Sunil K. Mathanker

741 citations
32 papers · 588 indexed · h-index 12

Impact in

Papers in

Sunil K. Mathanker

31 papers receiving 534 citations

Peers

Sunil K. Mathanker
Comparison fields: 5 of 93
  • Agronomy and Crop Science 88
  • Analytical Chemistry 76
  • Mechanical Engineering 202
  • Plant Science 185
  • Civil and Structural Engineering 102
Replace Paul R. Weckler with:
Paul R. Weckler United States
Xiu Wang China
Xiaoli Jia China
Anina Guelpa South Africa
Qingxi Liao China
Imtiaz Hussain Pakistan
Linyun Xu China
Vaibhav Kumar Singh India
I.J. Bennett Netherlands
Hao Gan United States
Sunil K. Mathanker relative to Paul R. Weckler United States Paul R. Weckler's profile →
Citations per field
00.5×3.5×
Paul R. Weckler · 1×
Citations per year

Countries citing papers authored by Sunil K. Mathanker

Since Specialization
Citations

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

Fields of papers citing papers by Sunil K. Mathanker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sunil K. Mathanker, 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 Sunil K. Mathanker Line = papers co-authored together Sunil K. Mathanker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20211
2 201518
3 20153
4 201431
5 20146
6 201414
7 20131
8 201381
9 20138
10 201353
11 201234
12 20124
13 20121
14 20126
15 201275
16 20107
17
Development of a New Local Adaptive Thresholding Method and Classification Algorithms for X-ray Machine Vision Inspection of Pecans
20101
18 20083
19 200712
20 20073

About Sunil K. Mathanker

Sunil K. Mathanker is a scholar working on Agronomy and Crop Science, Horticulture, Analytical Chemistry, Biomedical Engineering and Plant Science, having authored 32 papers that have together received 588 indexed citations. Recurring topics across this work include Bioenergy crop production and management (15 papers), Biofuel production and bioconversion (14 papers), Agricultural Engineering and Mechanization (10 papers), Spectroscopy and Chemometric Analyses (6 papers), Forest Biomass Utilization and Management (6 papers), Smart Agriculture and AI (6 papers), Sugarcane Cultivation and Processing (3 papers) and Identification and Quantification in Food (2 papers). The work is most often cited by research in Agronomy and Crop Science (88 citations), Analytical Chemistry (76 citations), Mechanical Engineering (202 citations), Plant Science (185 citations) and Civil and Structural Engineering (102 citations). Sunil K. Mathanker has collaborated with scholars based in United States, Bulgaria and South Africa. Frequent co-authors include Paul R. Weckler, Tony E. Grift, Alan C. Hansen, Ning Wang, Clairmont L. Clementson, Niels O. Maness, Zewei Miao, James W. Phillips, Qin Zhang and Alexander Hansen. Their work appears in journals such as Transactions of the ASABE, Biomass and Bioenergy, Biosystems Engineering, Applied Engineering in Agriculture and Computers and Electronics in Agriculture.

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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