Based Approach to Detect Gradual Vegetation Changes in Forests.
20116
15 20175
16 20125
17 20134
18
A comparative study of algorithms for land cover change
20104
19
A STUDY OF TIME SERIES NOISE REDUCTION TECHNIQUES IN THE CONTEXT OF LAND COVER CHANGE DETECTION
20114
20 20242

About Varun Mithal

Varun Mithal is a scholar working on Ecology, Global and Planetary Change, Artificial Intelligence, Atmospheric Science and Environmental Engineering, having authored 25 papers that have together received 405 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (12 papers), Remote Sensing and Land Use (5 papers), Remote-Sensing Image Classification (5 papers), Remote Sensing and LiDAR Applications (5 papers), Fire effects on ecosystems (4 papers), Anomaly Detection Techniques and Applications (3 papers), Time Series Analysis and Forecasting (3 papers) and Explainable Artificial Intelligence (XAI) (3 papers). The work is most often cited by research in Health Informatics (17 citations), Signal Processing (69 citations), Artificial Intelligence (201 citations), Global and Planetary Change (83 citations) and Media Technology (31 citations). Varun Mithal has collaborated with scholars based in United States, Norway and Germany. Frequent co-authors include Vipin Kumar, Varun Chandola, Krishnaram Kenthapadi, Krishna Gade, Sahin Cem Geyik, Ankur Taly, Shyam Boriah, Ankush Khandelwal, Steven Klooster and Christopher Potter. Their work appears in journals such as Environmental Research Letters, Data Mining and Knowledge Discovery, Remote Sensing, IEEE Transactions on Knowledge and Data Engineering and ACM Transactions on Intelligent Systems and Technology.

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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