Niv Cohen

778 total citations
8 papers, 132 citations indexed

About

Niv Cohen is a scholar working on Molecular Biology, Artificial Intelligence and Biophysics. According to data from OpenAlex, Niv Cohen has authored 8 papers receiving a total of 132 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Artificial Intelligence and 2 papers in Biophysics. Recurrent topics in Niv Cohen's work include Cell Image Analysis Techniques (2 papers), Machine Learning in Bioinformatics (1 paper) and Photonic and Optical Devices (1 paper). Niv Cohen is often cited by papers focused on Cell Image Analysis Techniques (2 papers), Machine Learning in Bioinformatics (1 paper) and Photonic and Optical Devices (1 paper). Niv Cohen collaborates with scholars based in Israel and United States. Niv Cohen's co-authors include I. D. Zimmerman, M.A. Jiménez-Montaño, Yedid Hoshen, Mor Nitzan, Zoe Piran, Pia Raanani, Nuphar Veiga, Ohad Benjamini, Arnon Nagler and Mark Last and has published in prestigious journals such as Journal of Neuroscience, Nature Biotechnology and Science Advances.

In The Last Decade

Niv Cohen

7 papers receiving 131 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Niv Cohen Israel	5	65	47	31	23	17	8	132
Evan Archer United States	7	23 0.4×	75 1.6×	31 1.0×	53 2.3×	29 1.7×	9	161
Francesco Montefusco Italy	12	151 2.3×	16 0.3×	15 0.5×	12 0.5×	20 1.2×	28	288
Kaan Öcal United Kingdom	5	67 1.0×	82 1.7×	20 0.6×	39 1.7×	34 2.0×	8	192
Josephine Maria Thomas United Kingdom	6	79 1.2×	18 0.4×	72 2.3×	38 1.7×	9 0.5×	7	208
Michael Deistler Germany	3	29 0.4×	86 1.8×	18 0.6×	23 1.0×	37 2.2×	6	136
Yue Deng China	8	113 1.7×	81 1.7×	22 0.7×	29 1.3×	4 0.2×	17	268
Dean M. Kleissas United States	6	25 0.4×	33 0.7×	15 0.5×	10 0.4×	10 0.6×	10	105
William Gray Roncal United States	6	26 0.4×	34 0.7×	15 0.5×	12 0.5×	8 0.5×	6	137
Jens Wilting Germany	6	12 0.2×	163 3.5×	45 1.5×	10 0.4×	58 3.4×	9	183
William Gray-Roncal United States	6	10 0.2×	44 0.9×	6 0.2×	18 0.8×	6 0.4×	19	117

Countries citing papers authored by Niv Cohen

Since Specialization

Citations

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

Fields of papers citing papers by Niv Cohen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niv Cohen

This figure shows the co-authorship network connecting the top 25 collaborators of Niv Cohen. A scholar is included among the top collaborators of Niv Cohen 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 Niv Cohen. Niv Cohen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Piran, Zoe, Niv Cohen, Yedid Hoshen, & Mor Nitzan. (2024). Disentanglement of single-cell data with biolord. Nature Biotechnology. 42(11). 1678–1683. 23 indexed citations

2.

Cohen, Niv, et al.. (2024). Detecting anomalous proteins using deep representations. NAR Genomics and Bioinformatics. 6(1). lqae021–lqae021. 4 indexed citations

3.

Cohen, Niv, et al.. (2024). SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image Classification. 136620–136645.

4.

Last, Mark, et al.. (2023). Towards efficient image-based representation of tabular data. Neural Computing and Applications. 36(2). 1023–1043. 6 indexed citations

5.

Edrei, Eitan, et al.. (2022). Chip-scale atomic wave-meter enabled by machine learning. Science Advances. 8(15). eabn3391–eabn3391. 7 indexed citations

6.

Cohen, Niv, et al.. (2021). PANDA - Adapting Pretrained Features for Anomaly Detection. 2 indexed citations

7.

Kon, Edo, Inbal Hazan‐Halevy, Daniel Rosenblum, et al.. (2020). Resveratrol Enhances mRNA and siRNA Lipid Nanoparticles Primary CLL Cell Transfection. Pharmaceutics. 12(6). 520–520. 18 indexed citations

8.

Zimmerman, I. D., et al.. (1994). The algorithmic complexity of neural spike trains increases during focal seizures. Journal of Neuroscience. 14(8). 4731–4739. 72 indexed citations

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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