Nathaniel Narra

1.5k citations
30 papers · 1.2k · 1 hit paper · h-index 14

Impact in

Papers in

Nathaniel Narra

28 papers receiving 1.1k citations

Nathaniel Narra's Hit Papers

Crop yield prediction with deep convolutional neural networks 2019 · 455 citations
4550+2+4Years since publication100200300400

Peers

Nathaniel Narra
Comparison fields: 5 of 121
  • Orthopedics and Sports Medicine 141
  • Oral Surgery 84
  • Plant Science 415
  • Ecology 268
  • Analytical Chemistry 96
Replace Markku Hauta‐Kasari with:
Markku Hauta‐Kasari Finland
Vito Renò Italy
Daniel C. Moura Portugal
Paul A. Bromiley United Kingdom
Andrew Mehnert Australia
Yongqiang Hu China
Henry A. Williams New Zealand
Abhishek Dutta United Kingdom
Akira Sasao Japan
Li-Peng Liu China
Nathaniel Narra relative to Markku Hauta‐Kasari Finland Markku Hauta‐Kasari's profile →
Citations per field
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Markku Hauta‐Kasari · 1×
Citations per year

Countries citing papers authored by Nathaniel Narra

Since Specialization
Citations

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

Fields of papers citing papers by Nathaniel Narra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Crop yield prediction with deep convolutional neural networks
Hit paper breakdown →
2019455
2 2020121
3 2008111
4 201382
5 200858
6 201543
7 201933
8 201433
9 201727
10 201725
11 201425
12 201824
13 201621
14 201316
15 201813
16 201511
17 200811
18 20159
19 20199
20 20226

About Nathaniel Narra

Nathaniel Narra is a scholar working on Orthopedics and Sports Medicine, Environmental Engineering, Oral Surgery, Biomedical Engineering and Ecology, having authored 30 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bone health and osteoporosis research (7 papers), Bone Tissue Engineering Materials (6 papers), Remote Sensing in Agriculture (5 papers), Remote Sensing and LiDAR Applications (5 papers), Smart Agriculture and AI (5 papers), Dental Implant Techniques and Outcomes (4 papers), Soil Moisture and Remote Sensing (3 papers) and Craniofacial Disorders and Treatments (3 papers). The work is most often cited by research in Orthopedics and Sports Medicine (141 citations), Oral Surgery (84 citations), Plant Science (415 citations), Ecology (268 citations) and Analytical Chemistry (96 citations). Nathaniel Narra has collaborated with scholars based in Finland, Czechia and Netherlands. Frequent co-authors include Tarmo Lipping, Jari Hyttinen, Jan Wolff, Petr Marcián, Markus Hannula, Riku Nikander, Harri T. Sievänen, Libor Borák, George K.B. Sándor and Jiří Valášek. Their work appears in journals such as American Journal of Human Biology, Journal of Biomechanics, Bone, Remote Sensing and The International Journal of Oral & Maxillofacial Implants.

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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