Nir Yaacobi‐Gross

2.5k citations
23 papers · 2.3k · h-index 20

Impact in

Papers in

Nir Yaacobi‐Gross

23 papers receiving 2.2k citations

Peers

Nir Yaacobi‐Gross
Comparison fields: 5 of 64
  • Polymers and Plastics 1.1k
  • Electrical and Electronic Engineering 1.8k
  • Materials Chemistry 919
  • Bioengineering 47
  • Biomedical Engineering 342
Replace Calvin Chan with:
Calvin Chan United States
Christine Videlot‐Ackermann France
Ian E. Jacobs United States
Yugeng Wen China
Rémi de Bettignies France
Orb Acton United States
Hans‐Hermann Johannes Germany
Junto Tsurumi Japan
Zhenbo Deng China
Sandra Gardner Canada
Nir Yaacobi‐Gross relative to Calvin Chan United States Calvin Chan's profile →
Citations per field
00.5×2.8×
Calvin Chan · 1×
Citations per year

Countries citing papers authored by Nir Yaacobi‐Gross

Since Specialization
Citations

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

Fields of papers citing papers by Nir Yaacobi‐Gross

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nir Yaacobi‐Gross. 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 Nir Yaacobi‐Gross. The network helps show where Nir Yaacobi‐Gross may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012344
2 2018226
3 2012196
4 2014174
5 2012170
6 2008161
7 2014154
8 2013132
9 201796
10 201587
11 201176
12 201262
13 201458
14 201554
15 201344
16 201543
17 201736
18 201232
19 201431
20 201527

About Nir Yaacobi‐Gross

Nir Yaacobi‐Gross is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics, Materials Chemistry, Biomedical Engineering and Organic Chemistry, having authored 23 papers that have together received 2.3k indexed citations. Recurring topics across this work include Conducting polymers and applications (13 papers), Organic Electronics and Photovoltaics (13 papers), Perovskite Materials and Applications (6 papers), Organic Light-Emitting Diodes Research (5 papers), Quantum Dots Synthesis And Properties (4 papers), Chalcogenide Semiconductor Thin Films (4 papers), Advanced Sensor and Energy Harvesting Materials (3 papers) and Luminescence and Fluorescent Materials (2 papers). The work is most often cited by research in Polymers and Plastics (1.1k citations), Electrical and Electronic Engineering (1.8k citations), Materials Chemistry (919 citations), Bioengineering (47 citations) and Biomedical Engineering (342 citations). Nir Yaacobi‐Gross has collaborated with scholars based in United Kingdom, United States and Saudi Arabia. Frequent co-authors include Thomas D. Anthopoulos, Aram Amassian, Pichaya Pattanasattayavong, Kang Wei Chou, Satish Patil, Catherine Kanimozhi, Hendrik Faber, Donal D. C. Bradley, Ajay Perumal and Brian C. O’Regan. Their work appears in journals such as Macromolecules, Applied Physics Letters, Advanced Materials, Journal of the American Chemical Society and Chemical Communications.

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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